Research On Optimal Real-time Energy Allocation And Scheduling By Demand Side Under Limitedg Information In Smart Grid

As the deployment of information technology in power grids, traditional powergrids are becoming more and more intelligent, meanwhile the stability and efcien-cy of power grid is also improving. Many relevant research achievements spring upnowadays. This paper was under smart grid background and proposed two solutions indiferent scenarios in demand side power management including distributed demandresponse algorithm and optimal PHEV charging strategy. Both of these solutions con-sideredtheexistinglimitedcommunicationfacilitiesinpowergridandaimedatmakingfull use of limited communication to achieve optimal power scheduling and energy al-location. And this paper analysed the efects of communication limits on demand sidepower management.Firstly, this paper proposed an event-triggered distributed algorithm of demandresponseanddefnedeventsonbothdemandsideandproviderside. Themessagepass-ing happens and only happens when these two events are triggered, which reduce thecommunicationwhile loadshedding worksin demand response whileguaranteeingthemaximum of social utility. Additionally, this paper proposed a real-time electric pric-ing strategy which is proved practical and reasonable and also proposed a charging ordischarging strategy of energy storage like batteries. Comparing with other distributedalgorithms used in demand response, the proposed algorithm has a lower complex-ity and communication demand and power sector could confgure the parameters totradeof between convergency rate and convergency accuracy.Secondly, consider the challenge brought by PHEVs plugged in power grid andthis paper examined the issue of charging strategy of PHEV, a special energy stor- age device, in traditional power grid. The proposed strategy based on contract designmaximize the economy proft of power sector by selling electric to PHEV users whileguaranteeing the non-negative utilities of users and meeting the PHEV users electricdemand as much as possible. Two scenarios of diferent communication demand werediscussed in this paper, i.e. full information scenario and statistical information sce-nario. In the former scenario, power sector could get more information of PHEV usersand might get statistical information in the latter scenario. This paper also comparedthe performances in both scenarios and proved the efciency and low communicationdemand of the proposed strategy via simulations.