Distribution Network Reconfiguration With Distributed Generation

With the development and progress of the society,people’s living standard is increasing day by day. But it is associated with the deepening of energy crisis,environmental pollution problems are always bothering us.Because of its safe, efficient,energy saving,flexible performance characteristics,DG accepted by scientists,and the development of DG has excellent prospects.At the same time,the distribution network reconfiguration is also the main direction of the development.The multi-objective optimization and combination is very important.This paper combines DG and distribution network, and studies the multi-objective genetic algorithm for distribution network reconfiguration.First of all.the influence on power quality when DG to be connected into power distribution network is researched,And for different kinds of DG to establish mathematical model.Study various kinds of DG supply model carefully,and puts forward two kinds of parameters. Finally,study the power generation method of power flow calculation of DG.The second,this paper mainly studies the network reconfiguration,reliability and load balancing.And put them as a multi-objective distribution network reconfiguration problem.Then study the main multi-objective optimization algorithm,in which the MOGA,DPSO,TS as the main algorithm of this paper. With their containing DG and distribution network reconfiguration problem,the combination of design research.At the same time,this paper also designs the evaluation system to evaluate them.And make network loss,reliability and load balance into an economic indicators,using the indicators for the final judgment.Finally,this paper adopts IEEE-69system as an example,at the same time, the DG,switch and so on to join into the system.Running the system of the above three kinds of algorithms,and then using design evaluation system to evaluate them,and determine what kind of the applicability of the algorithm is the highest,and ultimately prove that DG can improve the performance of distribution network.