Selena Connealy: Great afternoon, every person. I'' m Selena Connealy Selena Connealy: The Associate. Director for New Mexico EPSCoR Selena Connealy: And along with Brittney Van Der Werff we'' re hosting.
today'' s Smart Grid seminar. Brittney ' s running the show behind the scenes.
and she'' ll be moderating the questions for us. Selena Connealy: Before we begin, I.
simply desire to do a little bit of housekeeping, we are videotaping this seminar.
and we'' ll make it available on our web site possibly sometime next week, so.
please know that that is readily available to you. Selena Connealy: And also we Selena Connealy: Have permitted time.
for inquiry and response for all of our speakers today.So please
.
use the inquiry and answer box here on your zoom screen and you'' re welcome. to ask your inquiry at any kind of time and then Brittney will certainly moderate those and.
ask the inquiries of the speakers Selena Connealy: In in between times..
I'' d like to invite you today to the clever grid workshop, which is component.
of the New Mexico research Seminar, which we host every year in cooperation with.
our companion. The New Mexico Academy of Scientific Research. Selena Connealy: Naturally, this year.
we'' re a totally digital seminar. Selena Connealy: And we'' ve had events. occurring across this whole week. We began in November 9 with a fantastic. keynote address provided by Dr. Bette Korber Selena Connealy: Which will also be available.
on our web site. And it was absolutely prompt since he discussed infection research study and the.
things that are taking place at LANL in assistance of the remedy for COVID-19 as well as vaccines.Selena Connealy:
The poster. session opened on Tuesday, and there was an opportunity for individuals to view.
the posters and vote for their favorite. I believe that voting is now shut..
The posters are still readily available. Selena Connealy: And after that today..
You can see the clever grid seminar, which is featuring pupils from the New.
Mexico SMART Grid Center at New Mexico State Selena Connealy: And the College of New Mexico. Selena Connealy: I wish to.
invite you to join us tomorrow, Friday at 3 o'' clock for the award event.
where we will be identifying superior service to scientific research superior scientific research educators and as.
will certainly be open, not only via this week for the study Seminar, but possibly with.
the remainder of the year. So you have possibilities to Selena Connealy: To see and.
join those things, also if you weren'' t able
to. do that earlier in the week. Selena Connealy: I'' d like to. take simply a number of minutes to to offer you some context around.
The New Mexico SMART GRID. Selena Connealy: It is a task.
provide by New Mexico EPSCoR and the objective of EPSCoR is to sustain the.
research capability of our entire state.Selena Connealy: The Wise GRID CENTER. is an NSF funded award.
You who ' s included in our SMART GRID. Selena Connealy: So we have the 3. Selena Connealy: We also collaborate with a.
Selena Connealy: And you '
ll notice that. I ' d like to introduce our speakers today we ' re going to listen to first from Shuba.
Pati from New Mexico State then Jesse Selena Connealy: Ka– aw I knew I was gon na mess. this up– I'created it down. Kaczmarski from UNM Selena Connealy: Ali Ghorashi. from UNM and afterwards Anju James from New Mexico State. Each of our. pupils will certainly have an opportunity to do Selena Connealy:
A quick discussion. regarding 15 mins will certainly stop briefly for inquiries and then we '
ll move on to the next.Selena Connealy: Student If we have. time at the end.
We ' d be satisfied to captivate some even more questions.
Shubhasmita Pati: Thank you. Shubhasmita Pati: Hi every person I ' m Shuba and today I ' m.
get damaged.Some of the lines obtain reduced and some of the generator could stop working all of these points. normally causes close down of the power system. Shubhasmita Pati: As an example, in case of a.
Shubhasmita Pati: So exactly how do. Shubhasmita Pati: The ability of the. Shubhasmita Pati: Now that resiliency is defined
.
So, in situation of resiliency, the priority is to promptly. recover through energetic monitoring of the grid.
We do that by making the infrastructure repetitive.
the situation of resiliency- it is time sensitive Shubhasmita Pati: Whereas in reliability,. we concentrate on the continuity of the service in instance of resiliency, we concentrate on repair work emergency actions, whereas in situation
of dependability,. we concentrate on safety and security and over-anticipation Shubhasmita Pati:
Currently, in situation of. resiliency.We have 2 components. First is the resiliency oriented style and the. next is the resiliency oriented operation. Shubhasmita Pati: So primarily, in case. of resiliency oriented layout we concentrate on generally the facilities improvements like. the fortifying of the vulnerable element enhancing adequacy of the power supply. rises enhancing topological flexibility. Shubhasmita Pati: Additionally, in instance of resiliency. oriented style we concentrate on a few of the several of the particular style activity where we can boost. the resiliency like updating the pole classes, adding transverse guys,
setting up. back-up DGs or including sectionalizes. Shubhasmita Pati: So for circumstances, we have.
IEEE reliability test system and we have taken 2 situations.
specify the unbiased feature. So, below the objective function is to.
minimize the throughput, or we can state, lessen make the most of, sorry- make the most of the.
throughput and lessen the inequality between the Shubhasmita Pati: Overall. generation and the total demand. This is like your ideal power circulation trouble.
Shubhasmita Pati: In this unbiased function we have restraints. on generation along with line ability. Shubhasmita Pati: Together With that
we have. taken extra restraints to ensure that we can constantly supply the power to the. essential tons at every point of time.Shubhasmita Pati: Currently when I, we mimic the.
case one. You can see there are some lines that are green and the some lines that.
I indicate, the. Shubhasmita Pati: In resiliency oriented. Our concern is mostly optimal organizing.
Shubhasmita Pati: So, which. Shubhasmita Pati: Now in this situation context.
Shubhasmita Pati: So there are functional. uncertainties in the load certain loads doesn ' t preserve same level of urgency. in all. The factor of time, for instance. Shubhasmita Pati: The power supply. to a subway train network is important for a particular time after a tornado or cyclone.
or a natural calamities hits which will allow Shubhasmita Pati: The train to work out either. at their location or it nearby station nevertheless when the trains are parked. the procedure can be halted momentarily to make certain the safety and upkeep. Throughout this moment the subway train network may. no longer act as critical tons to the grid. Shubhasmita Pati: Now, in enhancement to.
the moment differing criticality of the tons we likewise understand that like wind generators. are affected by calamities like hurricane.Shubhasmita Pati: Is in instance of hurricane twister. that wind power generation is a feature of time. So in order to model that we are added. this construct. K essential as you can see below Shubhasmita Pati: K essential is the collection. containing the indices of all the loads with time throughout fidelity where lambretta. stands for the fraction of the situation important tons that
needs to be supplied for a given. disaster circumstance A as feature of time. Shubhasmita Pati: Then Shubhasmita Pati: We also think that the. load varies arbitrarily relative to time. Shubhasmita Pati: Below
the KDER are. is the collection being composed of the index of each DER and Mu is the fraction of the power.
