Virtual Energy Storage-Based Charging and Discharging Strategy for Electric Vehicle Clusters

Author:

Jiang Yichen12,Zhou Bowen12ORCID,Li Guangdi12ORCID,Luo Yanhong12,Hu Bo3,Liu Yubo4

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China

2. Key Laboratory of Integrated Energy Optimization and Secure Operation of Liaoning Province, Northeastern University, Shenyang 110819, China

3. State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China

4. Information & Telecommunication Branch, State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China

Abstract

In order to address the challenges posed by the integration of regional electric vehicle (EV) clusters into the grid, it is crucial to fully utilize the scheduling capabilities of EVs. In this study, to investigate the energy storage characteristics of EVs, we first established a single EV virtual energy storage (EVVES) model based on the energy storage characteristics of EVs. We then further integrated four types of EVs within the region to form EV clusters (EVCs) and constructed an EVC virtual energy storage (VES) model to obtain the dynamic charging and discharging boundaries of the EVCs. Next, based on the dispatch framework for the participation of renewable energy sources (RESs) and loads in the distribution network, we established a dual-objective optimization dispatch model, with the objectives of minimizing system operating costs and load fluctuations. We solved this model with NSGA-II and TOPSIS, which guided and optimized the charging and discharging of EVCs. Finally, the simulation results show that the system operating cost was reduced by 7.81%, and the peak-to-valley difference of the load was reduced by 3.83% after optimization. The system effectively achieves load peak shaving and valley filling, improving economic efficiency.

Funder

National Natural Science Foundation of China

Applied Fundamental Research Program of Liaoning Province

Science and Technology Projects in Liaoning Province

Guangdong Basic and Applied Basic Research Foundation

Publisher

MDPI AG

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