Non-Cooperative Game Based Optimal Dispatch Model for Integrated Energy Systems

Jiandong Duan; Qian Sun; Chen Wu; Yao Yang; Siyu Tu

doi:10.17775/CSEEJPES.2020.06460

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Non-Cooperative Game Based Optimal Dispatch Model for Integrated Energy Systems

Regular Papers | 更新时间：2026-10-15

- Non-Cooperative Game Based Optimal Dispatch Model for Integrated Energy Systems
- Non-Cooperative Game Based Optimal Dispatch Model for Integrated Energy Systems
- 中国电机工程学会电力与能源系统学报(英文) 2024年10卷第3期页码：1195-1207
- 作者机构：
  
  School of Electrical Engineering, Xi'an University of Technology,Xi'an,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2020.06460
  中图分类号：
- 纸质出版：2024-05-01
- 稿件说明：
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Jiandong Duan, Qian Sun, Chen Wu, 等. Non-Cooperative Game Based Optimal Dispatch Model for Integrated Energy Systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(3):1195-1207.

Jiandong Duan, Qian Sun, Chen Wu, et al. Non-Cooperative Game Based Optimal Dispatch Model for Integrated Energy Systems[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1195-1207.
Jiandong Duan, Qian Sun, Chen Wu, 等. Non-Cooperative Game Based Optimal Dispatch Model for Integrated Energy Systems[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(3):1195-1207. DOI： 10.17775/CSEEJPES.2020.06460.

Jiandong Duan, Qian Sun, Chen Wu, et al. Non-Cooperative Game Based Optimal Dispatch Model for Integrated Energy Systems[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1195-1207. DOI： 10.17775/CSEEJPES.2020.06460.

摘要

Abstract

In order to improve the efficiency of energy utilization

the integrated energy system (IES) has emerged. The IES typically acts as a whole system during operations

the subsystems are separated

and the interests of each system are independent. In this paper

considering the relationship between the various energy systems

non-cooperative game theory is used to establish the optimal dispatch model. The proposed model mainly relies on the relationship between the cooperation and competition among various subsystems to obtain the maximum benefit they can accept. Furthermore

the basic definition is combined with the particle swarm optimization algorithm to solve the problem. The results show that the optimization strategy proposed in this paper can operate safely and reliably

and effectively distribute the benefits of each energy system.

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