Research On Location And Sizing Of Distributed Power Based On Improved Dynamic Differential Evolution Algorithm

Distributed Generation(DG)has the advantages of flexibility,convenience,variety,etc.,and can effectively improve the reliability of the power supply of the distribution network.However,the access of a large number of DGs will have many impacts on the distribution of power flow,relay protection,voltage stability,and system reliability.These impacts are closely related to the DG's grid connection location and capacity.Therefore,the research on the DG location and capacity is carried out.The main research contents are as follows:(1)The impact of DG access on the voltage distribution and network loss of the distribution network is theoretically analyzed,and an 18-node power distribution system is used as an example.The effect of network loss is simulated and analyzed,and the law is summarized.The results show that it is necessary to optimize the location and capacity of DG in the distribution network.(2)In view of the traditional Differential Evolution(DE)algorithm,it is easy to fall into the local optimum,and the late convergence speed is slow.Based on the Dynamic Differential Evolution(DDE)algorithm,the inverse learning mechanism and local search strategy are introduced.An improved dynamic differential evolution(IDDE)algorithm is proposed.This algorithm guarantees the quality of each generation of solutions and the ability to jump out of the local optimal solution,so that the algorithm approaches the optimal solution faster and improves Search accuracy of the algorithm.Through four typical test functions,it is verified that the proposed algorithm has high convergence speed and convergence accuracy.(3)Analyzes the processing method of DG node types in the power flow calculation of distribution network.Taking IEEE-33 node power distribution system as an example,the forward calculation method is used to calculate the power flow of distribution network with DG.Correctness of Web Power Flow Calculation.On the problem of DG site selection and capacity,the node is evaluated based on the voltage stability index,and other relevant factors such as the actual situation of the power distribution network are used to screen the DG to be installed.A comprehensive consideration of DG investment is established.The economic objective functions of running cost,network loss cost,annual electricity purchase cost and environmental compensation cost are used as the optimization model of DG site selection and capacity.The proposed algorithm is used to solve the DG site selection and capacity problem,and the solution is given.step.(4)Finally,taking the IEEE-33 node power distribution system as an example,an improved dynamic differential evolution algorithm is used to solve the three DG access schemes of wind power,photovoltaics,and micro gas turbines,and the planning results are compared with traditional differential evolution algorithms and dynamic differential evolution algorithms.Compared with the results,the results show that the optimization results using the proposed algorithm are more reasonable,can bring better economic benefits,and improve the operational reliability of the distribution network.