Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness Empowerment
The optimal dispatching of renewable energy power stations is particularly crucial in scenarios where the stations face energy rationing due to the large proportion of renewable energy integrated into the power system. In order to achieve safe, economical, and fair scheduling of renewable energy pow...
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2024-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/23/6146 |
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| author | Zhen Zhang Wenjun Xian Weijun Tan Jinghua Li Xiaofeng Liu |
| author_facet | Zhen Zhang Wenjun Xian Weijun Tan Jinghua Li Xiaofeng Liu |
| author_sort | Zhen Zhang |
| collection | DOAJ |
| description | The optimal dispatching of renewable energy power stations is particularly crucial in scenarios where the stations face energy rationing due to the large proportion of renewable energy integrated into the power system. In order to achieve safe, economical, and fair scheduling of renewable energy power stations, this paper proposes a two-stage scheduling framework. Specifically, in the initial stage, the maximum consumption space of renewable energy for the system can be optimized by optimizing the formulated safe-economic dispatch model. In the second stage, the fair allocation mechanism of renewable energy power stations is proposed based on the game-fairness empowerment approach. In order to obtain a comprehensive evaluation of renewable energy power stations, an evaluation index system is constructed considering equipment performance, output characteristics, reliability, flexibility, and economy. Subsequently, the cooperative game weighting method is proposed to rank the performance of renewable energy power stations as the basis for fair dispatching. Simulation results show that the proposed scheduling strategy can effectively ensure the priority of renewable energy power stations based on their comprehensive ranking, and improve the safety, economy, and fairness of power station participation in scheduling. |
| format | Article |
| id | doaj-art-012b16c786e24a5a8ff9fde3b24e0e00 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-012b16c786e24a5a8ff9fde3b24e0e002024-12-13T16:26:11ZengMDPI AGEnergies1996-10732024-12-011723614610.3390/en17236146Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness EmpowermentZhen Zhang0Wenjun Xian1Weijun Tan2Jinghua Li3Xiaofeng Liu4Qinghai Electric Power Dispatching Control Center, Xining 810001, ChinaQinghai Electric Power Dispatching Control Center, Xining 810001, ChinaQinghai Electric Power Dispatching Control Center, Xining 810001, ChinaQinghai Electric Power Dispatching Control Center, Xining 810001, ChinaSchool of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210000, ChinaThe optimal dispatching of renewable energy power stations is particularly crucial in scenarios where the stations face energy rationing due to the large proportion of renewable energy integrated into the power system. In order to achieve safe, economical, and fair scheduling of renewable energy power stations, this paper proposes a two-stage scheduling framework. Specifically, in the initial stage, the maximum consumption space of renewable energy for the system can be optimized by optimizing the formulated safe-economic dispatch model. In the second stage, the fair allocation mechanism of renewable energy power stations is proposed based on the game-fairness empowerment approach. In order to obtain a comprehensive evaluation of renewable energy power stations, an evaluation index system is constructed considering equipment performance, output characteristics, reliability, flexibility, and economy. Subsequently, the cooperative game weighting method is proposed to rank the performance of renewable energy power stations as the basis for fair dispatching. Simulation results show that the proposed scheduling strategy can effectively ensure the priority of renewable energy power stations based on their comprehensive ranking, and improve the safety, economy, and fairness of power station participation in scheduling.https://www.mdpi.com/1996-1073/17/23/6146renewable energyfair dispatchingsafe-economic dispatchingcooperative gameevaluation index |
| spellingShingle | Zhen Zhang Wenjun Xian Weijun Tan Jinghua Li Xiaofeng Liu Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness Empowerment Energies renewable energy fair dispatching safe-economic dispatching cooperative game evaluation index |
| title | Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness Empowerment |
| title_full | Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness Empowerment |
| title_fullStr | Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness Empowerment |
| title_full_unstemmed | Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness Empowerment |
| title_short | Research on Safe-Economic Dispatch Strategy for Renewable Energy Power Stations Based on Game-Fairness Empowerment |
| title_sort | research on safe economic dispatch strategy for renewable energy power stations based on game fairness empowerment |
| topic | renewable energy fair dispatching safe-economic dispatching cooperative game evaluation index |
| url | https://www.mdpi.com/1996-1073/17/23/6146 |
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