Research On Multi-objective Dynamic Optimization And Reconfiguration Method Of Distribution Network Containing Distributed Generation

With the rapid economic development in various regions of the world,the demand for energy,especially the demand for electricity,has increased year by year,as well as energy shortages and environmental pollution problems,which have promoted the rapid development of clean distributed energy.An important form of distributed energy development is distributed generation.The integration of distributed generation into the distribution network plays a very good role in supplementing and improving the distribution network.The distribution network is an important infrastructure directly facing users,and its economic and stable operation is of great significance to social development.Therefore,optimizing the operation of the distribution network has important practical significance.Distribution network reconstruction is a commonly used method for the optimization of the operation of the distribution network.It changes the topological structure of the network by operating the switch of the network,so that one or more indicators in the distribution network can comprehensively reach the optimal value,thereby improving the economy of network operation and the reliability of power supply.Therefore,the research on the optimization and reconstruction of the distribution network with distributed generation has important practical engineering significance.This paper studies the power flow calculation of distributed power generation and distribution network.First,it briefly elaborates on distributed power sources,and summarizes the node processing methods of connecting distributed power sources to the distribution network.The power flow calculation is the theoretical basis for the reconstruction of the distribution network.This article briefly derives the power-based forward-backward method.Then,the distributed power supply is connected to the distribution network system for power flow calculation simulation analysis.The results show that the capacity of the connected distributed power supply and its connection location have a certain degree of influence on the distribution network line voltage.For static reconstruction,this paper takes the minimum loss of the distribution network,the maximum value of the lowest node voltage and the minimum number of switching operations as the goals,and conduct a static optimization reconstruction study on the distribution network system.The improved artificial bee colony algorithm and Pareto domination relationship are used to solve the static reconstruction model.For artificial bee colony algorithm is easy to fall into the problem of local optimal solution,the introduction of quantum theory and particle motion behavior to improve and enhance the ability of global convergence of the algorithm.In this paper,the decimal encoding form based on the loop is adopted,which greatly reduces the search numbers of infeasible solutions in the calculation process.Then the reconstruction simulation is carried out in the distribution network system.The results show that the improved algorithm in this paper is effective and feasible.A set of Pareto optimal solution set schemes can be obtained once running,and each scheme can well reduce network loss and improve node voltage.On the basis of the above research,for dynamic reconfiguration,this paper takes the minimum total network loss and the minimum number of operation switches in the reconstruction time interval as the goals,and conducts multi-objective dynamic optimization reconfiguration research on the distribution network system.For the reconstruction time of the distribution network,this paper uses the method based on the FCM algorithm to divide the time period.In order to ensure the diversity of reconstruction schemes,this paper adopts a solution strategy based on dynamic programming algorithm to solve the problem.Then conduct dynamic optimization reconstruction simulation analysis in the distribution network system.The results show that the method of this article is effective and the results are diversified.It provides more decision-making options for decision makers.Each reconfiguration scheme can effectively reduce network loss,and the more the number of switching operation of the scheme,the more the network loss can be reduced.