produced by the KDER, for scenario s at time t Shubhasmita Pati: Now the power need of load is thought to. become making up of 2 random variables. Shubhasmita Pati: rvi and rviq, one for.
energetic power and one for reactive power. and hourly normalized tons profile.As. you can see below, and we have taken Mu Shubhasmita Pati: Mean and. a common deviation is.02. So rviP and rviO represent the arbitrary adjustments in the. need of genuine and responsive power, respectively. Shubhasmita Pati: And below we have.
taken the typical distribution. Shubhasmita Pati: Currently we refer to. the resiliency contour to determine the frailty of the grid of a. particular calamity circumstance. Shubhasmita Pati: The resiliency curve. or the fragility curve associates with the adversarial variable such climate intensity to.
failure chance of the specific elements. In this c contour the. overlapping failing most likely particular probability is shown as a feature of wind rate. Shubhasmita Pati: Then we defined a metric for. measuring the resiliency rating of a system. Shubhasmita Pati: Which could. which we call danger index.
Shubhasmita Pati: Where you can see Pk is. the possibility of the event for the situation situation at Fk the metrology of its. impact or the death linked
with it. Shubhasmita Pati: Now, the major objective. is to maximize the procedure of the great in reaction to the adversarial circumstance. Shubhasmita Pati: Here. Our objective. is to supply the optimum power to the load maximum power of power to. the load.Given the restricted generation. Shubhasmita Pati: The optimum
. power circulation solution are computed at every 10 mins at dealt with interval. which is 10 mins we have actually taken to suit the uncertainty, such as. the moment differing urgency of the load, the loss in DER generation that. topological adjustments and adversarial event Shubhasmita Pati: Currently, Shubhasmita Pati: So here you can.
see we have the algorithm right here for resiliency oriented operation where Shubhasmita Pati: We averaged, the third vector. and identify the moment differing failing viability of important infrastructure and Shubhasmita Pati: And predict the moment varity.
Shubhasmita Pati: Below for a. We have taken the IEEE 24 bus.
dependability test system at bus 19 and 3 Shubhasmita Pati: And we are. attached to IEEE 13 bus system. Shubhasmita Pati: We have actually taken two IEEE bus systems to do the.
study.So here we utilize our device in MATLAB for the transmission system modeling and we utilized to have. open DSS for the circulation system modeling. Shubhasmita Pati: Currently Shubhasmita Pati: We specify a dummy catastrophe. situation like we specify the natural catastrophe
situation where both the transmission. and circulation grids are affected. Shubhasmita Pati: We assume. faulted fault and stumbling at some busses loss of particular. circulation generation and loads we think that the lots at bus 20 as you have. seen before is the time varying important lots where the important nature of the load for circumstance.
Shubhasmita Pati: Now for modeling.
Shubhasmita Pati: Now this graph shows the value of the goal. feature corresponding to the optimal power circulation at every 10 minutes. This is simply a straightforward examination.
situation we are servicing producing on some Shubhasmita Pati: Test instances which. look like to the actual world situation to ensure that we can boost the resiliency stamina Shubhasmita Pati: So right here you can see heaven. line shows the worths of the unbiased feature we keep the criticality of the tons taken care of
were a the lines that red below we differ.
the criticality of the loads dynamically Shubhasmita Pati: Say thanks to you.Brittney Van Der Werff:. Superior discussion Shuba. Brittney Van Der Werff: As we wait on inquiries to come in. I ' ll have well. I have one I ' d like to ask Brittney Van Der Werff: For myself,.
Shubhasmita Pati: My future Shubhasmita Pati: Our direction.
Brittney Van Der Werff: And what
. Were you assuming … Shubhasmita Pati: Of like … umm Shubhasmita
Pati: Like Shubhasmita Pati: In case instance.
I was. just questioning, I understand it ' s especially appropriate for everybody to live in New Mexico
. To think of wildfires and how they affect our power distribution grid. And so I ' m wagering'.
that you ' re probably check out that, too, or possibly Certain.
Brittney Van Der Werff: Okay. Alright. Brittney Van Der Werff: We have a Brittney Van Der Werff: Couple Of. minutes the questions and if you can always ask concerns for Shuba. At the end if we have time. Brittney Van'Der Werff: So we '
ll give it regarding another 30 secs and. after that we ' re mosting likely to go on to Brittney Van Der Werff: Jesse Brittney Van Der Werff: Once more, thank you so.
much for the discussion Shuba that was amazing. Selena Connealy: Thanks, Shuba.
We. truly value your you ' re talk and your payments to the New Mexico.
WISE GRID CENTER.So many thanks so a lot. Selena Connealy: For your time and power. Selena Connealy: Correctly.
It ' s I ' m. Jesse Kaczmarski, I ' m
almost nearly obtaining,. Jesse Kaczmarski: Okay, so what ' s nice regarding the Jesse Kaczmarski: The previous presentation is.
Division particularly for the SMART Grid center.Jesse Kaczmarski: So allow me just move the panel. of individuals because it ' s covering my slides.'There we go. Okay, so my name is Jesse Kaczmarski I ' m you understand working out of the. Division of Business Economics right here at UNM Jesse Kaczmarski: I ' m a third year PhD student and I am below to provide the second study. installment that we ' ve provided for this. Jesse Kaczmarski: For this EPSCoR project. So the title of this one is the customer approval.
and demand of micro grid installments. Jesse Kaczmarski: In especially we ' re. concentrating on the four corners. So we ' ve got Arizona, Colorado,
Utah, and New Mexico. Jesse Kaczmarski: And this is a measurement of. this bigger'project that is frequently overlooked. Right. It ' s very common to develop the systems. needed for distributed feeder mini grid. Jesse Kaczmarski: However after that
there ' s the. If we build it they will come.It, other facet of it ' s not always just. requirements to be desired. . Therefore in Jesse Kaczmarski: That ' s what.
Okay, so Jesse Kaczmarski: mini grids. They ' ve come to be an essential right in this
push towards grid. The initial point would be the clever grid.
I would say quite. a few of these mini grid installations. Jesse Kaczmarski: They, they are either done. readily. These are large facilities that will certainly install them so that they can maintain up time. if there are any type of concerns with the grid or say they Jesse Kaczmarski: Attract also much electricity, that. type of point. After that as we look in the direction of grid innovation, in the future, specifically locations. that have reduced dependability or go to raised Jesse Kaczmarski: Danger for resilience. concerns the micro grid ends up being a really
Jesse Kaczmarski: Common. service that ' s commonly recommend, yet the costs connected are extremely. Since each mini grid installation is constructed, tough to gauge.
