Optimal Reactive Power Dispatch Using Particle Swarms Optimization Algorithm Based Pareto Optimal Set

  • Yan Li
  • Pan-pan Jing
  • De-feng Hu
  • Bu-han Zhang
  • Cheng-xiong Mao
  • Xin-bo Ruan
  • Xiao-yang Miao
  • De-feng Chang
Conference paper

DOI: 10.1007/978-3-642-01513-7_17

Volume 5553 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Li Y. et al. (2009) Optimal Reactive Power Dispatch Using Particle Swarms Optimization Algorithm Based Pareto Optimal Set. In: Yu W., He H., Zhang N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5553. Springer, Berlin, Heidelberg

Abstract

An improved particle swarms optimization algorithm based on Pareto Optimal set is proposed to optimize the reactive power in power system, which is a multiple objectives optimization problem. The proposed algorithm develops the new fitness assignment and random inertia weight strategy, problem-specific linkages can be learned by examining a randomly chosen collection of points in the search space, the improved algorithm also has the ability to avoid getting trapped in local optima due to prematurity, applying it to the calculation of the power systems of IEEE6-bus and IEEE14-bus, the calculation results prove its effectiveness.

Keywords

Reactive power optimization Pareto Optimal set Fitness assignment Random inertia weight strategy 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yan Li
    • 1
  • Pan-pan Jing
    • 1
  • De-feng Hu
    • 1
  • Bu-han Zhang
    • 1
  • Cheng-xiong Mao
    • 1
  • Xin-bo Ruan
    • 1
  • Xiao-yang Miao
    • 2
  • De-feng Chang
    • 2
  1. 1.Electric Power Security and High Efficiency LabHuazhong University of Science and TechnologyWuhanChina
  2. 2.Xinxiang Electric Power Supply Corporation of Henan Electric Power CompanyXinxiangChina