Reactive Power Optimization Of Distribution Network Based On Improved Genetic Algorithm

Distribution Network plays an important role in the power system and is the key bridge between the power sector and power users.With the rapid rise of the electric power industry,the scope of the distribution network is constantly expanding and the line combination is complex,many reasons,such as the increase of power demand,lead to the system reactive power shortage,unreasonable distribution,the line terminal node voltage shortage and so on.How to improve the power quality and reduce the power loss is the object of study for the relevant personnel in the power industry.The reactive power optimization of distribution network is a complex discontinuity problem.Although the traditional optimization algorithm has a good effect on the reactive power optimization of distribution network,in dealing with the distribution network with complicated lines,the traditional optimization algorithm,because of its own defects,greatly improves the difficulty of Algorithm operation.The new artificial intelligence algorithm can improve some defects of the traditional algorithm so as to better solve the optimization problem.The objective function of reactive power optimization and the optimization Algorithm are not the same.In this paper,the distribution network is selected as the objective function to establish the mathematical model,and Genetic Algorithm(Ga)is used to optimize the distribution network,based on the Standard Genetic Algorithm,some parts of the Algorithm itself are Improved,and an Improved Genetic Algorithm is proposed.Secondly,the initial population and iteration times of the genetic algorithm are processed to improve the probability of searching the global optimal solution and the convergence speed and precision of the algorithm The processing of Crossover and mutation probability improves the optimization speed and effect of the Algorithm.Finally,the shunt capacitor bank is selected as the reactive power compensation device to compensate the node access compensation device.In this paper,IEEE-14 and IEEE-33 node system are used as the target optimization system,and the two nodes system is simulated by Matlab simulation platform.The improved genetic algorithm and the improved genetic algorithm are verified in the two nodes system respectively.The simulation results show that in IEEE-14 system,the active power loss reduction rate of improved GA is 1.02% higher than that of standard Ga,and that of improved GA is 13.5% higher than that of standard Ga in IEEE-33 system.The improved genetic algorithm is superior to the standard genetic algorithm in optimization speed and accuracy,effectively reduces the active power loss of distribution network,and improves the quality of node voltage.