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JACIII Vol.28 No.3 pp. 528-540
doi: 10.20965/jaciii.2024.p0528
(2024)

Research Paper:

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

Kai Kang*, Yunlong Zhang*, Yijun Miu*, Qi Gao**, Kaiwen Chen**, and Zihan Zeng**

*PowerChina Hubei Electric Engineering Co., Ltd.
No.1 Xinqiao Si Road, East and West Lake District, Wuhan, Hubei 430040, China

**School of Automation, China University of Geosciences
388 Lumo Road, Hongshan District, Wuhan, Hubei 430074, China

Received:
September 20, 2023
Accepted:
December 21, 2023
Published:
May 20, 2024
Keywords:
integrated energy microgrids, shared energy storage, master-slave game, comprehensive electric heating requirements
Abstract

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

Cite this article as:
K. Kang, Y. Zhang, Y. Miu, Q. Gao, K. Chen, and Z. Zeng, “Study on Master-Slave Game Optimization Operation of Integrated Energy Microgrid Considering PV Output Uncertainty and Shared Energy Storage,” J. Adv. Comput. Intell. Intell. Inform., Vol.28 No.3, pp. 528-540, 2024.
Data files:
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Last updated on Jul. 12, 2024