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A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problem

  • Jianhua Zhang
  • Yingxin Wang
  • Rui Wang
  • Guolian Hou
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6145)

Abstract

This paper presents an optimal economic dispatch for power plants by using modified particle swarm optimization (PSO) algorithm. The economic dispatch problem in power systems is to determine the optimal combination of power outputs for all generating units in order that the total fuel cost can be minimized, furthermore, all practical constraints can be satisfied. Several key factors in terms of valve-point effects of coal cost functions, unit operation constraints and power balance are considered in the computation models. Consequently, a new adaptive PSO technique is utilized for solving economic dispatch problems. The proposed algorithm is compared with other PSO algorithms. Simulation results show that the proposed method is feasible and efficient.

Keywords

Economic dispatch Particle swarm optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jianhua Zhang
    • 1
  • Yingxin Wang
    • 1
  • Rui Wang
    • 1
  • Guolian Hou
    • 1
  1. 1.North China Electric Power UniversityBeijingChina

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