Bi-level Optimal Scheduling of Microgrid with Integrated Power Station Based on Stackelberg Game

• Published in: 2019 4th International Conference on Intelligent Green Building and Smart Grid (IGBSG) pp. 278 - 281
• Main Authors: Ni, Kaixuan, Wei, Zhaobin, Yan, Hai, Xu, Kang-Yi, He, Li-Jun, Cheng, Shan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2019
• Subjects: Batteries; charging-swapping-storage integrated station; differential evolution algorithm; Economics; Games; internal electricity price; microgrid; Microgrids; Optimal scheduling; Software algorithms; stackelberg game
• DOI: 10.1109/IGBSG.2019.8886314

A bi-level optimal scheduling model based on Stackelberg game is established for the economical operation of electric vehicle charging-swapping-storage integrated station(CSSIS) and microgrid with different ownership. As the leader , microgrid taking maximum profit as the objective function formulates the internal price of electricity trading with CSSIS. CSSIS acts as follower, adjusting its own charging/discharging plan according to the internal electricity price set by microgrid to achieve its maximum benefit. The differential evolution algorithm and Gurobi software are used to solve bi-level optimization problems respectively, as a results, the optimal internal electricity price and the optimal charge and discharge plan for CSSIS are obtained. The simulation case shows that the proposed algorithm can effectively solve the equilibrium strategy of interaction between microgrid and CSSIS, which can not only improve the their benefits , but also achieve mutual benefit and win-win, and more effectively use the resources of CSSIS.