A Strategy of Minimising Wind Power Curtailment by Considering Operation Capacity Credit

Zhou Liu, Chi Su, Jiakun Fang, Weihao Hu, Zhe Chen, Yanting Hu, Taiyi Zheng, Yong Sun

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

4 Citations (Scopus)
512 Downloads (Pure)

Abstract

An optimal wind power curtailment strategy considering operation capacity credit is proposed in this paper to minimize the uncertain wind power curtailment and minimize the system operation cost. The relevant definitions in capacity credit assessment are applied in the power system operation situation. Based on operation capacity credit prediction, the optimal operation control strategy is defined and implemented for hourly system operation and control. Multi-agent system based control structure is adopted to coordinate the diverse system components to work together and realize the system wide targets of the proposed strategy. The simulation results demonstrate the effectiveness of the proposed strategy.
Original languageEnglish
Title of host publicationProceedings of the IEEE Power & Energy Society General Meeting, PES 2015
Number of pages5
PublisherIEEE Press
Publication dateJul 2015
Pages1-5
ISBN (Print)978-1-4673-8040-9
DOIs
Publication statusPublished - Jul 2015
EventIEEE Power & Energy Society General Meeting, PES 2015 - Sheraton Denver Downtown Hotel 1550 Court Place, Denver, Colorado, United States
Duration: 26 Jul 201530 Jul 2015

Conference

ConferenceIEEE Power & Energy Society General Meeting, PES 2015
LocationSheraton Denver Downtown Hotel 1550 Court Place
Country/TerritoryUnited States
CityDenver, Colorado
Period26/07/201530/07/2015

Keywords

  • Wind power curtailment
  • Operation capacity credit
  • Optimal control strategy
  • Multi-agent system

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