Study on Master-Slave Game Optimization Operation of Integrated Energy Microgrid Considering PV Output Uncertainty and Shared Energy Storage

• DOI: 10.20965/jaciii.2024.p0528
• Publication Date: 2024-05-19T15:02:07Z
• Authors: Kai Kang; Yunlong Zhang; Yijun Miu; Qi Gao; Kaiwen Chen; Zihan Zeng
• Keywords: Microgrid; Master/slave

Integrated energy microgrids and shared storage have significant benefits in improving the utilization of system, which is gradually becoming current research hotspot. And uncertainty new output also significantly affects stable economic operation integrated microgrid. So how to establish a set optimization model considering photovoltaic (PV) an urgent problem be solved nowadays. Firstly, this paper introduces framework system microgrid containing operator (ESO), analyzes scheduling method upper tier within as well at lower user end. Secondly, address randomness PV output, Monte Carlo used generate scenarios, then scenarios are cut down by using fast antecedent elimination technique. Then, optimal established for micro grid (MGO) aggregator (UA), respectively, based on master-slave game relationship, so that MGO leader UA follower, Stackelberg proposed consider demand response electricity heat between context participation ESO auxiliary service UA. Finally, brought into typical residential building community simulation verification, results show can effectively balance interests MGOs UAs, realize win-win ESO.