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A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming

Author

Listed:
  • Wushan Cheng

    (School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China)

  • Haifeng Zhang

    (School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China)

Abstract

In order to maintain the stability and security of the power system, the uncertainty and intermittency of wind power must be taken into account in economic dispatch (ED) problems. In this paper, a dynamic economic dispatch (DED) model based on chance constrained programming is presented and an improved particle swarm optimization (PSO) approach is proposed to solve the problem. Wind power is regarded as a random variable and is included in the chance constraint. New formulation of up and down spinning reserve constraints are presented under expectation meaning. The improved PSO algorithm combines a feasible region adjustment strategy with a hill climbing search operation based on the basic PSO. Simulations are performed under three distinct test systems with different generators. Results show that both the proposed DED model and the improved PSO approach are effective.

Suggested Citation

  • Wushan Cheng & Haifeng Zhang, 2014. "A Dynamic Economic Dispatch Model Incorporating Wind Power Based on Chance Constrained Programming," Energies, MDPI, vol. 8(1), pages 1-24, December.
    • Handle: RePEc:gam:jeners:v:8:y:2014:i:1:p:233-256:d:44083
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    References listed on IDEAS

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    1. Wei Zhou & Hui Sun & Yu Peng, 2010. "Risk Reserve Constrained Economic Dispatch Model with Wind Power Penetration," Energies, MDPI, vol. 3(12), pages 1-15, December.
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    Cited by:

    1. Liu, Fan & Bie, Zhaohong & Liu, Shiyu & Ding, Tao, 2017. "Day-ahead optimal dispatch for wind integrated power system considering zonal reserve requirements," Applied Energy, Elsevier, vol. 188(C), pages 399-408.

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