Study On Reconfiguration Of Distribution Network With Distributed Generation

The distribution network is the last link in the distribution system of the power system.It directly servers the user load,so it is an important part for users to evaluate the excellent performance of the entire power system and the user experience.From the technical point of view,it is also one of the largest part of failure and energy waste.How to provide high-quality power to load terminals efficiently and stably,which is one of the major problems to be solved in distribution network research.This work is based on this background.One of the important methods to solve the energy loss and power supply stability of the traditional distribution network is to reconstruct the network.Through the rearrangement and combination of the section switches and the loop switches in the distribution network,the optimal distribution network structure is found.This method is also extremely cost-effective.In recent years,with the power electronic equipment and distributed power access distribution network,the original distribution network power flow calculation,reconstruction calculation and analysis software is no longer applicable,how to solve the distribution network reconfiguration problem in new era and new forms,become an important part of the development of smart grid,intelligent distribution network is also an important issue self-healing.A mathematical model of distributed generation is established in this paper,which improves the traditional forward and backward generation power flow algorithm and makes it possible to calculate the distribution network power flow with multiple DGs.In addition,In order to overcome the problem that the traditional particle swarm optimization algorithm can not get the global optimal solution,this paper improved the quantum behavior particle swarm optimization algorithm and simplified the feasible using the sparse matrix technique.The results show that the algorithm is accurate and stable.The algorithm is applied to the distribution network reconfiguration with distributed power supply.Under certain conditions,the experimental results are still satisfactory.This paper attempts to solve the problem of static optimization and reconfiguration of modern distribution network,and has achieved some results,which is of certain significance for the realization of distribution network self-healing and building a smart grid based on artificial intelligence.