Distribution network planning with distributed photovoltaic and electric vehicle charging stations based on multi-population traction differential evolution algorithm

Abstract

Currently, in the background of a large number of distributed photovoltaic and electric vehicle charging stations with access to the distribution network, this paper presents a distribution network planning method with distributed photovoltaic and electric vehicle charging stations based on multi-population traction differential evolution algorithm. Firstly, this paper considers the curve characteristics of photovoltaic and load, and uses cluster analysis to determine the planning scenery, so that the planning results are more accurate. Then, the distribution network planning model is constructed from the aspects of the minimum investment cost, operation cost and performance index. Then, to improve the speed and the accuracy of planning results, the multi-population traction differential evolution algorithm is used to solve the planning model. Finally, a 10kV line is used as an example to verify the reliability of the proposed method. Then, the traditional differential evolution algorithm and the other two algorithms are compared and analyzed to verify the effectiveness of the proposed planning method.