Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects
The time delay in cascade hydropower stations refers to the time required for water to travel from the upstream reservoir to the downstream reservoir. Although some studies consider time delays in hydro-wind-photovoltaic hybrid system models, comprehensive research on their impacts and mitigation st...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-08-01
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| Series: | International Journal of Electrical Power & Energy Systems |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0142061525003485 |
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| author | Zhiyuan Wu Haizheng Wang Guohua Fang Jian Ye David Z. Zhu Xianfeng Huang |
| author_facet | Zhiyuan Wu Haizheng Wang Guohua Fang Jian Ye David Z. Zhu Xianfeng Huang |
| author_sort | Zhiyuan Wu |
| collection | DOAJ |
| description | The time delay in cascade hydropower stations refers to the time required for water to travel from the upstream reservoir to the downstream reservoir. Although some studies consider time delays in hydro-wind-photovoltaic hybrid system models, comprehensive research on their impacts and mitigation strategies remains limited. These delays hinder the joint optimization of hydropower, wind, and photovoltaic resources, reducing system benefits and increasing operational risks. This phenomenon is referred to as the time delay effect. This study proposes a day-ahead planning optimization framework to mitigate the time delay effect and improve system benefits and reliability under multiple uncertainties. This framework incorporates joint and updated optimizations to address challenges posed by the time delay effect. A case study on the Yalong River Basin hydro-wind-photovoltaic system shows that the proposed framework enhances generation benefits by 2.79% over traditional methods and reduces the power shortage rate by 43.19%. Additional multi-objective scheduling experiments assess the framework’s risk control capabilities and the variations in scheduling across different schemes. Based on these analyses, an improvement strategy for this system is developed and validated to significantly reduce power shortage rates while minimizing revenue losses. |
| format | Article |
| id | doaj-art-38b995bb7d5c4d17b7dc80bc501bdd5c |
| institution | OA Journals |
| issn | 0142-0615 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Electrical Power & Energy Systems |
| spelling | doaj-art-38b995bb7d5c4d17b7dc80bc501bdd5c2025-08-20T02:36:12ZengElsevierInternational Journal of Electrical Power & Energy Systems0142-06152025-08-0116911080010.1016/j.ijepes.2025.110800Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effectsZhiyuan Wu0Haizheng Wang1Guohua Fang2Jian Ye3David Z. Zhu4Xianfeng Huang5College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, P.R. ChinaChina Renewable Energy Engineering Institute, Beijing 100011, P.R. ChinaCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, P.R. China; Corresponding author at: College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, P.R. China.Water Conservancy Bureau of Jiangsu Province, Nanjing 210029, P.R. ChinaDepartment of Civil and Environmental Engineering, University of Alberta, Edmonton T6G 2R3, CanadaCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, P.R. ChinaThe time delay in cascade hydropower stations refers to the time required for water to travel from the upstream reservoir to the downstream reservoir. Although some studies consider time delays in hydro-wind-photovoltaic hybrid system models, comprehensive research on their impacts and mitigation strategies remains limited. These delays hinder the joint optimization of hydropower, wind, and photovoltaic resources, reducing system benefits and increasing operational risks. This phenomenon is referred to as the time delay effect. This study proposes a day-ahead planning optimization framework to mitigate the time delay effect and improve system benefits and reliability under multiple uncertainties. This framework incorporates joint and updated optimizations to address challenges posed by the time delay effect. A case study on the Yalong River Basin hydro-wind-photovoltaic system shows that the proposed framework enhances generation benefits by 2.79% over traditional methods and reduces the power shortage rate by 43.19%. Additional multi-objective scheduling experiments assess the framework’s risk control capabilities and the variations in scheduling across different schemes. Based on these analyses, an improvement strategy for this system is developed and validated to significantly reduce power shortage rates while minimizing revenue losses.http://www.sciencedirect.com/science/article/pii/S0142061525003485Hydro-wind-photovoltaic hybrid systemsDay-ahead planningReservoir schedulingTime delay effects |
| spellingShingle | Zhiyuan Wu Haizheng Wang Guohua Fang Jian Ye David Z. Zhu Xianfeng Huang Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects International Journal of Electrical Power & Energy Systems Hydro-wind-photovoltaic hybrid systems Day-ahead planning Reservoir scheduling Time delay effects |
| title | Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects |
| title_full | Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects |
| title_fullStr | Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects |
| title_full_unstemmed | Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects |
| title_short | Day-ahead planning optimization framework for cascaded hydro-wind-photovoltaic hybrid systems considering time delay effects |
| title_sort | day ahead planning optimization framework for cascaded hydro wind photovoltaic hybrid systems considering time delay effects |
| topic | Hydro-wind-photovoltaic hybrid systems Day-ahead planning Reservoir scheduling Time delay effects |
| url | http://www.sciencedirect.com/science/article/pii/S0142061525003485 |
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