An Improved Differential Evolution Algorithm Based on Mutation Strategy for Dynamic Economic Dispatch

  • Hongfeng Zheng
  • Min Hu
  • Ziqing Xie
  • Chunchao Shi
  • Minmin Zhou
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 113)

Abstract

Dynamic economic dispatch (DED), is a method of scheduling the online generators with a predicted load demand over a certain period of time taking into account the various constraints imposed on the system operation. In this chapter, an improved differential evolution (IDE) algorithm was presented for power system Dynamic economic dispatch (IDED). The proposed IDE algorithm was tested on a system consisting 15 generators. The scheduling horizon is chosen as one day with 24 intervals of 1 h each whose cost function took into account the valve-point effects except the prohibited discharge zones. The results indicate that IDE algorithm outperforms GA, PSO and DE algorithms in solving DED problems.

Keywords

Dynamic Dispatch Improved Differential evolution 

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Hongfeng Zheng
    • 1
  • Min Hu
    • 1
  • Ziqing Xie
    • 1
  • Chunchao Shi
    • 1
  • Minmin Zhou
    • 1
  1. 1.Zhejiang Industry Polytechnic CollegeShaoxingChina

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