Research On Reactive Power Optimization Of Distribution Network With Photovoltaic Grid-connection

Reactive power optimization of distribution network is an important work in network planning and operation management.It is an important means to reduce network loss,improve power quality and improve the stability of power system.It can affect the security and economy of distribution network in the actual operation process.With the rapid development of photovoltaic grid-connected technology,photovoltaic power stations have certain reactive power regulation ability on the basis of electricity transmission to the power grid,but it also brings great challenges to the operation of the distribution network.First,this paper introduces the research status of power system reactive power optimization problem were used in reactive power optimization problem solving all kinds of algorithms and analyzes the advantages and disadvantages of various algorithms and the applicable scope Briefly describes the composition of the principle of photovoltaic solar power generation and classification,the photovoltaic power station of the active power and reactive power output capacity Photovoltaic(PV)grid after the analysis of the influence of the distribution network.Secondly,based on the characteristics of the reactive power optimization,selection of Artificial Fish Swarm Algorithm(Artificial Fish Swarm Algorithm,AFSA)to solve the reactive power optimization problem In view of the Artificial Fish Swarm Algorithm is applied to reactive power optimization problem in the late of convergence is slow Easily trapped in local minima problem,in this paper,the basic Artificial Fish Swarm Algorithm is improved,and put forward the adaptive step length and feedback behavior,in order to increase the convergence accuracy To speed up the convergence rate;In the improved Artificial Fish Swarm Algorithm,partial operation of chaos algorithm is used to improve the performance of the algorithm,so that the algorithm can jump out of the local optimal value in time,and converge to the global optimal value.The performance test of the improved AFSA algorithm and the basic AFSA algorithm is carried out.The results show that the improved algorithm is effective.Finally,the reactive power regulation measures of distribution network are analyzed,the applicable scope and limitation of various measures are explained,and the single objective reactive power optimization model with minimum network loss and minimum network loss is established Node voltage minimum deviation between the normalized processing of multi-objective reactive power optimization model,using the standard AFSA algorithm and improved AFSA algorithm in this paper on the improved IEEE33 nodes such as photovoltaic(PV)system simulation calculation,the results are comparative analysis,the system of active power loss is decreased obviously,improve system voltage quality,verified the reactive optimization is proposed in this paper The feasibility and effectiveness of the algorithm.