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Regular Paper | Open Access

Hierarchical Game Approach for Optimization of Regional Integrated Energy System Clusters Considering Bounded Rationality

Lei Dong1, Mengting Li1, Junjie Hu1( ), Sheng Chen2, Tao Zhang3, Xinying Wang2, Tianjiao Pu2
school of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
department of Artificial Intelligence Application Research, China Electric Power Research Institute, Beijing 100192, China
Key Laboratory of Smart Grid of Ministry of Education, Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality, Tianjin University, Tianjin 300072, China
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Abstract

Regional integrated energy system (RIES) cluster, i.e., multi-source integration and multi-region coordination, is an effective approach for increasing energy utilization efficiency. The hierarchical architecture and limited information sharing of RIES cluster make it difficult for traditional game theory to accurately describe their game behavior. Thus, a hierarchical game approach considering bounded rationality is proposed in this paper to balance the interests of optimizing RIES cluster under privacy protection. A Stackelberg game with the cluster operator (CO) as the leader and multiple RIES as followers is developed to simultaneously optimize leader benefit and RIES utilization efficiency. Concurrently, a slight altruistic function is introduced to simulate the game behavior of each RIES agent on whether to cooperate or not. By introducing an evolutionary game based on bounded rationality in the lower layer, the flaw of the assumption that participants are completely rational can be avoided. Specially, for autonomous optimal dispatching, each RIES is treated as a prosumer, flexibly switching its market participation role to achieve cluster coordination optimization. Case studies on a RIES cluster verify effectiveness of the proposed approach.

Keywords

Bounded rationalitycoordinated optimizationevolutionary gameregional integrated energy systemstackelberg game

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CSEE Journal of Power and Energy Systems
Volume 10 Issue 1,
January 2024
Pages 302-313
DOI: 10.17775/CSEEJPES.2023.02700
Cite this article:
Dong L, Li M, Hu J, et al. Hierarchical Game Approach for Optimization of Regional Integrated Energy System Clusters Considering Bounded Rationality. CSEE Journal of Power and Energy Systems, 2024, 10(1): 302-313. https://doi.org/10.17775/CSEEJPES.2023.02700

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Received: 06 April 2023
Revised: 06 April 2023
Accepted: 14 April 2023
Published: 12 May 2023
© 2023 CSEE.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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