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Fuzzy Random Chance-Constrained Programming for Quantifying Transmission Reliability Margin

  • Wu Jiekang
  • Zhou Ju
  • Wu Qiang
  • Liang Ying
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)

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.

Keywords

Power System Transfer Capability Power System Operation System Reliability Analysis IEEE30 System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Wu Jiekang
    • 1
    • 2
    • 3
  • Zhou Ju
    • 1
  • Wu Qiang
    • 4
  • Liang Ying
    • 5
  1. 1.Department of Electrical EngineeringGunagxi UniversityNanning, GuangxiChina
  2. 2.Department of Electrical EngineeringZhejiang UniversityHangzhou, ZhejiangChina
  3. 3.AUX GroupSanxing Science and Technology Co., Ltd.Ningbo, ZhejiangChina
  4. 4.Department of Computer and Information EngineeringGunagxi UniversityNanning, GuangxiChina
  5. 5.Guangxi Water Resources & Electric Power Ltd.Nanning, GuangxiChina

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