Game Optimal Scheduling Among Multiple Energy Hubs Considering Environmental Cost with Incomplete Information

被引：0
|
作者：
Huang Y. [1 ]
Wu S. [1 ]
Xu J. [1 ]
Gu Z. [1 ]
Li J. [1 ]
Wang D. [1 ]
机构：
[1] School of Control and Computer Engineering, North China Electric Power University, Baoding
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2022年 / 46卷 / 20期
关键词：
Bayesian game; energy hub; environmental cost; scheduling optimization; thermoelectric decoupling;
D O I：
10.7500/AEPS20210730007
中图分类号：
学科分类号：
摘要：
The incomplete information and competitive constraints among multiple energy hubs (EHs) in the integrated energy system (IES) bring challenges to the optimal scheduling of the system economy and environment. To solve this problem, an IES optimal scheduling model based on economic and environmental coordination is established, and the constraint relationship among multiple EHs under a dynamic price mechanism is analyzed. The decision game method is used to optimize the scheduling of multiple EHs. Aiming at the incomplete information of the combined heat and power operation mode among EHs, the Bayesian game is used to model the incomplete information game relationship among multiple EHs, and the game algorithm description is given to obtain the Bayesian game optimal scheduling scheme among multiple EHs considering the environmental cost. The simulation analysis shows that the economic and environmental optimal scheduling scheme for the IES obtained by the game model among multiple EHs with incomplete information is close to the actual situation, which can improve economic benefits and take into account the environmental pollution problem. The scheme is reasonable and feasible. © 2022 Automation of Electric Power Systems Press. All rights reserved.
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页码：109 / 118
页数：9
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