Optimal Scheduling of Power Systems Using Asymmetric Nash Cooperative Game Based on Bankruptcy Theory Under Extreme Weather Conditions
In recent years, large-scale power outages due to climate change have occurred frequently worldwide, causing significant economic losses and severe social impacts. Against the backdrop of extremely cold weather in northeastern China. This paper presents a new operating model using asymmetric Nash co...
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10948441/ |
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| author | Yanbo Zhan Zhigang Lu Liangce He Jiangfeng Zhang Xueping Li Xiaoqiang Guo |
| author_facet | Yanbo Zhan Zhigang Lu Liangce He Jiangfeng Zhang Xueping Li Xiaoqiang Guo |
| author_sort | Yanbo Zhan |
| collection | DOAJ |
| description | In recent years, large-scale power outages due to climate change have occurred frequently worldwide, causing significant economic losses and severe social impacts. Against the backdrop of extremely cold weather in northeastern China. This paper presents a new operating model using asymmetric Nash cooperative game theory and resource bankruptcy theory to minimize power system operating costs under extreme weather conditions. Firstly, a fair power allocation model based on the principle of minimum variance is used to determine the boundary conditions of power resource allocation. Secondly, an asymmetric Nash cooperative game model based on bankruptcy theory is constructed for two load response modes. Then, a comprehensive bargaining weight calculation method is proposed for the negotiation of power resource allocation among various types of users by taking into account the actual demands of various users and economic factors. According to the load response game, a cost minimization power system scheduling model is derived by combining thermal power, wind power, photovoltaic power, and pumped storage. Four scenarios are investigated in the case study. The results show that the proposed model can improve fairness and satisfaction while reducing load response costs. |
| format | Article |
| id | doaj-art-005a7f9b8e8d4e39bcfc68a1eef0ab16 |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-005a7f9b8e8d4e39bcfc68a1eef0ab162025-08-20T02:18:27ZengIEEEIEEE Access2169-35362025-01-0113656176562910.1109/ACCESS.2025.355773510948441Optimal Scheduling of Power Systems Using Asymmetric Nash Cooperative Game Based on Bankruptcy Theory Under Extreme Weather ConditionsYanbo Zhan0Zhigang Lu1https://orcid.org/0000-0003-2777-2193Liangce He2Jiangfeng Zhang3https://orcid.org/0000-0003-2616-6722Xueping Li4https://orcid.org/0000-0003-3047-367XXiaoqiang Guo5https://orcid.org/0000-0002-9375-448XKey Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao, Hebei, ChinaKey Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao, Hebei, ChinaKey Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao, Hebei, ChinaDepartment of Automotive Engineering, Clemson University, Greenville, SC, USAKey Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao, Hebei, ChinaKey Laboratory of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao, Hebei, ChinaIn recent years, large-scale power outages due to climate change have occurred frequently worldwide, causing significant economic losses and severe social impacts. Against the backdrop of extremely cold weather in northeastern China. This paper presents a new operating model using asymmetric Nash cooperative game theory and resource bankruptcy theory to minimize power system operating costs under extreme weather conditions. Firstly, a fair power allocation model based on the principle of minimum variance is used to determine the boundary conditions of power resource allocation. Secondly, an asymmetric Nash cooperative game model based on bankruptcy theory is constructed for two load response modes. Then, a comprehensive bargaining weight calculation method is proposed for the negotiation of power resource allocation among various types of users by taking into account the actual demands of various users and economic factors. According to the load response game, a cost minimization power system scheduling model is derived by combining thermal power, wind power, photovoltaic power, and pumped storage. Four scenarios are investigated in the case study. The results show that the proposed model can improve fairness and satisfaction while reducing load response costs.https://ieeexplore.ieee.org/document/10948441/Extreme weatherbankruptcy theoryasymmetric Nash cooperative gamesoptimized scheduling |
| spellingShingle | Yanbo Zhan Zhigang Lu Liangce He Jiangfeng Zhang Xueping Li Xiaoqiang Guo Optimal Scheduling of Power Systems Using Asymmetric Nash Cooperative Game Based on Bankruptcy Theory Under Extreme Weather Conditions IEEE Access Extreme weather bankruptcy theory asymmetric Nash cooperative games optimized scheduling |
| title | Optimal Scheduling of Power Systems Using Asymmetric Nash Cooperative Game Based on Bankruptcy Theory Under Extreme Weather Conditions |
| title_full | Optimal Scheduling of Power Systems Using Asymmetric Nash Cooperative Game Based on Bankruptcy Theory Under Extreme Weather Conditions |
| title_fullStr | Optimal Scheduling of Power Systems Using Asymmetric Nash Cooperative Game Based on Bankruptcy Theory Under Extreme Weather Conditions |
| title_full_unstemmed | Optimal Scheduling of Power Systems Using Asymmetric Nash Cooperative Game Based on Bankruptcy Theory Under Extreme Weather Conditions |
| title_short | Optimal Scheduling of Power Systems Using Asymmetric Nash Cooperative Game Based on Bankruptcy Theory Under Extreme Weather Conditions |
| title_sort | optimal scheduling of power systems using asymmetric nash cooperative game based on bankruptcy theory under extreme weather conditions |
| topic | Extreme weather bankruptcy theory asymmetric Nash cooperative games optimized scheduling |
| url | https://ieeexplore.ieee.org/document/10948441/ |
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