Distribution System Planning Considering Distributed Generation And Electric Vehicle Charging Station

With the increasingly serious problems of energy shortage and environmental pollution,distributed generation as a clean,efficient and environment-friendly form of power generation is widely connected to the distribution network.At the same time,due to the strong support of national policies,electric vehicles are becoming more and more popular,and the installation demand of charging station is increasing.The integration of distributed generation and electric vehicle charging station brings new challenges to distribution network planning,and the traditional distribution network planning method is no longer applicable.In this context,a distribution system planning method considering distributed generation and electric vehicle charging station is proposed.Firstly,the planning scenario is determined according to the historical data of distributed generation and load in the planning area,instead of selecting typical days according to the four seasons of the year,Then,the k-means method is used for clustering analysis.Finally,the historical data of distributed generation output and load with planning area are used to determine the planning scenario,which greatly reduces the amount of planning calculation and ensures the accuracy of planning results.Then,the planning model of distribution network with distributed generation and electric vehicle charging station is established,and the general steps of distribution network planning are introduced.The mathematical model of distributed generation,electric vehicle charging station and load is established.Then,the tide calculation method in planning calculation is discussed,and the forward backward method is selected to calculate the power flow.Taking the investment cost,operation cost and operation performance of the distribution network as the most objective function,and the power flow,node voltage and branch current of the distribution network as the constraint conditions,the planning model of the distribution network is determined,The main innovation of this paper is to improve the traditional differential evolution algorithm and propose a multi population traction differential evolution algorithm for distribution network planning.This improved algorithm uses logistic model to generate the initial population,which increases the diversity of individuals in the initial population and avoids the optimization result falling into local optimum.Then,the improved ieee37 node model is used to verify the effectiveness of the algorithm,and compared with the particle swarm optimization algorithm and the traditional differential evolution algorithm,the effectiveness of the algorithm is verified.Finally,the weight of each objective function in fitness function is discussed.Finally,taking the distribution system of a real Park as an example,the distribution system planning of distributed photovoltaic and electric vehicle charging station is carried out,which further verifies the effectiveness of the proposed planning method.