Stochastic wind curtailment scheduling for mitigation of short-term variations in a power system with high wind power and electric vehicle

Jaehee Lee, Jinyeong Lee, Young Min Wi, Sung-Kwan Joo

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Occasionally, wind curtailments may be required to avoid an oversupply when wind power, together with the minimum conventional generation, exceed load. By curtailing wind power, the forecast uncertainty and short-term variations in wind power can be mitigated so that a lower spinning reserve is sufficient to maintain the operational security of a power system. Additionally, the electric vehicle (EV) charging load can relieve the oversupply of wind power generation and avoid uneconomical wind power curtailments. This paper presents a stochastic generation scheduling method to ensure the operation security against wind power variation as well as against forecast uncertainty considering the stochastic EV charging load. In the paper, the short-term variations of wind power that are mitigated by the wind curtailment are investigated, and incorporated into a generation scheduling problem as the mixed-integer program (MIP) forms. Numerical results are also presented in order to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Article number1684
JournalApplied Sciences (Switzerland)
Volume8
Issue number9
DOIs
Publication statusPublished - 2018 Sep 18

Keywords

  • Electric vehicle
  • Power system uncertainty
  • Wind power
  • Wind power curtailment

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

Fingerprint Dive into the research topics of 'Stochastic wind curtailment scheduling for mitigation of short-term variations in a power system with high wind power and electric vehicle'. Together they form a unique fingerprint.

  • Cite this