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

doi:10.11985/2023.03.036

Abstract

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

CLC Number:

TM73

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.

Figures/Tables 7

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

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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