Research On Location And Capacity Optimization Of Distributed Photovoltaic Generation Connected To Distribution Network

With the improvement of people's living standards,the power load is increasing rapidly,and the power distribution system is facing severe challenges,such as: high cost of electricity for users,prone to large-scale power outages,etc.Coupled with the gradual depletion of primary energy and increasing environmental pollution,the distributed photovoltaic generation has caused widespread concern seriously.After the distributed photovoltaic generation is connected to the distribution network,it can not only improve the comprehensive utilization efficiency of energy,reduce environmental pollution,but also improve the power supply reliability of the distribution system and cope with the increasing demand for electricity.However,if the installation location and capacity are unreasonable,it will have many adverse effects on the power system.And it must be considered when planning the distributed photovoltaic grid connection.Therefore,the analysis of the location and capacity of the distributed photovoltaic generation before the distribution network planning is of great significance for the safe and economic operation of the distribution network.In order to solve the problem of location and capacity optimization of distributed photovoltaic generation connected to distribution network,and the main work is following:First,the effects of distributed photovoltaic grid connection on the distribution network are studied.The influence of voltage quality and network loss on the distribution network is analyzed by using IEEE examples and actual photovoltaic grid connection examples.This thesis expounds the impact of distributed photovoltaic generation grid connection on distribution network planning,voltage quality,network loss,relay protection and reliability.Then,a distributed photovoltaic generation location and capacity optimization model is constructed,and a location and capacity optimization method for distributed photovoltaic connected to distribution network based on improved genetic algorithm is proposed.Then,its effectiveness is verified by an example.The process of location and capacity optimization of distributed photovoltaic generation connected to distribution network is analyzed,and a distributed photovoltaic generation location and capacity optimization model considering voltage quality,network loss and investment cost is built.On the basis of the optimization model,a location and capacity optimization method for distributed photovoltaic generation connected to distribution network based on improved genetic algorithm is proposed.The crossover and mutation operators in the traditional genetic algorithm are dynamically assigned to improve the convergence and stability of the algorithm,which is convenient for solving the location and capacity optimization model of distributed photovoltaic generation connected to distribution network.The effectiveness and feasibility of the optimization method are verified by the simulation of location and capacity of distributed photovoltaic generation in IEEE34 example.Last,based on Matlab and OpenDSS,the multi-objective optimization function of distributed photovoltaic generation location and capacity is realized.The optimization algorithm is completed by Matlab,and the core solver of OpenDSS is invoked through the COM interface to carry out power system simulation calculation and complete optimization solution.On this basis,the actual location and capacity optimization of photovoltaic grid-connected in a certain area is completed,which provides a support tool for the grid connection of distributed photovoltaic generation in this area.