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

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dc.contributor.authorWei, Wenting
dc.contributor.authorWang, Dan
dc.contributor.authorJia, Hongjie
dc.contributor.authorWang, Chengshan
dc.contributor.authorZhan, Yongmin
dc.contributor.authorFan, Menghua
dc.date.accessioned2018-07-05T18:24:12Z
dc.date.available2018-07-05T18:24:12Z
dc.date.copyright2017en_US
dc.date.issued2017-01
dc.description.abstractThermostatically 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.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipThis 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.identifier.citationWei, 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.urihttps://doi.org/10.1007/s40565-016-0255-y
dc.identifier.urihttp://hdl.handle.net/1828/9604
dc.language.isoenen_US
dc.publisherJournal of Modern Power Systems and Clean Energyen_US
dc.subjectdemand response
dc.subjecthierarchical and distributed control
dc.subjectresources maximum utilization
dc.subjectmodel prediction
dc.subjectcustomers' responsive behavior
dc.subject.departmentDepartment of Electrical and Computer Engineering
dc.titleHierarchical and distributed demand response control strategy for thermostatically controlled appliances in smart griden_US
dc.typeArticleen_US

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