Reactive Power Optimization of Distribution Network on Improved Genetic Algorithm

Abstract

An improved genetic algorithm is presented for solving the problem of slow convergence speed and premature phenomenon using traditional genetic algorithm in this paper. Combined with the characteristics of reactive power optimization of power system, binary code, initial population, crossover, mutation and fitness function had been improved by the proposed algorithm. The property and accuracy with the IEEE14 and IEEE30 bus system are tested, the results show that the model and algorithm avoid effectively premature phenomenon and reduce the active power loss in the evolution.