Fuzzy random chance-constrained programming for quantifying transmission reliability margin

  • Authors:
  • Wu Jiekang;Zhou Ju;Wu Qiang;Liang Ying

  • Affiliations:
  • Department of Electrical Engineering, Gunagxi University, Nanning, Guangxi, China;Department of Electrical Engineering, Gunagxi University, Nanning, Guangxi, China;Department of Computer and Information Engineering, Gunagxi University, Nanning, Guangxi, China;Guangxi Water Resources & Electric Power Ltd., Nanning, Guangxi, China

  • Venue:
  • FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
  • Year:
  • 2006

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Abstract

A fuzzy random chance-constrained programming method for quantifying transmission reliability margin is presented in this paper. Uncertainty problem of power systems is modeled as a fuzzy stochastic optimization problem, solved the hybrid intelligence algorithm based on chance constrained programming model. The simulation results of IEEE30 system demonstrate the advantages of the proposed approach.