Paper Title:
Based on Hybrid Particle Swarm Optimization of the AGC Units Dispatch
  Abstract

On the premise of ensuring safety and reliability in electricity market environment, the goal of State Grid Corporation is that purchase AGC ancillary service charges of reducing cost. This paper first takes total expense from many AGC units as an objective function, , which synthetically considers total regulation MW amount and total regulation speed constraints. A novel hybrid particle swarm optimization (PSO) algorithm is applied to solve the problem. Numerical simulation results show that the improved PSO algorithm has advantages both in the calculation accuracy and the convergence speed. Therefore, it is concluded that the algorithm is supposed to be an effective way to deal with the optimized issue in the power market.

  Info
Periodical
Edited by
Zhixiang Hou
Pages
274-279
DOI
10.4028/www.scientific.net/AMM.48-49.274
Citation
X. H. Wang, Y. M. Zhang, "Based on Hybrid Particle Swarm Optimization of the AGC Units Dispatch", Applied Mechanics and Materials, Vols. 48-49, pp. 274-279, 2011
Online since
February 2011
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