Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage
Abstract In the context of renewable energy integration, shared energy storage (SES) offers a promising solution for improving the operational flexibility and economic performance of renewable energy stations (RESs). This paper proposes an improved nucleolus method-based rolling optimization operati...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2025-08-01
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| Series: | Sustainable Energy Research |
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| Online Access: | https://doi.org/10.1186/s40807-025-00191-x |
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| _version_ | 1849763967948292096 |
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| author | Gang Li Bingyu Sang Wei Tang Kecheng Li Bin Xu Zhihao Yang Wei Ma Yibin Tao |
| author_facet | Gang Li Bingyu Sang Wei Tang Kecheng Li Bin Xu Zhihao Yang Wei Ma Yibin Tao |
| author_sort | Gang Li |
| collection | DOAJ |
| description | Abstract In the context of renewable energy integration, shared energy storage (SES) offers a promising solution for improving the operational flexibility and economic performance of renewable energy stations (RESs). This paper proposes an improved nucleolus method-based rolling optimization operation method for RESs and SES to address operational uncertainties and ensure fair revenue distribution among RESs. The proposed method comprises a profit maximization model for the cooperative alliance that dynamically adjusts the RESs’ bidding strategies in both day-ahead and real-time energy markets using a receding horizon control approach, as well as an improved nucleolus-based revenue allocation model enhanced with constraint generation techniques to ensure fair, stable and efficient profit sharing among large-scale alliance members. This methodology effectively addresses uncertainties in renewable energy output, market prices and forecast deviations, while maintaining system stability and fairness in cost-sharing. Case study results show that the proposed method improves overall alliance revenue, reduces deviation penalty costs, and significantly decreases computation time, thereby underscoring its scalability and practical feasibility for large-scale RES alliances. |
| format | Article |
| id | doaj-art-9e6daa95e5af4ee6a95360ad9200fdc8 |
| institution | DOAJ |
| issn | 2731-9237 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Sustainable Energy Research |
| spelling | doaj-art-9e6daa95e5af4ee6a95360ad9200fdc82025-08-20T03:05:15ZengSpringerOpenSustainable Energy Research2731-92372025-08-0112111710.1186/s40807-025-00191-xImproved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storageGang Li0Bingyu Sang1Wei Tang2Kecheng Li3Bin Xu4Zhihao Yang5Wei Ma6Yibin Tao7State Grid Anhui Electric Power Research InstituteChina Electric Power Research InstituteState Grid Anhui Electric Power Research InstituteChina Electric Power Research InstituteState Grid Anhui Electric Power Research InstituteChina Electric Power Research InstituteState Grid Anhui Electric Power Research InstituteChina Electric Power Research InstituteAbstract In the context of renewable energy integration, shared energy storage (SES) offers a promising solution for improving the operational flexibility and economic performance of renewable energy stations (RESs). This paper proposes an improved nucleolus method-based rolling optimization operation method for RESs and SES to address operational uncertainties and ensure fair revenue distribution among RESs. The proposed method comprises a profit maximization model for the cooperative alliance that dynamically adjusts the RESs’ bidding strategies in both day-ahead and real-time energy markets using a receding horizon control approach, as well as an improved nucleolus-based revenue allocation model enhanced with constraint generation techniques to ensure fair, stable and efficient profit sharing among large-scale alliance members. This methodology effectively addresses uncertainties in renewable energy output, market prices and forecast deviations, while maintaining system stability and fairness in cost-sharing. Case study results show that the proposed method improves overall alliance revenue, reduces deviation penalty costs, and significantly decreases computation time, thereby underscoring its scalability and practical feasibility for large-scale RES alliances.https://doi.org/10.1186/s40807-025-00191-xShared energy storageRenewable energy stationCooperative gameNucleolus methodRolling optimization |
| spellingShingle | Gang Li Bingyu Sang Wei Tang Kecheng Li Bin Xu Zhihao Yang Wei Ma Yibin Tao Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage Sustainable Energy Research Shared energy storage Renewable energy station Cooperative game Nucleolus method Rolling optimization |
| title | Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage |
| title_full | Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage |
| title_fullStr | Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage |
| title_full_unstemmed | Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage |
| title_short | Improved nucleolus method-based rolling optimization operation for renewable energy stations and shared energy storage |
| title_sort | improved nucleolus method based rolling optimization operation for renewable energy stations and shared energy storage |
| topic | Shared energy storage Renewable energy station Cooperative game Nucleolus method Rolling optimization |
| url | https://doi.org/10.1186/s40807-025-00191-x |
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