Jesse Kaczmarski: Of that area
. Electrical power consumers themselves would certainly. Are they a community, that ' s the.
It really depends a great deal on that particular. Jesse Kaczmarski: However so what we ' re. going to do here in this
the study is we ' re mosting likely to assess. especially a distributed Jesse Kaczmarski: feeder mini grid installment for neighborhood resilience and.
liability in the four corners and so Jesse Kaczmarski: We figured.
that it ' s truly crucial that consumers have a say in this choice to. introduce a mini grid right into their grid.
Shubhasmita Pati: Hi everybody I ' m Shuba and today I ' m. Shubhasmita Pati: So basically, in case. Shubhasmita Pati: Now in this instance context. Shubhasmita Pati: My future Shubhasmita Pati: Our instructions. Were you thinking … Shubhasmita Pati: Of like … umm Shubhasmita
Pati: Like Shubhasmita Pati: In case instance.Jesse Kaczmarski: So they'' re in what they may think'it ' s a great
idea of. mini grid so may be a fantastic idea but Jesse Kaczmarski: I don'' t wish to in my yard..
There'' s that that kind of element to it, also. Therefore actually what I'' m trying to. carry out in this survey is elicit though what drives the choice production.
I ' m not going to go into too much deepness, yet the distributed feeder micro grid. That ' s primarily that ' s what we ' re trying to evaluate. It ' s not as simple as stating, okay, yes, there ' s a result of durability.
have any power outages and if you do, it ' s going to be, you understand, perhaps.
like 30 mins at the optimum end Jesse Kaczmarski: So the, the security and.
safety and security ratings and things like that right here in in in metropolitan locations in this in the.
southwest especially are extremely high.Jesse Kaczmarski: Since we ' re not as prone to.
natural catastrophes as other locations of the nation.
Therefore the need or the need is'not always there, but there are methods to enlighten and. notify individuals to make sure that there we can attempt to elicit their real desire. to pay. We asked these consumers. Jesse Kaczmarski: Would certainly they be eager to pay. Jesse Kaczmarski: Process.It ' s really.
belief, we see commonly has Jesse Kaczmarski: Influence on decision production.
processes and after that preferences and attitudes and those, that ' s a very wide term that I. left there, however that can be anything from their attitudes and preferences in the direction of.
contamination from electrical energy generation. Jesse Kaczmarski: To things like they put on ' t agree that the consumer is the one that ' s. expected to pay for it. You recognize, there ' s lots of Jesse Kaczmarski: Their attitudes. choices that'drop under the ideological banner and then there ' s the. socio market banner.So points like Jesse Kaczmarski: Exactly how enlightened.
person is just how much earnings
they have actually has a large effect where they are.
Jesse Kaczmarski: Issues, things like that. And versus people as I had discussed previously, that that are in the city setting that. Jesse Kaczmarski: And other.
there ' s additionally a specific need so Jesse Kaczmarski: I, I might desire the micro. grid because I know that a certain part of my neighborhood might gain from it, however I. put on ' t particularly need one or the other way around. And afterwards the information.So our people fully. enlightened on the mini grid what its benefits are Jesse Kaczmarski: What ' s it what
its'prices are. excuse me what it can be utilized for because when you say mini grid.
It ' s such a such a broad word. It micro grids differ dramatically and from that that feature of those procedures
you you can. you can evoke an of course, no, or not certain feedback. Jesse Kaczmarski: Therefore we did in fact. carry out a study, we ' re still carrying out a study. That ' s why this is the outcomes right here
. I should have discussed previously preliminary Jesse Kaczmarski: So they ' re not
. This is an insufficient'study. We began offering people in September. and we ' re presently offering individuals. We have about 3500 responses at the. minute. From the 4 corners states. Jesse Kaczmarski: And we ' re attempting. Currently to obtain up to 5500 actions.
And so we ' re. Jesse Kaczmarski: The feedback there they ' re.
We ' re trying right now our most hard. We ' ve already obtained our easy actions.
off the beaten track, you understand, the city high revenue, that kind of point. We ' re now we ' re having problems.
with reduced income country individuals getting those Jesse Kaczmarski: Responses and after that. claimed these sorts of responses there gathered via qualtrix. It ' s. a salt lake city based business and Jesse Kaczmarski: To so they ' re. dealing with that collection. Now, we were close together,.
Jesse Kaczmarski: But we in fact additionally random. we desired to establish just how do people ' s wish. If they obtain direct advantages.
in your neighborhood. During high stress occasions. Jesse Kaczmarski: And after that indirect.
advantages is where we generally avoid that and stated that it was installed in the nearby. community, however in times of grid anxiety that micro grid getting on the larger grid might decrease the.
probability of interruptions in your in your area. Jesse Kaczmarski: And so you primarily have 2 extremely various benefit frameworks that. we ' re offering to the respondent.
20 %I believe there ' s
a latest most recent Figure could might discover Just% of micro mini in. We said we didn ' t state that it was going to be renewable. Jesse Kaczmarski: And we utilize that.
in contrasted it to the average price of power per kilowatt hour in the. southwest.
And that ' s where we left it so Jesse Kaczmarski: And After That for because.
We told them concerning how mini grids supply critical infrastructure.
Jesse Kaczmarski: Would Certainly you. Jesse Kaczmarski: For 24 payment. This is a 2 year dedication that they ' re asked to.
50 cents included to their bill for 24 cycles, but some individuals would certainly even
.
we use it. We utilize a logistic regression to estimate our point quotes and after that we. use mean determination to pay estimations. Jesse Kaczmarski: Typically,.
that ' s that ' s from Cameron and James, but we make use of a hobby McConnell technique from. 2003 that ' s simply the citation for you.
Jesse Kaczmarski: Yet this exponential rise is. interesting due to the fact that we ' re mosting likely to be able to see how individuals respond in their ballots, depending
. on just how much money that we inquired to pay for
Jesse Kaczmarski: And you see that right here.
So. what you would certainly want to see is specifically what we see in our responses.So individuals who.
voted yes in the top left panel. Jesse Kaczmarski: They voted indeed. extremely when they saw truly reduced quote offers are used repayments. Right. Jesse Kaczmarski: So if the price was. within like 10 cents five cents, whatever they were stating yes, you understand, and that ' s.
not a large deal. It ' s not a big bargain. The even more you asked individuals to pay the last people said.
of course. And the contrary ought to then hold true by Jesse Kaczmarski: Its. Yes. So the opposite of that after that be true. in the no results. So individuals who elected no. Jesse Kaczmarski: Extremely,. most likely did so because they were seeing very high reactions. You see.
that with the higher incline there. Jesse Kaczmarski: Additionally these lines. aren ' t fitted in any kind of way.I just tossed these on there in PowerPoint to reveal. it directionality. So it ' s not that excellent. and after that for the uncertain votes if individuals. are really unsure, there should be no Jesse Kaczmarski:'Visible distinction in. a fad basically in deal payments by vote type and what we do, we do see that so Jesse Kaczmarski: That ' s, that ' s a. good little check to see that people are really claiming uncertain since they ' re. Not certain which is which is a nice little check Jesse Kaczmarski: And so we ask them. before that question that you saw, we asked them, initially, if it was no charge to you.
