Reactive Power Optimization Computing Of High Voltage Distribution Network Based On Genetic Algorithm

Reactive power optimization problem means that how to minimize the active power lossand other performance indices through changing the output of reactive power compensationdevices when the network structure when the parameters of power systems, active andreactive power of the load and active power output of generators are given, which isessentially a nonlinear optimization problem. Because traditional algorithms for reactivepower optimization problem will face with the computational efficiency and convergenceissues, this paper focuses on the genetic algorithm which is an important branch of theheuristic search methods, and applied to a high voltage distribution network reactive poweroptimization problems.Firstly, this paper describes the current situation and existing problems of reactive powerin Zhaoqing area, indicating the significance of researching reactive power optimization inZhaoqing area. At the same time, the current research situation and the advantages anddisadvantages of reactive power optimization using mathematical optimization algorithms andheuristic search algorithms are expounded, and the superiority of genetic algorithm isdescribed. Secondly, a high voltage distribution power flow calculation model and its solutionare given. Thirdly, reactive power optimization model of distribution networks that considerboth active power loss and reactive power cost is established and the genetic algorithmcalculation principles are introduced, and how to apply genetic algorithm to solving reactivepower optimization model is discussed. The floating-point encoding method is adopted toencode the control variables, and the roulette wheel selection method, single point crossovermethod and the single point mutation method are used to simulate the process of biologicalevolution. A fitness function which is related to the objective function is used to evaluate theevolutionary outcomes to realize the survival of the fittest of population.Furthermore, Matlab is selected as a programming tool to implement the proposedalgorithm. The software is applied in a22-nodes typical high voltage distribution network inZhaoqing area. The results demonstrate that the compensation scheme obtained from theproposed method is better than the original compensation scheme in terms of economy, andfeasibility and effectiveness of the proposed method is verified also.