Research On Optimization Of Electric Vehicle Charging Scheduling Based On Blockchain

Abstract

With the popularization and application of new energy, the vigorous development of electric vehicles is facilitated. While the number of electric vehicles has increased significantly, a large number of electric vehicles are charged in disorder, resulting in the problems of low charging efficiency and serious grid load. This paper proposes a blockchain-based charging scheduling strategy for electric vehicles. Firstly, a trusted information platform based on blockchain is built, and a secure scheduling architecture for electric vehicle charging based on blockchain is designed. Furthermore, considering the factors of user reputation, time-of-use electricity price, and distance consumption, a user behavior-based calculation method of the cost is proposed. Finally, an electric vehicle charging scheduling strategy based on Particle Swarm Optimization is constructed to achieve the goal of orderly charging scheduling and peak shaving and valley filling of a large number of electric vehicles. The theoretical analysis and simulation experiments show that the proposed optimization scheme could effectively reduce user overhead and grid pressure.