Jesse Kaczmarski: Would you vote. Jesse Kaczmarski: Or I ' m sorry, not. I don ' t utilize any type of point approximates
in here right here due to the fact that wouldWould certainly
Jesse Kaczmarski: However some vital takeaways from. what we find is that the more so the much more that Jesse Kaczmarski: The used payment is.
So the. much more we inquired to pay the much less most likely they ' re mosting likely to say yes.
All of these are in connection. We really recoded not sures as nos we didn ' t offer them the possibility.
We just videotaped them as not exactly sure
, or I ' m sorry, no. So these. are extremely traditional price quotes, yet Jesse Kaczmarski: So appropriate and so if they. fell under the group of participants who were mosting likely to receive direct. gain from the mini grid. There were a lot more most likely. to take part in this study.Jesse Kaczmarski: I ' m sorry, in that to elect. indeed on the vote and after that the energy. Do they assume that their energy actually has'their benefits in mind this. is a truly great question due to the fact that Jesse Kaczmarski: You'wish to. attempt to elicit do they do the individuals that are reacting thing really like. trust fund. They ' re really their service provider. . Do they assume that the providers,. doing the ideal things for that. Jesse Kaczmarski: That individuals that agree with.
that actually did see take part in the program, a great deal more and then whether they had a. problem for air pollution from electrical power manufacturing was additionally positive and statistically. significant.This is interesting due to the fact that Jesse Kaczmarski: It kind of creates.
this this small device in between do they believe mini grids are mosting likely to somehow. lead to a reduction electricity manufacturing. This isn ' t always real. And. people who bring a lot of people in urban settings in fact receive. electrical power from bigger, you understand, Jesse Kaczmarski: Plants that are really far,. Like we obtain a great deal of power from the four'edges power plants and points like this and. they involve us. However what we ' re chatting about is Jesse Kaczmarski: Adding a micro grid to. your, your area where its going to generate electrical energy in your area. So it almost. maybe thus at individuals not fully comprehending Jesse Kaczmarski: or considering that. electing indeed for this may suggest that you ' re mosting likely to have a natural
gas or diesel generator. two blocks from your home. So, you know, Jesse Kaczmarski: So individuals. that wasn ' t extremely clear and after that type of this price sharing belief,.
we asked them, Do you believe that electrical power consumers must bear. a worry and sharing costs for Jesse Kaczmarski: For this micro grid. for like framework upgrades people that did agree with that and we ' re. far more likely to participate.Jesse Kaczmarski: political belief, this. is unfavorable due to the fact that we measured it on a scale where from the mean. Are you extra. traditional so extra traditional respondents Jesse Kaczmarski: Who self. reported being extra conventional or less most likely to join. this this mini grid installment. Jesse Kaczmarski: People who. work from home article COVID, far more most likely, which ' s likely. as a result of the recommended integrity advantages of Neighborhood microgrid and. then revenue is just a check'that we do.Jesse Kaczmarski: If you have. even more cash economic theory,
a very superficial economic theory ought to suggest that you you ' re able to have even more non reusable revenue. and more likely to take part. And that was true.
Jesse Kaczmarski: And so from those price quotes. Jesse Kaczmarski: For direct advantages, those are.
for people who are mosting likely to obtain the direct benefits for indirect you would
expect.And it is. what we see that there is less willingness to pay. By $2 which is a which is a big quantity in. these are both very statistically'substantial
. Jesse Kaczmarski: At the ni -I think at the. 99% self-confidence period.
So really strong outcomes and afterwards that that right most column. is mosting likely to be the total amount over the 24 months and after that if when you include the actual. covariance right here that were used to predict Jesse Kaczmarski: And this is this is much more getting
. into the weeds of just how we do readiness to pay calculations.It doesn ' t really alter that. a lot from the original price quotes and this is calculated once again as I stated earlier, using Hobb and. McConnell ' s linear readiness to pay method. Jesse Kaczmarski: Therefore these are preliminary. results. These are simply a sub sample of the, the overall results that we ' re,.
we ' re, we ' re trying to get yet our future research.
Many like. that is extremely easy, very shallow Jesse Kaczmarski: Analysis of what we have.
actually taking place, what we ' re going to be doing a whole lot of is diversification analysis.
.
Looking at regional, so just how does Utah willingness to how does willingness to pay vary. from remaining in Utah or Arizona and New Mexico. Jesse Kaczmarski: What concerning rural, city. splits. So those those country individuals who endure a lot more so from interruptions and points like that. Jesse Kaczmarski: Are they ready to. pay more or less.I ' m uncertain, due to the fact that being rural is often a lot more.
correlated with having much less income. We ' re going to be digging into that some more.
Jesse Kaczmarski: We ' re going to also be looking.
at the distinctions of readiness to pay among various demographics and then. political ideologies and then Jesse Kaczmarski: We likewise have
a lot whole lot to look. right into in the survey. I mean, we have points like Jesse Kaczmarski: How frequent was. the remote just how frequent are outages for them. What was their longest outage
. Have they ever'been affected by wildfire. We have an entire wildfire analysis area. that my coworkers mosting likely to be servicing. Jesse Kaczmarski: Exactly How does the.
When they recognize that they ' re prepared, reaction modification. The my credit history is. for wildfire reduction things like this. Jesse Kaczmarski: And after that, yeah, right. . I ' m waiting on the staying survey feedbacks, and then we ' ll be doing ourselves. Jesse Kaczmarski: I ' ll be doing a.
Because I asked a concern in the study that, review of ready to pay. said, would your solution have changed.If the mini grid is ensured to be all sustainable Jesse
Kaczmarski: Therefore
I'' ll be able to take. those that reaction and re code responses and see, you recognize, what does the willingness to. pay resemble if it is all renewable right Jesse Kaczmarski: It ' d be extremely fascinating to go. right into that and after that as being in on the New Mexico SMART GRID CENTER, we plan
to do a mini evaluation. of New Mexico. So we oversample for New Mexico. Jesse Kaczmarski:
And so we ' re going. to be doing a mini analysis of that with that said that ' s completion of my presentation. And I ' d be more than delighted to take concerns. So Brittney Van Der Werff:. Awesome! constantly so much fun.Brittney Van Der Werff: So I we ' re a little.
