Reactive Power Optimization Of Radical Distribution System On Improved Genetic Algorithm

The reactive power optimization of a radial distribution system can efficiently minimize the real power losses and improve voltage level of it, so that the yearly running charge will be reduced and the quality of power energy can be increased.Power flow method of a distribution system is the base and tool of reactive power optimization, whose convergence and computation speed is very important to the efficiency of optimization. This paper deeply analyses the power flow mothod of a distribution network, and chooses the branch-current method which has a high computation speed and good convergent based on the fact situation of the optimization problem.Also,the mechanism prove on convergence of branch current is presented.The established mathematical model which suitable for realistic situation of distribution network is the key to slove the reactive power optimization. This paper present the comprehensive objective function considering network energy loss ,nodevoltage level and investment of reactive compensation equipment. Penalty function is considered to deal with variables violating the constraints. Its principal means is to regulate transformer rate and to parallel with capacitors.Thie paper implements reactive power optimization calculation based on above mathematical model by Genetic Algorithm.To overcome the poorly computational efficiency of Genetic Algorothm, we also makes an improvement of it to enhances its convergence speed and search efficiency.Based on the proposed mathematical model and algorithm, a computer program is developed.The real tests prove the practicability and validity of this paper method.