Decentralised Optimal Operation Strategy for AC/DC Distribution Networks Considering Electric Vehicles

Abstract

With the development of Direct Current (DC) transmission technology and power electronics technology, traditional Alternating Current (AC) distribution networks are being gradually transformed into AC/DC hybrid distribution network with a significant zoning structure. This paper proposes a distributed optimal operation strategy for AC/DC distribution networks by considering electric vehicles (EVs). First, Monte Carlo simulation is used to establish a mathematical model for EVs. Considering the differences between constituent districts and the controllability of EVs, appropriate charging start times of EVs are designated, and the objective function is to minimize the fluctuation of the total load curve. Subsequently, the chance-constrained method is applied to address the uncertainty of renewable energy and load. By implementing the coordinated dispatch of source, load, and storage, the optimal operation model of the AC/DC distribution network is established, based on the improved alternating direction multiplier method. The simulation results verify the effectiveness of the proposed distributed optimal operation strategy.