Master-Slave Game Based on Economic Optimization Method of Multi-Microgrid System

doi:10.11930/j.issn.1004-9649.201903077

Abstract

Abstract: With the deepening reform of the electricity market on the sale side, it is of great significance to study the economic optimization of multi-microgrid (MMG) system. This paper proposes a master-slave game based economic optimization method of MMG system, which consists of day-ahead optimization stage and real-time optimization stage. In the day-ahead optimization stage, the microgrid operator (MGO) optimizes the schedule of the energy storage units based on the day-ahead forecast information and grid price information; In the real-time optimization stage, the system operator (SO) solves the internal optimal price by constructing master-slave game model based on the real-time forecast information, encourages MGO to participate in energy trading in MMG system, and improves energy sharing between microgrids. The results of case studies show that the two-stage economic optimization method proposed in this paper can effectively improve the benefits of MGO and SO, and reduce the peak-to-average load ratio of MMG system.

Key words: multi-microgrid, economic optimization, master-slave game, two-stage optimization, electricity trading

CLC Number:

TM73

TONG Xin, HU Cungang, RUI Tao. Master-Slave Game Based on Economic Optimization Method of Multi-Microgrid System[J]. Electric Power, 2019, 52(6): 68-76.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201903077

https://www.electricpower.com.cn/EN/Y2019/V52/I6/68

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