to men from is that there and also uh rubber the bob thomas of course not um so i'm going to talk about the let to got be he goes so these um actually is a work that we are the general rising to out those types of remotes so state you ones for future development of these work um so a goal and there could be a little bit about the the this patch um and and uh a traditional additional load forecasting and uh also the approach is are put forward for row controlling loads and and then i we discuss what what proposed as an architecture two manage the scheduling a uh i think a lot of the speakers before or a the fabled what of into using the problem or closing the loop to the consumer are making uh the consumer are uh a smart to um i would have to make a a a brief analogy suppose you have a store where you only sell one product and the any customer the calm thing the store has a different request but no matter um no matter what price you fix the customer we by whatever of was the preset the amount uh and we get out of the store so or the C D's is this would be a fantastic market to operate any store um if you could just slide the price be what you wanted uh because the customer always by is the same amount of wanted uh we do any is smart decision about the price so changing um the cease them uh i think these right now means that you actually will allow this some or to change the demand once this store poles it decoder surprise a in this will make these market all but it normally otherwise we will be stock with the enormous amount of regulations uh and the continue to to just not all but it these efficiently in as a mark as the a market so uh um now a that you be a goes uh uh uh of friends them for was um they friends because have no emissions they don't defined a noise so we gonna let to L at T C you can be produced by a we're from any many sources a how and and but they are a high voltage levels there the bow out of a are um plasma muddy bees uh a you much isn't turning go putting your to battery to charge would would be a but apps equivalent to to to to that amount i energy requirements so um and just need a big problem in in people are afraid or a or for what can happen in fact it was even suggested then in california you to get a spectral permission mission an at three got car um a because the you D D was really afraid of having to to eventually you deal with black kind of what's and other the problem um so i in jan and that all um we why these the problem because that has nothing but control along the load right so the or or or the the this patch has to match demand and supply in have time one of the big problems in uh uh in uh the like this is that the is all storage right so that has to happen you a time um the just to make an example you you could store energy if you had to be good a or or a a a and that take upon to right you could pump what the up instead of down and in general in terms of scale it's it's really complicated to store energy efficient to D so it's it's a it's a as it's that well was done a either a loss uh so the the prediction on the the the the pretty job see something that can excite the fantasy you of signal was people body it turns out that a lot of the techniques that we developed in the eighties uh either broadly applied to this problem a lot of statisticians stations also work on this problem so use a very much you field and uh a as long as the load continues to to to to go to a in in a way that i where handle by these models um yeah things don on you need uh a new significant to research um and so i and that it time can but we have used ten percent accuracy the prediction of below the D is fed to the um the to to to these uh up to make optimal dispatch of energy and and think scroll uh from there so that is the load these audience not uh this is sadly um so i mean yeah with these at the mean allergies or the learnt yeah is the power with the D's there are an essential essentially by any um um any um apply that you plan can by the like that to there are known and by your head condition and so on um and and the E these mathematically effectively a signal is a complex signal is that i'm bill up uh or of uh a um if it is or the represents the product between the touch and the current conjugate to gate uh a at a particular or a line and the again these are complex because that a is them but up the complex envelope up of a signal which ease a around the the the operating frequency fifty hz for be you rope sixty hz for being nine states um is not just uh the generated obviously uh by you single system in terms one we we look at bus C sorting are look that the uh uh a a a bath systems so were shown before the that these select a to read is where uh a sample of the transmission systems and the every line in that system obviously bundles up a a a lot of requests the come from the distribution that a clear that live to your um um so that that that to die or or of a a request uh that for this low uh one have generated by you think a would describe as of dom at as like electrical vehicles of these right so they on with the search and uh the state for they back to T and they want to feel it up uh a up to a certain amount and in a lot of the discussion the is done right now the the the question is whether you would actually to a a new provide energy uh in in in chunks but actually that's very bad for the bout in fact you should actually continues it um and so uh in the model that we adopt we assume that these uh electrical be close have not be have to ball once they are on on they we say you on in charge for the entire duration and i say that the same applies to that appliance is like your dishwasher your order washing machine and someone and that not going but is that the data are more storage systems oh as team said to if you did date or see there's that conditioners they we have in a measure state the temperature sure they want to read it to a them point and they will uh uh C adjust just their request based on what they money to use the state of the uh of the system so i'm not going to this anything that is a element uh to though um but i think that for example the the methods that's from was a mentioning of pricing that could be easily applied to those um so a a is mad at me dating has made the low but