If we obtain any kind of questions in the q & a box. And we have great deals of controls for that due to the fact that Jesse Kaczmarski: We didn ' t.
know, as a result of COVID-19 Jesse Kaczmarski: Are you already said economically. influenced.
That ' s the big one is the monetary effect of COVID 19 because that we ' re asking. And so we have questions in the survey and we were able.
to estimate exactly how those influence responses. So we can run those in. the logistic regression and see Jesse
Kaczmarski: If they ' re financially affected. by COIVD&does that modification the probability that they ' re going to vote yes or no in the program. I have yet to do that analysis currently. Jesse Kaczmarski: However that ' s. an actually fantastic question. It ' s there. And we ' re going to go. into that a great deal.
So are afraid fear say goodbye to.
Jesse Kaczmarski: Will'care for that. Brittney Van Der Werff: I believe. we ' re gon na proceed on …
That ' s generally that ' s what we ' re attempting to evaluate. It ' s not as basic as stating, all right, yes, there ' s a result of resilience. Jesse Kaczmarski: To things like they don ' t agree that the consumer is the one that ' s. I ' m waiting for the remaining study actions, and then we ' ll be doing ourselves. That ' s the big one is the economic influence of COVID 19 since that we ' re asking.Selena Connealy: Thanks, Brittney, and.
thanks Jesse So a lot for your talk. It'' s really amazing to see the kinds.
of results that you'' re getting it ' s Selena Connealy: It ' s I as a social researcher.
myself.I ' m thankful to see that that people are consisted of into these general designs and it. appears extremely vital.
We truly value your,.
your energy and time on on the Jesse Kaczmarski: SMART GRID CENTER research and Selena Connealy: Thanks so. a lot for being with us today. Jesse Kaczmarski: There, there is a. inquiry that just turned up in the chat.
Selena Connealy: Oh please, go for it. Brittney Van Der Werff: Yeah yeah Jesse Kaczmarski: Give me simply. I ' ll take a read.
Jesse Kaczmarski: Yeah, so I went over. That ' s a, that ' s a really good question since Jesse Kaczmarski: Yeah, so that that. I put on ' t
have to hold the space where but Jesse Kaczmarski: Wow, that ' s a, that ' s a heck of.
grids are totally renewable is simply'not true. Jesse Kaczmarski: And yet if. it held true, you recognize, if, if, if we do start just, you know,. using only sustainable electrical power that could change actions entirely
. Which ' s type of a bigger focus of my my my future research study coming up right here, we have. inquiries for that like I discussed earlier. Jesse Kaczmarski: However political. belief and its effect, you recognize, that ' s typically an action that ' s related to. rhetoric and after that additionally the, the system in between Jesse Kaczmarski: political belief and mini. grid installments'. It might not necessarily be as a result of renewable resource or anything like. that, it might really be a lot extra so.Jesse Kaczmarski: That Jesse Kaczmarski: political ideology is Jesse Kaczmarski: Associated. with being fiscally conventional and so there could not want to.
spend in community jobs as an outcome. So there ' s a great deal to unbox there.
And. I really think that the eco-friendly pleasant. Jesse Kaczmarski: Discussion is going. to be really small portion of what drives political ideological backgrounds connection. with microgrid setups. Yeah. Selena Connealy: Thank you so a lot. Yeah,. it feels like this is especially fascinating time to be doing this work as points. are are altering in the atmosphere. Selena Connealy: So I would such as to. present our next speaker for today which is Ali Ghorashi and he functions with Dr. Ali Bidrem at the University of New Mexico, and I ' ll let Ali mute and share your screen.Seyyed Ali Ghorashi Khalil Abadi: Hi. everybody I ' m Alie.
I ' m a PhD pupil at UNM.
I'' m going to chat regarding the cooperative. Seyyed Ali Ghorashi Khalil Abadi: I go over about.
And after that, they recommend the dispersed hybrid. Seyyed Ali Ghorashi Khalil Abadi: And after that I.
I will conclude this discussion. Seyyed Ali Ghorashi Khalil Abadi: So the first.
inquiry is that why vibrant power harmonizing is essential.
You know, it ' s a basic guideline in power. systems that the quantity of power that is created should be always equivalent to the amount of power that. is consumed.Otherwise, we will have a power outage.
Seyyed Ali Ghorashi Khalil Abadi: Once More,. In this situation, you can enhance the fuel
on the engine.
You can conveniently Seyyed Ali Ghorashi Khalil Abadi: Control the. In the systems that we have no.
access to the (unknown word )grid. A simulated an. separated mini grid system. Seyyed Ali Ghorashi Khalil Abadi:. If we need extra gadgets in order to stabilize the generation load.And. these gadgets are power storage systems. Here you can see an extremely straightforward description of just how.
Seyyed Ali Ghorashi Khalil Abadi:. In a very easy term we send the distinction between the generation power and. Seyyed Ali Ghorashi Khalil Abadi: When the PV.
power generation is difficult and the load power to power of their power sources and is.
unfavorable so the power source system plays Seyyed Ali Ghorashi Khalil Abadi: The duty.
Seyyed Ali Ghorashi Khalil Abadi:. Seyyed Ali Ghorashi Khalil Abadi:
There is needsRequirements Seyyed Ali Ghorashi Khalil Abadi:.
this high frequency variant in sometimes a separated system, you might have. some slight inconsistency in the voltage and frequency Seyyed Ali Ghorashi Khalil Abadi: On top of that,.
these batteries have restricted life process. I suggest, the variety of time that we can.
Seyyed Ali Ghorashi Khalil Abadi: In order to.
Seyyed Ali Ghorashi Khalil Abadi: Here. you can see just how hybrid power storage space system functions. As you can see there.
is a power management system which is responsible for
power allowance between. various various power storage units. Seyyed Ali Ghorashi Khalil Abadi:.
As you can see, it sends out the reduced, it says the low regularity variant of the internet.
power to the battery and energy storage systems. it will certainly raise the lifetime of the battery.Seyyed Ali Ghorashi Khalil Abadi: In. enhancement to high frequency variation will certainly be sent out to the supercapacitor.
this supercapacitor has a high Seyyed Ali Ghorashi Khalil Abadi:.
power thickness and has a fast vibrant feedback so we can quickly track this.
The voltage and high quality of the line will. Seyyed Ali Ghorashi Khalil Abadi:.
In this method usually there is a centralized managerial controller which.
is responsible for decision producing all the key controllers.
Seyyed Ali Ghorashi Khalil Abadi: But utilizing the. Seyyed Ali Ghorashi Khalil Abadi: And the. Seyyed Ali Ghorashi Khalil.
Abadi: We require to create great deals of operational mode for the primary controllers.
