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

  • Authors:

  • Yan Li;Pan-Pan Jing;De-Feng Hu;Bu-Han Zhang;Cheng-Xiong Mao;Xin-Bo Ruan;Xiao-Yang Miao;De-Feng Chang

  • Affiliations:

  • Electric Power Security and High Efficiency Lab, Huazhong University of Science and Technology, Wuhan, China 430074;Electric Power Security and High Efficiency Lab, Huazhong University of Science and Technology, Wuhan, China 430074;Electric Power Security and High Efficiency Lab, Huazhong University of Science and Technology, Wuhan, China 430074;Electric Power Security and High Efficiency Lab, Huazhong University of Science and Technology, Wuhan, China 430074;Electric Power Security and High Efficiency Lab, Huazhong University of Science and Technology, Wuhan, China 430074;Electric Power Security and High Efficiency Lab, Huazhong University of Science and Technology, Wuhan, China 430074;Xinxiang Electric Power Supply Corporation of Henan Electric Power Company, Xinxiang, China 453000;Xinxiang Electric Power Supply Corporation of Henan Electric Power Company, Xinxiang, China 453000

  • Venue:
  • ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
  • Year:
  • 2009

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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.