A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets
Abstract This paper proposes a multi‐level coordinated scheduling strategy for shared energy storage systems (SESS) under electricity spot and ancillary service markets to maximize the overall operational profit. At the upper level, an optimal day‐ahead bidding model is formulated to allocate optima...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-12-01
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| Series: | IET Renewable Power Generation |
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| Online Access: | https://doi.org/10.1049/rpg2.13069 |
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| author | Qing Dou Xiang Gao Yuheng Wu Yu Chen Rui Xie Jialin Chen |
| author_facet | Qing Dou Xiang Gao Yuheng Wu Yu Chen Rui Xie Jialin Chen |
| author_sort | Qing Dou |
| collection | DOAJ |
| description | Abstract This paper proposes a multi‐level coordinated scheduling strategy for shared energy storage systems (SESS) under electricity spot and ancillary service markets to maximize the overall operational profit. At the upper level, an optimal day‐ahead bidding model is formulated to allocate optimal capacities of SESS for engaging in electricity transactions and offering peak shaving reserve over the scheduling horizon. Then, a joint market clearing model is presented to simultaneously optimize awarded capacities of SESS and marginal prices of electricity spot and ancillary service markets at the middle level. Furthermore, the lower level aims to correct the coordinated scheduling strategy for minimizing the intra‐day scheduling cost under the uncertainty of renewable energy sources and load demand. Finally, a linear relaxation method is applied to transform the proposed strategy into a mixed‐integer linear programming problem for enhancing the computation efficiency. Comparative case studies have validated the superior performance of the proposed strategy for better utilization of available storage capacity and arbitrage maximization. |
| format | Article |
| id | doaj-art-2c4986e94b2549bd9dafb327f8c467e8 |
| institution | Kabale University |
| issn | 1752-1416 1752-1424 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Renewable Power Generation |
| spelling | doaj-art-2c4986e94b2549bd9dafb327f8c467e82025-01-30T12:15:53ZengWileyIET Renewable Power Generation1752-14161752-14242024-12-0118163855386810.1049/rpg2.13069A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service marketsQing Dou0Xiang Gao1Yuheng Wu2Yu Chen3Rui Xie4Jialin Chen5College of Electrical and Information Engineering Hunan University Changsha ChinaIndustrial Training Centre Shenzhen Polytechnic University Shenzhen ChinaCollege of Electrical and Information Engineering Hunan University Changsha ChinaCollege of Electrical and Information Engineering Hunan University Changsha ChinaSchool of Electrical Information Engineering Hunan Institute of Technology Hengyang ChinaSubstation Maintenance Centre Shaoxing Power Supply Company of State Grid Zhejiang Electric Power Co., Ltd Shaoxing ChinaAbstract This paper proposes a multi‐level coordinated scheduling strategy for shared energy storage systems (SESS) under electricity spot and ancillary service markets to maximize the overall operational profit. At the upper level, an optimal day‐ahead bidding model is formulated to allocate optimal capacities of SESS for engaging in electricity transactions and offering peak shaving reserve over the scheduling horizon. Then, a joint market clearing model is presented to simultaneously optimize awarded capacities of SESS and marginal prices of electricity spot and ancillary service markets at the middle level. Furthermore, the lower level aims to correct the coordinated scheduling strategy for minimizing the intra‐day scheduling cost under the uncertainty of renewable energy sources and load demand. Finally, a linear relaxation method is applied to transform the proposed strategy into a mixed‐integer linear programming problem for enhancing the computation efficiency. Comparative case studies have validated the superior performance of the proposed strategy for better utilization of available storage capacity and arbitrage maximization.https://doi.org/10.1049/rpg2.13069energy storagepower generation schedulingpower marketsrenewable energy sourcesresource allocation |
| spellingShingle | Qing Dou Xiang Gao Yuheng Wu Yu Chen Rui Xie Jialin Chen A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets IET Renewable Power Generation energy storage power generation scheduling power markets renewable energy sources resource allocation |
| title | A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets |
| title_full | A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets |
| title_fullStr | A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets |
| title_full_unstemmed | A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets |
| title_short | A multi‐level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets |
| title_sort | multi level coordinated scheduling strategy for shared energy storage systems under electricity spot and ancillary service markets |
| topic | energy storage power generation scheduling power markets renewable energy sources resource allocation |
| url | https://doi.org/10.1049/rpg2.13069 |
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