Seyyed Ali Ghorashi Khalil Abadi: And in. centralized architecture, it can be extremely tiresome job for the system designer to do this because. it calls for a really complex logic for the system. Seyyed Ali Ghorashi Khalil Abadi: Additionally, implementation of this facility reasoning.
using a central utilizing a microcontroller.Seyyed Ali Ghorashi Khalil Abadi:. Might not appropriate in return, and might not be suitable in some. actual time application in order to prevent this issue in this report.
We give a dispersed monitoring. Seyyed Ali Ghorashi Khalil Abadi:. Method in in utilizing a multi agent based control strategy. Prior to I. introduce our proposed method.
Seyyed Ali Ghorashi Khalil. Abadi: Please aim to the case studies system. The instances research study.
There is a supercapacitor module
. Seyyed Ali Ghorashi Khalil Abadi: The.
Seyyed Ali Ghorashi Khalil Abadi:. Below you can see the ordered control structure of each agent.
As you can. see, each agent has additionally a data purchase and info handling component.
This. module get information from communication making use of Seyyed Ali Ghorashi Khalil Abadi:.
For communication with other representatives and also from local dimensions, then. process the details and send them to the ordered control system. on top level of this control.
Seyyed Ali Ghorashi Khalil Abadi: At. the leading degree of this hierarchical control system.There ' s a managerial. controller which is in charge of dynamic decision making and establishing the. operation mode of shipment controllers. Seyyed Ali Ghorashi Khalil Abadi: Then. there is a power of cost controller which is accountable to determine the reference. present in order to choose in the goal of the Seyyed Ali Ghorashi Khalil Abadi: Of.
the purpose of the system at at each operational mode, then there is a primary. controller that calculus. The obligation cycle of the power electronic converters in.
order to track the recommendation currents Seyyed Ali Ghorashi Khalil Abadi: Here you can.
see the hierarchical framework of the PV component, you can see the PV component can function in. maximum power factor monitoring or or it can Seyyed Ali Ghorashi Khalil Abadi': Reduce his power.
To comply.
supercapacitor and the collaboration between PV and the supercapacitor and we will certainly see that. it will enhance the integrity of the system. Seyyed Ali Ghorashi Khalil Abadi:.
Here is the ordered framework of the supercapacitor and as.
Variant to the supercapacitor Seyyed Ali Ghorashi Khalil Abadi:. Seyyed Ali Ghorashi Khalil Abadi: In. Seyyed Ali Ghorashi Khalil Abadi: The.
We have time driving characteristics, which are the dynamic of the controller main. controlled and charge controller and also the dynamic of the physical system. Each representative. is a crossbreed dynamic
system. Additionally, Seyyed Ali Ghorashi Khalil Abadi: We have lots. of interdependencies
between the constant and distinct characteristics of the agents. In order to. model all these contouring vibrant behavior of the agents associated with our structure we make use of an input.
outcome crossbreed( unknown words) which is a really Seyyed Ali Ghorashi Khalil Abadi: treatable structure for modeling come. contouring intricate hybrid dynamical systems.Seyyed Ali Ghorashi Khalil Abadi: Here.
is a study system that we replicate this actions. As you can see there is.
a PV component that has 100 kilowatt power capacity. The battery energy storage.
system has actually 100 kilowatt rated power. Seyyed Ali Ghorashi Khalil Abadi: And and. the supercapacitor also have a 7 seconds bill time right here, we define a term which is. called the complete power
or PT As you can see, Seyyed Ali Ghorashi Khalil Abadi: Which is. equal to the sum of all our to power of the components and it need to be always. equal to absolutely no in order to Seyyed Ali Ghorashi Khalil Abadi: In order to.
Seyyed Ali Ghorashi Khalil Abadi: Right here you can.
Seyyed Ali Ghorashi Khalil Abadi: But the
power that is sent to the battery.
During this simulation period Seyyed Ali Ghorashi Khalil Abadi: So the power. Now here we check out and review the efficiency of the system throughout. Seyyed Ali Ghorashi
Khalil Abadi: As you can.
anymore in power balancing and smoothing perform Seyyed Ali Ghorashi Khalil Abadi: The.
Seyyed Ali Ghorashi Khalil Abadi: And. The system can keep Seyyed Ali Ghorashi Khalil Abadi
: BalanceEquilibrium
Seyyed Ali Ghorashi Khalil Abadi: Below likewise. you can see the performance of the teamwork and the advantage of the cooperation. in between battery and the supercapacitor Seyyed Ali Ghorashi Khalil.
Abadi: In this experiment, we make use of a supercapacitor that has. a 100 Watt hour power capacity.
Seyyed Ali Ghorashi Khalil Abadi: And you can.
Seyyed Ali Ghorashi
Khalil Abadi: So the system.
Seyyed Ali Ghorashi Khalil Abadi: Additionally, as you can see in a second.
Abadi: 6 minutes for the supercapacitor ahead back. to the regular operation. Seyyed Ali Ghorashi Khalil Abadi:. It takes 6 minutes for to PV to come back to the optimal power factor. traffic yet using this firm, the battery instantly discharged supercapacitor. due to its core- due to the fact that it has a control on Seyyed Ali Ghorashi Khalil Abadi: On this. supercapacitor so that PV can return to the maximum power factor
web traffic after 30. seconds.So as you can see, we boost the performance of the system and rise by.
minimizing the needed dimension of the supercapacitor Seyyed Ali Ghorashi Khalil Abadi: Currently, to summarize the results of this.
I can tell you that Seyyed Ali Ghorashi Khalil Abadi: We.
Seyyed Ali Ghorashi Khalil Abadi: In.
the performance of the system so we Seyyed Ali Ghorashi Khalil Abadi: Lower. the complexity of the system layout we raise the reliability in addition to. increasing the performance of the system.Seyyed Ali Ghorashi Khalil Abadi:. Thank you significantly for your attention please ask me if you have. any kind of concerns. Brittney Van Der Werff: Yeah, that ' s. We do have a couple of concerns, actually, , so we ' ve. Abadi: permit me to quit sharing.
No, I didn ' t consider this
imbalanceInequality but in our risk danger our recent current research. Seyyed Ali Ghorashi Khalil Abadi: Now for the supercapacitor we can be conservative.
Would certainly there be any type of performance impact on the system if the information. Seyyed Ali Ghorashi Khalil Abadi:.
Excuse me. I couldn ' t comprehend Seyyed Ali Ghorashi Khalil Abadi:.
Could you please repeat your concern. Brittney Van Der Werff: Yeah.
Seyyed Ali Ghorashi Khalil Abadi: Yes however Seyyed Ali Ghorashi Khalil Abadi: You mean, if. I ' m in fact going to do a fast.
