Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking
Considering the power demand in high-altitude special environmental areas and the peak-regulation issues in the power system caused by the uncertainties associated with wind and photovoltaic power as well as load, a gas–hydro coordinated peak-shaving method that considers source-load uncertainty is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/18/5/1234 |
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| _version_ | 1850051775185289216 |
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| author | Chong Wu Tong Xu Shenhao Yang Yong Zheng Xiaobin Yan Maoyu Mao Ziyi Jiang Qian Li |
| author_facet | Chong Wu Tong Xu Shenhao Yang Yong Zheng Xiaobin Yan Maoyu Mao Ziyi Jiang Qian Li |
| author_sort | Chong Wu |
| collection | DOAJ |
| description | Considering the power demand in high-altitude special environmental areas and the peak-regulation issues in the power system caused by the uncertainties associated with wind and photovoltaic power as well as load, a gas–hydro coordinated peak-shaving method that considers source-load uncertainty is proposed. Firstly, based on the regulation-related characteristics of hydropower and gas power, a gas−hydro coordinated operation mode is proposed. Secondly, the system operational risk caused by source-load uncertainty is quantified based on the Conditional Value-at-Risk theory. Then, the cost of deep peak shaving in connection with gas-fired power generation is estimated, and a gas−hydro coordinated peak-shaving model considering risk constraints and deep peak shaving is established. Finally, a specific example verifies that the proposed gas−hydro coordinated peak-regulation model can effectively improve the economy of the system. The total system profit increased by 36.03%, indicating that this method enhances the total system profit and achieves better peak-shaving effects. |
| format | Article |
| id | doaj-art-3fcb2efbc9ea495eb742db98ab534049 |
| institution | DOAJ |
| issn | 1996-1073 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-3fcb2efbc9ea495eb742db98ab5340492025-08-20T02:53:02ZengMDPI AGEnergies1996-10732025-03-01185123410.3390/en18051234Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep PeakingChong Wu0Tong Xu1Shenhao Yang2Yong Zheng3Xiaobin Yan4Maoyu Mao5Ziyi Jiang6Qian Li7Energy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, ChinaEnergy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, ChinaEnergy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, ChinaEnergy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, ChinaEnergy Planning and Research Institute, Southwest Electric Power Design Institute Co., Ltd., China Power Engineering Consulting Group, Chengdu 610500, ChinaSchool of Electrical and Information, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Electrical and Information, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Electrical and Information, Southwest Petroleum University, Chengdu 610500, ChinaConsidering the power demand in high-altitude special environmental areas and the peak-regulation issues in the power system caused by the uncertainties associated with wind and photovoltaic power as well as load, a gas–hydro coordinated peak-shaving method that considers source-load uncertainty is proposed. Firstly, based on the regulation-related characteristics of hydropower and gas power, a gas−hydro coordinated operation mode is proposed. Secondly, the system operational risk caused by source-load uncertainty is quantified based on the Conditional Value-at-Risk theory. Then, the cost of deep peak shaving in connection with gas-fired power generation is estimated, and a gas−hydro coordinated peak-shaving model considering risk constraints and deep peak shaving is established. Finally, a specific example verifies that the proposed gas−hydro coordinated peak-regulation model can effectively improve the economy of the system. The total system profit increased by 36.03%, indicating that this method enhances the total system profit and achieves better peak-shaving effects.https://www.mdpi.com/1996-1073/18/5/1234source-load uncertaintyoperation riskgas−hydropower coordinated operationpeak shaving |
| spellingShingle | Chong Wu Tong Xu Shenhao Yang Yong Zheng Xiaobin Yan Maoyu Mao Ziyi Jiang Qian Li Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking Energies source-load uncertainty operation risk gas−hydropower coordinated operation peak shaving |
| title | Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking |
| title_full | Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking |
| title_fullStr | Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking |
| title_full_unstemmed | Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking |
| title_short | Gas−Hydro Coordinated Peaking Considering Source-Load Uncertainty and Deep Peaking |
| title_sort | gas hydro coordinated peaking considering source load uncertainty and deep peaking |
| topic | source-load uncertainty operation risk gas−hydropower coordinated operation peak shaving |
| url | https://www.mdpi.com/1996-1073/18/5/1234 |
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