| Rational distribution of reactive power in power system is the prior condition Which ensures voltage quality and reduces the loss optimization adjustment of reactive power can play an important role in secure and economical operation of power system,so that the study of the problem of reactive power optimization has the great significance in theory and practical application.Reaetive power optimization in power system is a mixed non -linear optimization problem with many variables and constraints,the operating variables include continuous and discrete variables,so the optimization becomes very complicated.As a kind of search algorithm based on the mechanics of natural selection and genetics,genetic algorithm is fit to rsolving reaetive power optimization.This paper introduces the process of development and research actuality of reactive power optimizationin in power system and establishes the basic mathematical model and the object function of model which based on active power loss and the penalty function which used to deal with variables which violate the constraints.And takes before and back power flow calculation.Aiming at premature and slow convergent speed which happens usually in the cause of solving reactive power optimization which belongs to complicated non-linear optimization this paper improves the basic Genetic algorithm.Improved algorithm can avoid converging to a local optimal solution reinforces the ability of overall searching optimal solution and improves the precision of calculation meanwhile maintain the virtues of the basic genetic algorithm.Based on the proposed mathematical model and algorithm,practical program is made by MATLAB language.The proposed algorithm in this paper is applied to the IEEE28-node system and compares the results of optimization with the simple genetic algorithm.All the results given in the paper show that the proposed algorithm in this paper has the better ability of overall searching optimal solution and higher precision.
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