but is not steal clear to how to make it can above uh a mean initially was saying that he's going to have by january some uh where you uh uh of uh closing that have but that are a lot of a you should we send the price uh to each individual device should we send the price to where her energy management system a lot of proposals this is one of them and that that he's one is based on the fact that if i want to have them in sections i space if i well i what i want uh and actual specified to because these has to be automated to a computer so how do i specify what mike our once to a compute system that can automatically uh schedule it um and schedule it's to optimize the shape of these low okay so i'm assuming but these can be directly controlled because uh the load we the many quests and the digitising these request is what these the talk he's about and that i can uh delay uh they the time at which these request is mac um so um that a be two approaches i'm i'm gonna be very brief on these uh one is deemed be man side matt but the much money money will this small when is price based and one is lack control uh and again i i i T meg and he said that you may have pricing uh a five minutes before and then after a uh um after a why you wouldn't want to just to pricing uh you need to some form of control um and the i i very much uh it agree that uh a right i think may cause problem so the time but i think that a cat in you are can see that is one it's that the additional one is time of use depending on the time of day to to be like set phone systems you are charge a different eight um and the the didn't have time i think he's the new um is the new wave for a a uh where are the despite is that actually a uh are computed based on the spot market of energy which already exists and the consumer is made aware of that uh and some how some automated system takes advantage of that the lower controlling is another strategy uses skyline to S be and you walk so for some incentive steve out to have your load into adapted all my conditioning condition we being in not that on an optimal i'm by the uh uh T D um and i get some benefit out of these might cost is be used or negative even directly money based on how many times the use my sir so these are it would these call than see that said be say could be part or of O over these the cease them that uh can but lies to optimize the the neck um so that problem so obviously we'd plan seeing they rebound P problem that was mentioned by solely needs set be a problem of a a a have to imply i think in need use a dynamic that system so there was a question before and stuff but so there is a question whether these would cause oscillations which writing the worst um and uh you can obviously understand that the the time of use uh maybe be actually a a a a problem a D uh approach because he's site up much had of time and i think shown you uh explained that but was on not gonna spend more time and these um the problem a lot "'cause" statement to with this sort of having a a a a a control uh made by they they the control station is it is very hard to understand how much you inconvenience this to the the the consumer so um it's it's hard to predict with a few what with sky beans were arms uh or how you are going to make the control so that you don't in i actually people this a skype select we have enough people it's a so that is have the questions i thing is that takes that into account because you can set up your system and respond to be uh uh while a lot of time at is on top down and so you may be very unhappy happy what the ut so i think it is a good so motion because by specifying X C you what you want that this time uh then you can you both pricing and safety uh you me decide how to shape uh the load uh uh and and they you didn't know that that "'em" that is trying to a marriage here as so how how do you do you make energy to fact it so that every time the to one sending thing there is a section that goes on um so the idea is that you have actually to specify what you want so a obviously not a words are are uh a like a tickle be can so we assume that is that the additional load that you can pretty used we ten percent of accuracy and that so an imposed to these this is a lead to be got a he call wrote uh and the key idea is S one bond but it so to say that each or a that this process the cost it use the there's is matt you be load is not something that the axe price but he thing that are informed about uh so that is an that i'll a process uh which should we assume it's a possible process uh T I a a are uh they are rivals or these that that they got be equals associated to to each other i well uh uh is a a a a a charge model you want to be charged for for the system on C yeah up i and so uh the the good of we that we have is that we can actually change these time mean to a a a a a a time yeah i D E which is greater than T I i uh so that the shape oh these is mapped to load just is that's close as possible to what helps a a a um paying less for the consumer inconvenience sing i'm the least scroll C board and be sensitive to price so uh obviously that i'll a process uh uh um is uh it is uh is the simple step staircase profile i and V is the uh the team on the process so we are discussing how to perform these mapping okay so so that we were want to communicate is the time about i arrival and the charge and and then and then that uh it's very easy to understand that you would have to one ties but also i them uh but i in to think part is it one time i is the amount of charge for example you use for beats to quantise and you have sixteen classes what you basically do least turn this P the control problem is actually unit net for a problem because this classification so these saying that each charge should be lost with this screwed side essentially once every one of these requests in a Q so what you are doing is effectively storing D on tell of sorting energy you're using that uh to work around the problem that you can not store energy and at this point you can sort of the lack of hmmm but was that are like that the certain time you just as of this that and number of a drive so but a certain uh a time you need and the schedule or should makes a certain amount of these two D pot i assistant time and the i if you uh