Shi, Y., Feng, D., Zhou, E. and Chen, F. (2019) Stackelberg Game Based on Supervised Charging Method and Pricing Strategy of Charging Service Providers. Transactions of China Electrotechnical Society, 34, 742-751.

has been cited by the following article:

• TITLE: A Multi-Objective Coordinated Charging and Discharging Strategy for Electric Vehicles Based on Stackelberg Game

  AUTHORS: Haozhe Xu, Xueliang Huang

  KEYWORDS: Vehicle-to-Grid (V2G), Stackelberg Game, Electric Vehicle (EV), Optimal Dispatch

  JOURNAL NAME: Energy and Power Engineering, Vol.12 No.4B, April 10, 2020

  ABSTRACT: For the negative impact of large-scale electric vehicles (EVs) disorderly charging on the power grid, a multi-objective optimization strategy for coordinated charging and discharging of EVs based on Stackelberg game is proposed. As the leader, the grid company aims to stabilize load fluctuations and formulate a reasonable electricity price strategy to guide EVs to participate in vehicle-to-grid (V2G); As followers, EV users optimize their charging plans based on electricity price information with the objective of reducing costs and obtaining good comfort. This paper uses the MOPSO algorithm to solve the proposed multi-objective Stackelberg problem, and calculates the optimization results under various preferences, which proves the effectiveness of the proposed model and method.