If the dub– Seyyed Ali Ghorashi Khalil Abadi: Would there be any kind of.
Seyyed Ali Ghorashi Khalil Abadi:.
Throughout this simulation period Seyyed Ali Ghorashi Khalil Abadi: So the power. The system can keep Seyyed Ali Ghorashi Khalil Abadi
: Balance. Seyyed Ali Ghorashi Khalil Abadi: And you can. Seyyed Ali Ghorashi
Khalil Abadi: So the system.Seyyed Ali Ghorashi Khalil Abadi: I have not.
checked it. Yes, but I think it doesn'' t have any type of pur – I think she doesn'' t have any result. on the control performance of the system since it the mathematical.
formula that that we make use of. Seyyed Ali Ghorashi Khalil Abadi: And vibrant.
equation of the supercapacitor doesn'' t have any Seyyed Ali Ghorashi Khalil Abadi:.
Any, any kind of direct impact of these on on the procedure of the supercapacitor Seyyed Ali Ghorashi Khalil.
Abadi: You know there is there is a question that data interaction.
rate is different in between agents.Seyyed Ali Ghorashi
Khalil Abadi: You. know, we have distinction in the agents, the communication between representatives. The signals that the agents sends out to each various other is associated with. the voltage to the power of their Seyyed Ali Ghorashi Khalil Abadi: If each other. The interaction price of the agents is not really high, however all the representatives I we utilize the. same view the very same interaction for the Seyyed Ali Ghorashi Khalil Abadi:. Top level controllers in the lower level controls of the representatives just caught. can ' t interact with their'connected greater degree factors. and not work together, we did Seyyed Ali Ghorashi Khalil Abadi: For instance,. agents and agents low level controllers.There ' s just a high degree controllers, they.
obtained the data of the other representatives. Seyyed Ali Ghorashi Khalil Abadi: So. they indeed with this perspective, they have the same rate of interaction. Right. However inside the system we have various rate of interaction since it ' s. relevant to the degree of the controllers. Selena Connealy: Fantastic Ali.
Selena Connealy: It looks like you ' ve got. a great deal of actually terrific points going on, and we actually value you offering today, yet additionally adding to the research study work of. the New Mexico SMART GRID FACILITY. Thank you. Seyyed Ali Ghorashi Khalil Abadi: You ' re welcome.
Anju Kunnumpurathu: Hi. Anju Kunnumpurathu: I'am Anju from the. Anju Kunnumpurathu: And I ' m working in.
communication network by classifying the website traffic based on top priority implementing. multiple transmission lines up and utilizing token container for web traffic control. Anju Kunnumpurathu: So originally. we take a look at what is NDN? NDN is Anju Kunnumpurathu: An interaction style. Anju Kunnumpurathu: And NDN. represent named information networking Anju Kunnumpurathu: Currently we are. making use of IP as our communication style in which we utilize resource and destination address for. the communication. called the data networking as an option for currently made use of IP style. and proposed future net design. Anju Kunnumpurathu: The standard fundamental block of. this named data networking style is a node and we can configure each node.
right into customer router and producer. Anju Kunnumpurathu: As you can see in. this figure.
This is the really straightforward interaction geography of NDN architecture. consumer or subscriber is the individual who is asking for the data and producer. is the person who is providing the data.Anju Kunnumpurathu: The information. request is understood as interest and the manufacturer will certainly react back with
the. the data requested the intermediate router is liable for the data or interest.
package forwarding as the name resembles NDN Anju Kunnumpurathu: manages the communication. in between entities using the name of the package in IP, we know it is based on IP address. below, we make use of the name of the packet Anju Kunnumpurathu: And there will certainly be a NACK. packet which is unfavorable recognition sent to the customer in instance the router could. not ahead the passion to the producer. Anju Kunnumpurathu: And After That we.
can utilize the namespace. According to application need and it. will be ordered guideline, we will certainly discuss concerning it in coming slides. for the simulation objective NDN provides It seems simulator which is recognized as NDN sim. and it is based on market network mimic Anju Kunnumpurathu: First. we will see what is a node.Anju Kunnumpurathu: A node of.
NDN system consists of a number of modules fastest material store,. which is a money, which sustains
the Anju Kunnumpurathu: Supports the information usability in Anju Kunnumpurathu: Edge directing.
Anju Kunnumpurathu: Next is pending. It provides Anju Kunnumpurathu:( unknown words ). Anju Kunnumpurathu: The interest will.
asked for by a person else before and it ' s already cashed in the material store
. if it matches the data will be maintained and Anju Kunnumpurathu: Interaction overhead is. reduced there.If there is no matching entry for this particular passion that interest package. will be sent to pending passion table, we will certainly have a passion table with the passion. name incoming interface and outgoing user interface. Anju Kunnumpurathu: Sending out time Anju Kunnumpurathu: So we if we will examine whether. there is a matching entry in the huge table. Anju Kunnumpurathu: If there is a
matching entry.
that implies another person currently requested for the same interest and waiting for the data.Anju Kunnumpurathu: So we put on ' t need to request. it. Once again, we simply add the inbound interface information in this table and we will certainly wait for. information to find back. If there is no matching access Anju Kunnumpurathu: After that based on the FIB table. information which is the routing details and the forwarding strategy,. which is the routing procedure based upon these two elements. We will. be forwarding it to the manufacturer.
Anju Kunnumpurathu: Next is. exactly how information is sent from producer to the consumer. When we get. the information in a nod. We will be examining Anju Kunnumpurathu: The matching entrance in the FIB. Due to the fact that here we don ' t have any IP address, table. We have to send it by to the same interface. which asked for that certain data. Anju Kunnumpurathu: Those details. will certainly be kept in this table, and if there is a coordinating access, the data will. be multicast to the to all the interfaces, we must requested for this certain data.Anju Kunnumpurathu: And afterwards, the.
information will certainly be moneyed in the content store and claim we will certainly be eliminating in some cases.
RT is, the round journey time and if there is a timeout
.
Anju Kunnumpurathu: This is just how the NDN. design jobs. We will certainly see an example. Below is one customer and the he.
requirement and he need a video from CNN.
Anju Kunnumpurathu: So he will generate. a rate of interest with name CNN reduce video clip and it is linked to router D and Anju Kunnumpurathu: the FIB table which. is forwarding info based and in this FIB table which will certainly have entry. for that specific producer and the path to it in this manner, be in ascending order. of priority. So first we will pick for A Anju Kunnumpurathu: So if the. interest is forwarded to An interface. That suggests it can reach to the. data.If A user interface is not functioning.
