Multi-Objective Co-Operative Game-Based Optimization for Park-Level Integrated Energy System Based on Exergy-Economic Analysis

Lili Mo, Zeyu Deng, Haoyong Chen () and Junkun Lan
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Lili Mo: Architectural Design Research Institute of SCUT, South China University of Technology, Guangzhou 510000, China
Zeyu Deng: School of Electric Power, South China University of Technology, Guangzhou 510641, China
Haoyong Chen: School of Electric Power, South China University of Technology, Guangzhou 510641, China
Junkun Lan: School of Electric Power, South China University of Technology, Guangzhou 510641, China

Energies, 2023, vol. 16, issue 24, 1-19

Abstract: The park-level integrated energy system (PIES) can realize the gradient utilization of energy and improve the efficiency of energy utilization through the coupling between multiple types of energy sub-networks. However, energy analysis and exergy analysis cannot be used to evaluate the economics of PIES. In addition, conflicts of interest among integrated energy suppliers make the economic scheduling of the PIES more difficult. In this paper, we propose a multi-objective collaborative game-based optimization method based on exergy economics, in which the introduction of exergy economics realizes the economic assessment of any link within the PIES, and the optimization model constructed based on the potential game solves the problem of conflict of interest among multiple energy suppliers and improves the benefits of each supplier. Finally, taking a PIES in Guangzhou as an example, the rationality of the optimization scheme proposed in this paper is demonstrated by comparing it with the classical optimization scheme.

Keywords: park-level integrated energy system; exergy-economics analysis; potential game; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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