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Article: Stochastic control for smart grid users with flexible demand

TitleStochastic control for smart grid users with flexible demand
Authors
KeywordsSmart grid
Q-learning
Energy management
Demand response
Dynamic programming
Issue Date2013
Citation
IEEE Transactions on Smart Grid, 2013, v. 4, n. 4, p. 2296-2308 How to Cite?
AbstractIn this paper, we study the optimal control problem for the demand-side of the smart grid under time-varying prices with general structures. We assume that users are equipped with smart appliances that allow delay in satisfying demands, and one central controller that makes energy usage decisions on when and how to satisfy the scheduled demands. We formulate a dynamic programming model for the control problem. The model deals with stochastic demand arrivals and schedules the demands based on their own allowable delays, which are specified by users. However, the dynamic programming model encounters the "curses of dimensionality" and some other difficulties, thus is hard to solve. We develop a decentralization-based heuristic first, and also propose an approximation approach based on Q-learning. Finally, we conduct numerical studies on a testing problem. The simulation results show that both the Q-learning and the decentralization based heuristic approaches work well, but they have their own advantages and disadvantages under different scenarios. Lastly, we conclude the paper with some discussions on future extension directions. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/296087
ISSN
2023 Impact Factor: 8.6
2023 SCImago Journal Rankings: 4.863
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiang, Yong-
dc.contributor.authorHe, Long-
dc.contributor.authorCao, Xinyu-
dc.contributor.authorShen, Zuo Jun-
dc.date.accessioned2021-02-11T04:52:48Z-
dc.date.available2021-02-11T04:52:48Z-
dc.date.issued2013-
dc.identifier.citationIEEE Transactions on Smart Grid, 2013, v. 4, n. 4, p. 2296-2308-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/296087-
dc.description.abstractIn this paper, we study the optimal control problem for the demand-side of the smart grid under time-varying prices with general structures. We assume that users are equipped with smart appliances that allow delay in satisfying demands, and one central controller that makes energy usage decisions on when and how to satisfy the scheduled demands. We formulate a dynamic programming model for the control problem. The model deals with stochastic demand arrivals and schedules the demands based on their own allowable delays, which are specified by users. However, the dynamic programming model encounters the "curses of dimensionality" and some other difficulties, thus is hard to solve. We develop a decentralization-based heuristic first, and also propose an approximation approach based on Q-learning. Finally, we conduct numerical studies on a testing problem. The simulation results show that both the Q-learning and the decentralization based heuristic approaches work well, but they have their own advantages and disadvantages under different scenarios. Lastly, we conclude the paper with some discussions on future extension directions. © 2013 IEEE.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.subjectSmart grid-
dc.subjectQ-learning-
dc.subjectEnergy management-
dc.subjectDemand response-
dc.subjectDynamic programming-
dc.titleStochastic control for smart grid users with flexible demand-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSG.2013.2263201-
dc.identifier.scopuseid_2-s2.0-84890348084-
dc.identifier.volume4-
dc.identifier.issue4-
dc.identifier.spage2296-
dc.identifier.epage2308-
dc.identifier.isiWOS:000328064100058-
dc.identifier.issnl1949-3053-

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