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Conference Paper: Demand Response-Based Preventive-Corrective Control against Short-Term Voltage Instability in Power Systems

TitleDemand Response-Based Preventive-Corrective Control against Short-Term Voltage Instability in Power Systems
Authors
KeywordsDemand response
Preventive-corrective control
Short-term voltage stability
Issue Date2017
PublisherIEEE.
Citation
2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), Auckland, New Zealand, 4-7 December 2017 How to Cite?
AbstractShort-term voltage stability increasingly concerns research community and poses significant threat to power system under current energy grid transformation. Preventive and corrective controls are two lines of defense against voltage collapse. As well, demand response as an effective smart grid mechanism is not fully applied in existing literature to accommodate demand-side disruption minimization during load shedding period. This paper proposes a demand-response based preventive-corrective load shedding control to counteract short- term voltage instability. An improved short-term voltage stability index is formulated to quantify system stability metrics. For demand response integration, a novel user-disruption index is developed to calculate the probabilistic corrective control cost which is coordinated with the preventive cost. Multi-objective evolution algorithm is utilized to compute Pareto Front solution to exploit the tradeoff balance between system economic cost and transient voltage stability level. The simulation results verify the effectiveness and superiority of proposed control scheme.
Persistent Identifierhttp://hdl.handle.net/10722/263539

 

DC FieldValueLanguage
dc.contributor.authorKang, R-
dc.contributor.authorXu, Y-
dc.contributor.authorDong, ZY-
dc.contributor.authorHill, DJ-
dc.date.accessioned2018-10-22T07:40:35Z-
dc.date.available2018-10-22T07:40:35Z-
dc.date.issued2017-
dc.identifier.citation2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), Auckland, New Zealand, 4-7 December 2017-
dc.identifier.urihttp://hdl.handle.net/10722/263539-
dc.description.abstractShort-term voltage stability increasingly concerns research community and poses significant threat to power system under current energy grid transformation. Preventive and corrective controls are two lines of defense against voltage collapse. As well, demand response as an effective smart grid mechanism is not fully applied in existing literature to accommodate demand-side disruption minimization during load shedding period. This paper proposes a demand-response based preventive-corrective load shedding control to counteract short- term voltage instability. An improved short-term voltage stability index is formulated to quantify system stability metrics. For demand response integration, a novel user-disruption index is developed to calculate the probabilistic corrective control cost which is coordinated with the preventive cost. Multi-objective evolution algorithm is utilized to compute Pareto Front solution to exploit the tradeoff balance between system economic cost and transient voltage stability level. The simulation results verify the effectiveness and superiority of proposed control scheme.-
dc.languageeng-
dc.publisherIEEE.-
dc.relation.ispartofIEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia)-
dc.rightsIEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia). Copyright © IEEE.-
dc.rights©2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectDemand response-
dc.subjectPreventive-corrective control-
dc.subjectShort-term voltage stability-
dc.titleDemand Response-Based Preventive-Corrective Control against Short-Term Voltage Instability in Power Systems-
dc.typeConference_Paper-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.identifier.doi10.1109/ISGT-Asia.2017.8378377-
dc.identifier.scopuseid_2-s2.0-85050003106-
dc.identifier.hkuros293683-
dc.publisher.placeUnited States-

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