A fuzzy chance-constrained program for unit commitment problem considering demand response, electric vehicle and wind power

Ning Zhang, Zhaoguang Hu, Xue Han, Jian Zhang, Yuhui Zhou

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

As a form of renewable and low-carbon energy resource, wind power is anticipated to play an essential role in the future energy structure. Whereas, its features of time mismatch with power demand and uncertainty pose barriers for the power system to utilize it effectively. Hence, a novel unit commitment model is proposed in this paper considering demand response and electric vehicles, which can promote the exploitation of wind power. On the one hand, demand response and electric vehicles have the feasi- bility to change the load demand curve to solve the mismatch problem. On the other hand, they can serve as reserve for wind power. To deal with the unit commitment problem, authors use a fuzzy chance- constrained program that takes into account the wind power forecasting errors. The numerical study shows that the model can promote the utilization of wind power evidently, making the power system operation more eco-friendly and economical.
Original languageEnglish
JournalInternational Journal of Electrical Power and Energy Systems
Volume65
Pages (from-to)201-209
ISSN0142-0615
DOIs
Publication statusPublished - 2015

Keywords

  • Fuzzy chance-constrained program
  • Unit commitment
  • Demand response
  • Electric vehicle
  • Vehicle-to-grid
  • Wind power

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