基于Stackelberg主从博弈多目标模型的综合能源优化调度*

doi:10.11985/2023.03.036

电气工程学报 ›› 2023, Vol. 18 ›› Issue (3): 341-347.doi: 10.11985/2023.03.036

• 新能源发电与电能存储 • 上一篇下一篇

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基于Stackelberg主从博弈多目标模型的综合能源优化调度^*

赵帅¹(), 撖奥洋², 周生奇², 菅学辉², 张智晟¹()

1.青岛大学电气工程学院青岛 266071
2.国网山东省电力公司青岛供电公司青岛 266002

收稿日期:2022-09-24 修回日期:2023-02-14 出版日期:2023-09-25 发布日期:2023-10-23
通讯作者: 张智晟，男，1975年生，博士，教授，博士研究生导师。主要研究方向为电力系统短期负荷预测和经济调度。E-mail：slnzzs@126.com
作者简介:赵帅，男，1995年生，硕士研究生。主要研究方向为综合能源系统经济运行与调度。E-mail：1547484641@qq.com
基金资助:
* 国网山东省电力公司科技资助项目(2020A-022)

Comprehensive Energy Optimal Scheduling Based on Stackelberg Master Slave Game Multi-objective Model

ZHAO Shuai¹(), HAN Aoyang², ZHOU Shengqi², JIAN Xuehui², ZHANG Zhisheng¹()

1. College of Electrical Engineering, Qingdao University, Qingdao 266071
2. Qingdao Power Supply Company, State Grid Shandong Electric Power Company, Qingdao 266002

Received:2022-09-24 Revised:2023-02-14 Online:2023-09-25 Published:2023-10-23

摘要/Abstract

摘要：

为进一步提高综合能源系统的灵活性和经济性，将分布式能源站作为综合能源系统的研究对象，建立了能源站收益模型和用户获能满意度模型，在用户获能满意度模型内部，以用户获取最大综合效能和用户满意度构成多目标函数。在传统博弈模型基础上增加对用户满意度的考虑，将能源站作为决策者，用户作为反应者建立Stackelberg主从博弈模型，并通过天牛须分布式算法对模型进行求解。算例仿真结果表明，Stackelberg博弈在考虑用户满意度和新能源参与下的综合能源系统中有良好的适用性，天牛须分布式算法在对目标优化模型求解具有良好的可行性，最后验证了不同程度新能源接入系统时对系统的影响。

关键词: 综合能源系统优化调度, Stackelberg主从博弈, 多目标模型, 天牛须分布式算法, 分时能源需求

Abstract:

In order to further improve the flexibility and economy of the integrated energy system, the distributed energy station is taken as the research object of the integrated energy system, and the revenue model of the energy station and the user satisfaction model are established. In the user satisfaction model, the multi-objective function is composed of the maximum comprehensive efficiency and user satisfaction. Based on the traditional game model, considering the user satisfaction, the Stackelberg master-slave game model is established with the energy station as the decision maker and the user as the responder, and the model is solved by the beetle antenna search distributed algorithm. The simulation results show that the Stackelberg game has good applicability in the integrated energy system considering the user satisfaction and new energy participation, and the beetle antenna search distributed algorithm has good feasibility in solving the multi-objective optimization model. Finally, the influence of different degrees of new energy access to the system is verified.

Key words: Optimal scheduling of integrated energy system, Stackelberg master slave game, multi-objective model, beetle antenna search distributed algorithm, time sharing energy demand

中图分类号:

TM73

赵帅, 撖奥洋, 周生奇, 菅学辉, 张智晟. 基于Stackelberg主从博弈多目标模型的综合能源优化调度^*[J]. 电气工程学报, 2023, 18(3): 341-347.

ZHAO Shuai, HAN Aoyang, ZHOU Shengqi, JIAN Xuehui, ZHANG Zhisheng. Comprehensive Energy Optimal Scheduling Based on Stackelberg Master Slave Game Multi-objective Model[J]. Journal of Electrical Engineering, 2023, 18(3): 341-347.

图/表 7

图1

图2

表1

表2

三个目标函数变化表"

博弈模型	$ω 1$	$ω 2$	净收益 $L D E S$	目标函数 $W n$	用户满意度 $W m$
传统博弈模型	—	—	5 539.9	135.09	0.77
多目标博弈模型	0.3	0.7	7 091.1	121.91	0.82
	0.5	0. 5	8 595.3	107.91	0.85
	0.7	0.3	10 643	86.78	0.90

表2

图3

图4

图5

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	时间		a	b
电	峰	18:00—23:00	10	120
	谷	1:00—5:00	10	80
	平	23:00—1:00	8	80
	平	5:00—18:00	8	80
热	峰	0:00—8:00	5	100
	谷	13:00—20:00	10	120
	平	8:00—13:00	6	90
	平	20:00—24:00	6	90

基于Stackelberg主从博弈多目标模型的综合能源优化调度^*

Comprehensive Energy Optimal Scheduling Based on Stackelberg Master Slave Game Multi-objective Model

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