the like the the the difference between the top of departure at time K T and in time came as T for is so the amount that should be part in these in about then you can be shape the load uh essentially one bad being the shape we uh with electron you parts that has exactly the same duration which ease the load profile i or of the radical be he called um this is actually to think point you can actually to stack up uh and i mean this Q and is is that's used for for an only meeting because i i have to a a uh are essentially a a back the information all should start yeah is to find the that he's uh that they are the process match the optimum uh departure sure of process uh uh test and time and you just send back this time stamp that says if you want ride at this time please go ahead and switch K so these is the feedback mac um i so at this point these um it is just essentially where we are thinking is that the we got the eagles we'll interact some soft after it could be in your i for or or or are there's not P D A or we could be in your house to could be just some soft in computer which we are but it does and home energy management system and we've commuting at is like at the seizure and to two uh uh uh a place that could be situated weighted a at the level of each that's form or or or perhaps even better that at the substation level so the substation level would be in he's the beep what is the expected profile five i or or brought consumption for that they and and you also some network management to that could be a question is stick play scene renewable energy especially specially if these is available in your uh uh uh at area and uh essentially what they don't the decision on would consist on is deciding what is the optimal a departure rate so that the shape all of these process matches that's as much as possible the energy that you have available so i'm just gonna clue very quickly with sample mean and is at some no gonna show that the that the the actual of these optimize but um the these um but is going to be more soon i'm i just a to the paper on uh we money motion to the battery column with these uh uh uh formulation of these optimization so i imagine that the the the profile or or power available is these beam a profile D is the combination of all uh you're a a a a that i had bead for the consumption or potentially leading you know where and nine as the the the the the additional load that has to be mad that is present in the network um and a uh suppose in is you are controlled electrical be equal loads you can actually just you deal i is a a the the the the the scheme that they just proposed in select optimally these the patch time over a finite or as a windows to bad to a in the getting line so these would be the schedule old so as you can see you see what you expect to you see that these provide a do not just as much as possible um the blue line how are and and the parents it is not a great you you have to imagine a these were work better in C state um however at the important a point is that it is also paying a for the delaying the consumers uh uh and then further it is not necessarily matching these exactly uh it doesn't have also the degrees of freedom necessary to to these exactly but a a a a a a mouse so it tries to also meet them uh uh either a certain time that is not excessively high so here we have a it peaks of eight plus a have a process three you a part time you need uh and we have a new look ahead or eyes on all five time you neat uh it could be mean it's or five me periods um and and uh uh we we find that you the the um the delay is no more than fifty you in this particular example so you would be delayed about the a and now way and the the is the main that uh these is that you can essentially being to these to a fifty percent reduction of deviation uh from the leading up profile uh and the the modulation is that you are not trying to sort of uh let the dynamic that system find a query be "'em" are actually engineering the optimal shape so this is the mixture of control pricing you're a word of pricing but you are not giving a single price to every age a you what actually doing very different actions for the different an agent to to read these profile and these includes my doc was keep these so uh in conclusion an efficient market need to have some way of sailing on good opportunities need to be aware of pricing um but these these uh a a a a market that has a lot of safety constraints and therefore uh some optimization framework is necessary a i think that more than a simple feedback control uh there is a simple feedback control system that quote control the load i think in the low needs to be a bundled them put all see billy uh that we as the service so network took rose and Q thing can place uh you know a a through we in uh in uh in the storage technology um and so the basic principle of to do so at used one bundle indeed you dies the loads so that to one can exactly express what everybody um what i do you once um and i think that is a lot of space and signal processing to eight to that process okay thank you yeah and i want to uh in my job might but at P that these much so the use a much i want to charge so so in his model but we model the delay a uh we've ease uh um any inconvenience cost right so we are of trying to minimize that to in our objective function um um and you can imagine that you could put it as a hard constraint um uh we have and that it with i think constraint because we wanted to see uh just by playing with a different weights they we gave to every cost could be predictably have it is a novel amount of course now dealing with D V D a constraint on the in of course all might also ease complicated to these model because it would be much better in terms of also source but to lose the a C fig uh a on the consumer to just scale you the number better that we go at this time okay so i think more practical in these environment also force got be D D would be just trying to play with the parameters and the cost so that you in fact give something which is this T which is a little bit the net model i mean they they don't all when i want to have the five like they just the i to put enough D that i one be to uh this i i and i think that's a more reasonable more than okay thank you think i mean