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Hierarchical and distributed demand response control strategy for thermostatically controlled appliances in smart grid

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dc.contributor.author Wei, Wenting
dc.contributor.author Wang, Dan
dc.contributor.author Jia, Hongjie
dc.contributor.author Wang, Chengshan
dc.contributor.author Zhan, Yongmin
dc.contributor.author Fan, Menghua
dc.date.accessioned 2018-07-05T18:24:12Z
dc.date.available 2018-07-05T18:24:12Z
dc.date.copyright 2017 en_US
dc.date.issued 2017-01
dc.identifier.citation Wei, W.; Wang, D.; Jia, H.; Wang, C.; Zhan, Y.; & Fan, M. (2017). Hierarchical and distributed demand response control strategy for thermostatically controlled appliances in smart grid. Journal of Modern Power Systems and Clean Energy, 5(1), 30-42. en_US
dc.identifier.uri https://doi.org/10.1007/s40565-016-0255-y
dc.identifier.uri https://dspace.library.uvic.ca//handle/1828/9604
dc.description.abstract Thermostatically controlled appliances (TCAs) have great thermal storage capability and are therefore excellent demand response (DR) resources to solve the problem of power fluctuation caused by renewable energy. Traditional centralized management is affected by communication quality severely and thus usually has poor realtime control performance. To tackle this problem, a hierarchical and distributed control strategy for TCAs is established. In the proposed control strategy, target assignment has the feature of self-regulating, owing to the designed target assignment and compensating algorithm which can utilize DR resources maximally in the controlled regions and get better control effects. Besides, the model prediction strategy and customers' responsive behavior model are integrated into the original optimal temperature regulation (OTR-O), and OTR-O will be evolved into improved optimal temperature regulation. A series of case studies have been given to demonstrate the control effectiveness of the proposed control strategy. en_US
dc.description.sponsorship This work was supported by National High Technology Research and Development Program of China (863 Program) (No. 2015AA050403), National Natural Science Foundation of China (Nos. 51377117, 51407125, 51361135704), China-UK NSFC/EPSRC EV Grant (Nos. 5136113015, EP/L001039/1), "131'' Talent and Innovative Team of Tianjin City, State Grid Corporation of China (No. KJ16-1-42), Innovation Leading Talent Project of Qingdao, Shandong Province (No. 15-10-3-15-(43)-zch), and Innovation and Entrepreneurship Development Funds Projects of Qingdao Blue Valley Core Area (No. 201503004). The authors also would like to thank Prof. Ned Djilali, Mr. Simon Parkinson and Mr. David P. Chassin for their helpful comments and insights. en_US
dc.language.iso en en_US
dc.publisher Journal of Modern Power Systems and Clean Energy en_US
dc.subject demand response en_US
dc.subject hierarchical and distributed control en_US
dc.subject resources maximum utilization en_US
dc.subject model prediction en_US
dc.subject customers' responsive behavior en_US
dc.title Hierarchical and distributed demand response control strategy for thermostatically controlled appliances in smart grid en_US
dc.type Article en_US
dc.description.scholarlevel Faculty en_US
dc.description.reviewstatus Reviewed en_US


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