Research on Orderly Charging Strategy of Electric Vehicles Based on Real-time Electricity Price

摘要

Large-scale Electric Vehicles connected to the distribution network will increase the peak-to-valley difference of the distribution network, resulting in a peak-to-peak situation, which will cause serious impacts on the distribution network including network-loss increase and safety decline. Therefore, Electric Vehicles orderly guidance plays a significant role concerning this area. Based on the user's consideration of economic benefits and enthusiasm, a real-time electricity price model for electric vehicle response is established. In addition, an orderly charging strategy is proposed under this basis. Three goals are expected to be achieved in this study: minimize he peak-valley load difference of the distribution network, minimize user costs, maximize the profits of charging station operators, and establish a multi-objective charging optimization model. The real-time weight adjustment factor is added in front of the user, which can adjust the corresponding weights according to different electricity prices in order to deal with different situations. Besides the quantum particle swarm optimization algorithm is added to the chaotic map for optimization. Finally, an example is used to simulate a certain distribution network system, whose results prove the effectiveness of real-time electricity price guidance and the practicability of the improved model.