Mohammad R. Vedady Moghadam, Rui Zhang, Richard T. B. Ma
{"title":"Randomized response electric vehicles for distributed frequency control in smart grid","authors":"Mohammad R. Vedady Moghadam, Rui Zhang, Richard T. B. Ma","doi":"10.1109/SMARTGRIDCOMM.2013.6687947","DOIUrl":null,"url":null,"abstract":"Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grids is thus a promising alternative to reduce the power system dependency on expensive controllers. In particular, demand response of distributed electric vehicles (EVs) via controlled charging/discharging power from/to the grid can be an effective method to help stabilize the system frequency. In this paper, we propose a new distributed frequency control algorithm for EVs with randomized responses and characterize its performance in a large-scale dynamic power system in terms of the mean of the system frequency over time, the mean frequency recovery time, and the expected number of responded EVs upon a contingency. Finally, we validate our analysis via simulations under a practical power system setup.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMARTGRIDCOMM.2013.6687947","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grids is thus a promising alternative to reduce the power system dependency on expensive controllers. In particular, demand response of distributed electric vehicles (EVs) via controlled charging/discharging power from/to the grid can be an effective method to help stabilize the system frequency. In this paper, we propose a new distributed frequency control algorithm for EVs with randomized responses and characterize its performance in a large-scale dynamic power system in terms of the mean of the system frequency over time, the mean frequency recovery time, and the expected number of responded EVs upon a contingency. Finally, we validate our analysis via simulations under a practical power system setup.