It will look for B. And if A and B are not. Anju Kunnumpurathu: So this is the.
is the relevance of NDN in Smart Grid. smart grid suggests power system.
with interaction. Below Anju Kunnumpurathu: We have this NDN. layout which uses IEEE 39 bus system and interaction network is embossed on top of it.Anju Kunnumpurathu: So you can see numerous. entities here PMUs, PCs and large location controllers. This shows just how to communicate each various other. And for that, however first we are using this Anju Kunnumpurathu: Communication geography and. this blue web links and this blue box represents the communication network. This blue. are up the routers. And below you can see Anju Kunnumpurathu: In in a passion. name. This is an example name, we can make use of whatever name we desire. based on the application requirements.
Anju Kunnumpurathu: And below we utilize IEEE. 39 And below is one for top priority course based on this info, it can be high, reduced, or Anju Kunnumpurathu: Medium based
on. that info we are categorizing the package into three different priorities, VDC dimension repayment. This is just an. example, we can have whatever we want. Anju Kunnumpurathu: So the presently
existing. IP utilizes IP address and it has its very own downsides. It does refrain well in tool.
heterogeneity protocols. Anju Kunnumpurathu: And requirements interoperability obligation
QoS requirements and. safety in this specific study, we are concentrating on the top quality of. service needs of the application.Anju Kunnumpurathu: In our recommended. style we are presenting a new technique, which is QoS approach and it is stemmed from. the existing default multicast approach. Anju Kunnumpurathu: In this design, we are categorizing the package into. three various concerns, reduced, high, and tool, the security messages which ask for reduced latency. and high dependability is called as Type one traffic control messages which requires high integrity. requirements called as kind 2 web traffic and Anju Kunnumpurathu: Others are labelled as best shot traffic or. kind three web traffic and we will certainly have multiple queue and each line is based procedure based on. waited for queuing
, and there is a token bucket.Anju Kunnumpurathu: In each node of.
the network, we will have this system.
We will certainly obtain a package with.
We. will certainly identify it right into high, tool, and reduced Anju Kunnumpurathu: And this lines up will be.
We have included.
ICASS is the is our previous work which concentrate. on the several readily available paths and Anju Kunnumpurathu: iCAP this our existing proposal. system, which makes use of several lines up and token bracket standard NDN is the original NDN structure. which does not support high quality of solution. Anju Kunnumpurathu: In our simulation we made use of Anju Kunnumpurathu: We set up the network.
into 27 routers 10 wide area controllers 12 PMUs and two POCs and we can produce this we.
can set up the resource nodes and producers based on our requirement and we can.
established package and generation rate. Anju Kunnumpurathu: in a different way for. different types of packets. Like, as you can see here, type one
, kind 2 and. kind three tough packet generation radius. Anju Kunnumpurathu: 90, 150. and 300 packages per secondly.
We can set up token. generation price also in different ways token bucket ability we keep.
thousand symbols for all the web traffic flows.Anju Kunnumpurathu: If we see the graph. Anju Kunnumpurathu:
Our recommended. style over executed Anju Kunnumpurathu: All the Anju Kunnumpurathu: Various other approaches. like primarily NDN and iCARS. Anju Kunnumpurathu: In the case of loss rate.
Anju Kunnumpurathu: Type, type one and kind. two outmatched yet when it comes to type 3 baseline NDN is doing better. The reason for this.
is for type one and type two website traffic standard NDN users special cast and iCASS utilizes multicast.
that indicates network blockage will certainly be more Anju Kunnumpurathu: iCASS and.
iCAR both individuals multicast and we will certainly be we are doing much better than iCASS.
there we enable the quality of services.Anju Kunnumpurathu: This is. the contrast in between IP and NDN so this is this is this, we did as part. of the, iCARsim, which does not sustain the Anju Kunnumpurathu: High quality of service.
if we see the packet loss comparison. Anju Kunnumpurathu: We established.
up the network to examine for 0 percent network congestion 20% network. blockage and 50 %network blockage. Anju Kunnumpurathu: We can see.
that for NDN. We put on ' t have any kind of Anju Kunnumpurathu: Packet loss. Anju Kunnumpurathu: And next is.
This is 0 percent network congestion. This is 20. Anju Kunnumpurathu: Relating to the latency,.
Anju Kunnumpurathu: Then following is TCP and last. Anju Kunnumpurathu: NDN is completing hundred percentage of the package shipment UDP. 123 based system 650 based system and Anju Kunnumpurathu: We could.
that ' s concerning all. Thank you Brittney Van Der Werff: That is remarkable.
Brittney Van Der Werff: That ' s absolutely fascinating since it simply.
demonstrate how far we ' ve come Brittney Van Der Werff: Regarding I. networking design architecture goes Brittney Van Der Werff:
I. had a question been available in that Brittney Van Der Werff: Is a little general. I ' m wishing to be able to address it.Brittney Van Der Werff: How long do you. assume it will certainly take for NDN design to Brittney Van Der Werff: Change IP design. Brittney Van Der Werff: You see that happening in. the next few years.
Do you assume it will occur? Anju Kunnumpurathu: , NDN is sort of Anju Kunnumpurathu: Developing phase. We can not Anju Kunnumpurathu: We might have to execute.
Brittney Van Der Werff: Impressive Brittney Van Der Werff: We are just Brittney Van Der Werff: Nearly.
Thanks for your inquiry. And I will transform it back to Selena Selena Connealy: Thanks Brittney Selena Connealy: And'thank you so. much Anju. We actually value your discussion today and it ' s exciting to see.
That you ' re finding results in the simulation.Selena Connealy: System and. expecting seeing things. Selena Connealy: where things go following with. artificial intelligence and perhaps using a few of the
test beds that the SMART GRID facility sustains.
Selena Connealy: So one of the things.
applause to thank our, our presenters today and Selena Connealy: It ' s amazing to see such a Selena Connealy: Great research study. from our young Researchers Selena Connealy: I ' m going to. share my screen actual Quick here.Selena Connealy: And just do a fast. tip that tomorrow will be the award ceremony associated
to this brand-new mexico research study. seminar. And so you ' re welcome to join us at Selena Connealy: Three. all of our events. Are hosted up out of our internet site and we will certainly publish this recording there. You can. anticipate to see it'sometime prior to the end of next week. So if you have any person that you ' d.
like to share this with it will certainly be available. Selena Connealy: At the EPSCoR internet site, after that. With that, I believe I ' d like to call an end to our clever grid workshop many thanks to our speakers. Many thanks to all of you for joining us today and we wish you have a good mid-day. Stay risk-free, everybody. Bye bye.
Anju Kunnumpurathu: Hi. NDN is Anju Kunnumpurathu: An interaction style. And it is based on sector network simulate Anju Kunnumpurathu:. Anju Kunnumpurathu: And there is a FIB,
which is. Anju Kunnumpurathu: The passion will.