Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability
In the context of “carbon peaking and carbon neutrality”, the large-scale integration and consumption of wind and solar resources is an inevitable trend in future energy development. However, as the capacity of wind and solar power integration increases, the power system also requires more flexible...
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Editorial Office of Journal of Shanghai Jiao Tong University
2025-07-01
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| Series: | Shanghai Jiaotong Daxue xuebao |
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| Online Access: | https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-7-889.shtml |
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| author | XIA Jinlei, TANG Yijie, WANG Lingling, JIANG Chuanwen, GU Jiu |
| author_facet | XIA Jinlei, TANG Yijie, WANG Lingling, JIANG Chuanwen, GU Jiu |
| author_sort | XIA Jinlei, TANG Yijie, WANG Lingling, JIANG Chuanwen, GU Jiu |
| collection | DOAJ |
| description | In the context of “carbon peaking and carbon neutrality”, the large-scale integration and consumption of wind and solar resources is an inevitable trend in future energy development. However, as the capacity of wind and solar power integration increases, the power system also requires more flexible resources to ensure secure operation. To investigate the flexible regulation of hydropower in the system, this study focuses on the downstream stations of the hydro-wind-solar-pumped storage clean energy base in the Yalong River Basin. Considering its flexible regulation capabilities, the study conducts day-ahead optimized operational strategy research for the complementary system. First, to address the challenges of site selection and high costs associated with independent pumped storage, steady-state models for hybrid pumped storage stations in a cascade hydro-wind-solar-pumped storage system are established. To overcome the limitations of traditional models such as low predictive accuracy and the subjective selection of long short-term memory (LSTM) hyperparameters, the particle swarm optimization (PSO) algorithm is used to optimize the parameters of LSTM and the optimized LSTM model is then used to forecast the output of wind and solar power. Next, in order to fully harness the flexible regulation potential of the complementary system, a multi-objective optimal dispatching model is developed considering the economic benefits and flexible regulation margin of the complementary system in the day-ahead time. The normal boundary intersection (NBI) method is employed to solve the multi-objective problem, which can obtain the Pareto optimal solutions with an even distribution. Finally, case studies are conducted based on the actual conditions of the Yalong River Basin. By analyzing different scenarios, the effectiveness of the proposed model and the supportive role of pumped storage in enhancing system flexibility are validated. The results demonstrate that the proposed approach not only balances system profits but also fully exploits the flexible regulation potential of the system, ensuring stable operation of the system. |
| format | Article |
| id | doaj-art-00c95f4ccbf44bc4871d8b7e1618d75c |
| institution | Matheson Library |
| issn | 1006-2467 |
| language | zho |
| publishDate | 2025-07-01 |
| publisher | Editorial Office of Journal of Shanghai Jiao Tong University |
| record_format | Article |
| series | Shanghai Jiaotong Daxue xuebao |
| spelling | doaj-art-00c95f4ccbf44bc4871d8b7e1618d75c2025-07-22T09:10:24ZzhoEditorial Office of Journal of Shanghai Jiao Tong UniversityShanghai Jiaotong Daxue xuebao1006-24672025-07-0159788990010.16183/j.cnki.jsjtu.2023.419Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation AbilityXIA Jinlei, TANG Yijie, WANG Lingling, JIANG Chuanwen, GU Jiu01. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China;2. Yalong River Hydropower Development Company, Ltd., Chengdu 610051, ChinaIn the context of “carbon peaking and carbon neutrality”, the large-scale integration and consumption of wind and solar resources is an inevitable trend in future energy development. However, as the capacity of wind and solar power integration increases, the power system also requires more flexible resources to ensure secure operation. To investigate the flexible regulation of hydropower in the system, this study focuses on the downstream stations of the hydro-wind-solar-pumped storage clean energy base in the Yalong River Basin. Considering its flexible regulation capabilities, the study conducts day-ahead optimized operational strategy research for the complementary system. First, to address the challenges of site selection and high costs associated with independent pumped storage, steady-state models for hybrid pumped storage stations in a cascade hydro-wind-solar-pumped storage system are established. To overcome the limitations of traditional models such as low predictive accuracy and the subjective selection of long short-term memory (LSTM) hyperparameters, the particle swarm optimization (PSO) algorithm is used to optimize the parameters of LSTM and the optimized LSTM model is then used to forecast the output of wind and solar power. Next, in order to fully harness the flexible regulation potential of the complementary system, a multi-objective optimal dispatching model is developed considering the economic benefits and flexible regulation margin of the complementary system in the day-ahead time. The normal boundary intersection (NBI) method is employed to solve the multi-objective problem, which can obtain the Pareto optimal solutions with an even distribution. Finally, case studies are conducted based on the actual conditions of the Yalong River Basin. By analyzing different scenarios, the effectiveness of the proposed model and the supportive role of pumped storage in enhancing system flexibility are validated. The results demonstrate that the proposed approach not only balances system profits but also fully exploits the flexible regulation potential of the system, ensuring stable operation of the system.https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-7-889.shtmllarge-scale wind-solar resourcescascade hydro-wind-solar-pumped storageflexible regulation abilityoptimal operation |
| spellingShingle | XIA Jinlei, TANG Yijie, WANG Lingling, JIANG Chuanwen, GU Jiu Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability Shanghai Jiaotong Daxue xuebao large-scale wind-solar resources cascade hydro-wind-solar-pumped storage flexible regulation ability optimal operation |
| title | Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability |
| title_full | Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability |
| title_fullStr | Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability |
| title_full_unstemmed | Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability |
| title_short | Optimal Operation Strategy of Cascade Hydro-Wind-Solar-Pumped Storage Complementary System Considering Flexible Regulation Ability |
| title_sort | optimal operation strategy of cascade hydro wind solar pumped storage complementary system considering flexible regulation ability |
| topic | large-scale wind-solar resources cascade hydro-wind-solar-pumped storage flexible regulation ability optimal operation |
| url | https://xuebao.sjtu.edu.cn/article/2025/1006-2467/1006-2467-59-7-889.shtml |
| work_keys_str_mv | AT xiajinleitangyijiewanglinglingjiangchuanwengujiu optimaloperationstrategyofcascadehydrowindsolarpumpedstoragecomplementarysystemconsideringflexibleregulationability |