Location And Capacity Of Distributed Power Sources Based On Improved Quantum Particle Swarm Algorithm

With the development of electric power industry,the malpractice of centralized power grid is becoming more and more obvious.Meanwhile,the development of distributed generation(DG)has attracted more and more attention.Due to the continuous increase in the number and access scale of DG access to large power grids,the pattern of the traditional power grid is changing quietly.The power flow,voltage stability,relay protection characteristics,network loss,system reliability and so on will be affected by the access of DG connected to the traditional distribution network.The equivalent model when connected to the power grid is different for various node types of DG.Therefore,how to plan the access type,capacity and location of the DG in order to minimize the adverse impact on the distribution network and achieve the effect of economic operation is a famous issue in the research of DG at present.In this thesis,the locating and sizing of DG is studied based on the consideration of several different node types of DG.The main contents of the study are as follows:1.In this thesis,several different equivalent node models of DG supply connected to distribution network are introduced.The simulation is carried out on the IEEE33 node system,and the power flow calculation is carried out by the method of forward push back substitution.This thesis analyzes the influence of DG access on the voltage amplitude of the system with different locations,capacities and types.2.The optimization model of locating and sizing and the multi-objective function of determining economy are established,and the problem of locating and sizing is transformed into a multi-objective programming problem.Before dealing with the DG locating and sizing problem,the nodes in the IEEE33 node system are preliminarily screened according to the voltage stability of the node,and some nodes with high voltage stability are eliminated,and the remaining nodes are used as candidate access nodes for DG to reduce unnecessary workload.3.An improved quantum particle swarm optimization algorithm(MQPSO)is proposed.The advantages of the algorithm in the quality of the initial solution,the speed of optimization and the accuracy of the solution are analyzed by testing function.Considering three node types of DG supply in IEEE33 model system,using the improved quantum particle swarm optimization algorithm(MQPSO)to solve the objective function.The type,position and capacity of the access DG are obtained,and the results are compared with the results obtained from the former algorithm to verify the feasibility of the improved algorithm.