File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Preventive-corrective demand response to improve short-term voltage stability and transient stability in power systems

TitlePreventive-corrective demand response to improve short-term voltage stability and transient stability in power systems
Authors
KeywordsLoad recovery
Multi-objective optimization
Short-term voltage stability
Transient stability
Issue Date2018
PublisherPower Systems Computation Conference.
Citation
Proceedings of 2018 Power Systems Computation Conference (PSCC 2018), Dublin, Ireland, 11-15 June 2018, p. 869-875 How to Cite?
AbstractThis paper proposes a novel approach aiming to counteract short term voltage fluctuations and transient instability by employing centralized emergency demand response. The objectives in this optimization model include a proposed short-term voltage stability index, inversed transient stability margin and system operation cost. Combined demand response actions of load shedding and load recovery are applied during the corrective period. To reduce computational complexity, load shedding bus candidates are selected based on trajectory sensitivity ranking with respect to the load shedding quantities. Then the optimization model is solved via multi-objective evolutionary algorithms (MOEAs). Compared with existing practices, this work not only coordinates between preventive control (PC) and corrective control (CC) actions, but also considers a proposed user disruption indicator to reflect power supply deviation from nominal demand during load shedding and load recovery periods. A comprehensive three-dimensional Pareto-optimal tradeoff solution is computed for decision-making. The proposed method is verified by simulation results on the IEEE 39-bus system.
Persistent Identifierhttp://hdl.handle.net/10722/263540
ISBN

 

DC FieldValueLanguage
dc.contributor.authorKang, R-
dc.contributor.authorXu, Y-
dc.contributor.authorDong, ZY-
dc.contributor.authorHill, DJ-
dc.date.accessioned2018-10-22T07:40:36Z-
dc.date.available2018-10-22T07:40:36Z-
dc.date.issued2018-
dc.identifier.citationProceedings of 2018 Power Systems Computation Conference (PSCC 2018), Dublin, Ireland, 11-15 June 2018, p. 869-875-
dc.identifier.isbn9781538615836-
dc.identifier.urihttp://hdl.handle.net/10722/263540-
dc.description.abstractThis paper proposes a novel approach aiming to counteract short term voltage fluctuations and transient instability by employing centralized emergency demand response. The objectives in this optimization model include a proposed short-term voltage stability index, inversed transient stability margin and system operation cost. Combined demand response actions of load shedding and load recovery are applied during the corrective period. To reduce computational complexity, load shedding bus candidates are selected based on trajectory sensitivity ranking with respect to the load shedding quantities. Then the optimization model is solved via multi-objective evolutionary algorithms (MOEAs). Compared with existing practices, this work not only coordinates between preventive control (PC) and corrective control (CC) actions, but also considers a proposed user disruption indicator to reflect power supply deviation from nominal demand during load shedding and load recovery periods. A comprehensive three-dimensional Pareto-optimal tradeoff solution is computed for decision-making. The proposed method is verified by simulation results on the IEEE 39-bus system.-
dc.languageeng-
dc.publisherPower Systems Computation Conference.-
dc.relation.ispartofPower Systems Computation Conference (PSCC)-
dc.subjectLoad recovery-
dc.subjectMulti-objective optimization-
dc.subjectShort-term voltage stability-
dc.subjectTransient stability-
dc.titlePreventive-corrective demand response to improve short-term voltage stability and transient stability in power systems-
dc.typeConference_Paper-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.23919/PSCC.2018.8442483-
dc.identifier.scopuseid_2-s2.0-85054004363-
dc.identifier.hkuros293685-
dc.identifier.spage869-
dc.identifier.epage875-
dc.publisher.placeUnited Kingdom-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats