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Chinese Journal of Management Science ›› 2007, Vol. 15 ›› Issue (1): 69-73.

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The Application of Particle Swarm Optimization Based Grey Model to Power Load Forecasting

NIU Dong-xiao, ZHAO Lei, ZHANG Bo, WANG Hai-feng   

  1. Department of Business Administration, North China Electric Power University, Beijing 102206, China
  • Received:2005-10-07 Revised:2006-01-10 Online:2007-02-28 Published:2007-02-28

Abstract: According to the load characteristic of power system and the application limitation of grey model GM(1,1),vector is introduced into the computing formula of background value array. A new model GM (1,1,)which bears higher adaptability is constructed. Particle swarm optimization algorithm is adopted in order to solve the value of a as it has the virtue of optimum-seeking. Then a particle-swarm-optimization-based grey model PSOGM is proposed and practical examples are given. The simulation results indicate that PSOGM model gives better precision and has wider application field.

Key words: power load forecasting, grey model, background value, particle swarm optimization

CLC Number: