Reactive power optimization of power system based on improved genetic algorithm

This paper briefly analyzes the limitation of some reactive power optimization methods for power system and through comparison draws the conclusion that genetic algorithm is an effective method for reactive power optimization.A more effective method——the improved genetic algorithm is put forward based on simple genetic algorithm.The new algorithm conquers the defects of convergence rate slow and easily being precocious of simple genetic algorithm,and links up the characters of reactive power optimization of power system,and profits from the simulated annealing in the execution process of genetic algorithm to amend the individual fitness constantly.It applies float point encoding,muti-population,self-adaptive variation rate and self-adaptive crossing rate as well.The calculation example indicates that this improved genetic algorithm has the optimal results with improved precision and convergence speed.