Joint planning of electric vehicle charging station and distributed generation on location and capacity

Abstract

The widespread application of distributed generation and electric vehicles are two important ways to save energy and reduce emissions. Therefore, the location and capacity of distributed generation and electric vehicle charging stations are particularly important. From the perspective of environmental protection, distributed power generation has obvious advantages over traditional power generation methods. Based on this, this paper establishes a model of location and capacity of electric vehicle charging stations with distributed generation with the lowest sum of investment, operation and maintenance costs, network losses and environmental costs. And this paper uses the Grasshopper Optimization Algorithm to solve the model. Finally, the IEEE 33-node distribution system is used as an example to perform calculations to verify the effectiveness and feasibility of the proposed model and algorithm.