An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty
To enhance the flexibility regulation capability of new-type power systems and address the volatility and uncertainty brought by large-scale renewable energy integration, an optimal scheduling strategy for a wind-solar-hydro-pumped storage complementary system considering source-load uncertainty is...
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2025-04-01
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| Series: | Zhejiang dianli |
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| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=923dbe1a-aa82-4bc3-9653-e02af83b8ec4 |
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| _version_ | 1849722065425268736 |
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| author | HE Yingjing WANG Xiang DAN Yangqing CHEN Qingyue LI Haibo LU Zongxiang |
| author_facet | HE Yingjing WANG Xiang DAN Yangqing CHEN Qingyue LI Haibo LU Zongxiang |
| author_sort | HE Yingjing |
| collection | DOAJ |
| description | To enhance the flexibility regulation capability of new-type power systems and address the volatility and uncertainty brought by large-scale renewable energy integration, an optimal scheduling strategy for a wind-solar-hydro-pumped storage complementary system considering source-load uncertainty is proposed. An optimal scheduling model is established with the objective of maximizing the combined generation of hydropower stations and pumped storage power stations, and a quantitative flexibility regulation capability index is introduced. Production simulations are performed for four typical daily scenarios with seasonal variations and one special extreme scenario, obtained using K-means clustering. The flexibility regulation capability of hydropower and pumped storage is analyzed. The results show that the strategy can reasonably allocate the generation output, thereby achieving optimal scheduling. |
| format | Article |
| id | doaj-art-c2fe04207e4a446e83571c80ce15e2df |
| institution | DOAJ |
| issn | 1007-1881 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj-art-c2fe04207e4a446e83571c80ce15e2df2025-08-20T03:11:26Zzhozhejiang electric powerZhejiang dianli1007-18812025-04-0144410311110.19585/j.zjdl.2025040111007-1881(2025)04-0103-09An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertaintyHE Yingjing0WANG Xiang1DAN Yangqing2CHEN Qingyue3LI Haibo4LU Zongxiang5State Grid Zhejiang Economic and Technology Research Institute, Hangzhou 310008, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaState Grid Zhejiang Economic and Technology Research Institute, Hangzhou 310008, ChinaState Grid Zhejiang Economic and Technology Research Institute, Hangzhou 310008, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaDepartment of Electrical Engineering, Tsinghua University, Beijing 100084, ChinaTo enhance the flexibility regulation capability of new-type power systems and address the volatility and uncertainty brought by large-scale renewable energy integration, an optimal scheduling strategy for a wind-solar-hydro-pumped storage complementary system considering source-load uncertainty is proposed. An optimal scheduling model is established with the objective of maximizing the combined generation of hydropower stations and pumped storage power stations, and a quantitative flexibility regulation capability index is introduced. Production simulations are performed for four typical daily scenarios with seasonal variations and one special extreme scenario, obtained using K-means clustering. The flexibility regulation capability of hydropower and pumped storage is analyzed. The results show that the strategy can reasonably allocate the generation output, thereby achieving optimal scheduling.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=923dbe1a-aa82-4bc3-9653-e02af83b8ec4regulation capabilitypumped storagesource-load uncertaintyk-meanscascade hydropower |
| spellingShingle | HE Yingjing WANG Xiang DAN Yangqing CHEN Qingyue LI Haibo LU Zongxiang An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty Zhejiang dianli regulation capability pumped storage source-load uncertainty k-means cascade hydropower |
| title | An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty |
| title_full | An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty |
| title_fullStr | An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty |
| title_full_unstemmed | An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty |
| title_short | An optimal scheduling strategy for a wind-solar-hydropower-pumped storage complementary system considering source-load uncertainty |
| title_sort | optimal scheduling strategy for a wind solar hydropower pumped storage complementary system considering source load uncertainty |
| topic | regulation capability pumped storage source-load uncertainty k-means cascade hydropower |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=923dbe1a-aa82-4bc3-9653-e02af83b8ec4 |
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