Two-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value Method
To deeply explore the role of centralized shared energy storage and distributed energy storage in the future new energy structure, this paper proposes a two-layer optimization operation model of cloud energy storage considering multi-agent value coordination. Firstly, a two-layer cloud energy storag...
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2023-07-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212071 |
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| author | Zhenbo WEI Yinjiang LI Wenwen ZHANG Chao YANG |
| author_facet | Zhenbo WEI Yinjiang LI Wenwen ZHANG Chao YANG |
| author_sort | Zhenbo WEI |
| collection | DOAJ |
| description | To deeply explore the role of centralized shared energy storage and distributed energy storage in the future new energy structure, this paper proposes a two-layer optimization operation model of cloud energy storage considering multi-agent value coordination. Firstly, a two-layer cloud energy storage model is built based on the scale effect of shared energy storage and the complementarity of distributed energy storage users. The upper objective function is the optimal daily economic benefit considering the full lifecycle cost of shared energy storage. The lower layer aims at the lowest daily operation cost of the user alliance and is solved by two-layer parallel optimization of analytic target cascading (ATC). To take into account the interests of each participant and the realization paths, the paper puts forward an improved Myerson value method to address the curse of dimensionality caused by cost allocation and user groups of chain alliance. Finally, the simulation results show that the model can further improve the consumption capacity of clean energy in the whole society, and the proposed cost allocation method can yield win-win results, providing references for future user-side large-scale energy storage applications. |
| format | Article |
| id | doaj-art-b1622b2d0ba24702ac8a75f2ec32697f |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2023-07-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-b1622b2d0ba24702ac8a75f2ec32697f2025-08-20T02:47:37ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492023-07-0156719820610.11930/j.issn.1004-9649.202212071zgdl-56-7-weizhenboTwo-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value MethodZhenbo WEI0Yinjiang LI1Wenwen ZHANG2Chao YANG3College of Electrical Engineering, Sichuan University, Chengdu 610000, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610000, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610000, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu 610000, ChinaTo deeply explore the role of centralized shared energy storage and distributed energy storage in the future new energy structure, this paper proposes a two-layer optimization operation model of cloud energy storage considering multi-agent value coordination. Firstly, a two-layer cloud energy storage model is built based on the scale effect of shared energy storage and the complementarity of distributed energy storage users. The upper objective function is the optimal daily economic benefit considering the full lifecycle cost of shared energy storage. The lower layer aims at the lowest daily operation cost of the user alliance and is solved by two-layer parallel optimization of analytic target cascading (ATC). To take into account the interests of each participant and the realization paths, the paper puts forward an improved Myerson value method to address the curse of dimensionality caused by cost allocation and user groups of chain alliance. Finally, the simulation results show that the model can further improve the consumption capacity of clean energy in the whole society, and the proposed cost allocation method can yield win-win results, providing references for future user-side large-scale energy storage applications.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212071cloud energy storagenew energy consumptionanalytic target cascadingimproved myerson value methodcost allocation |
| spellingShingle | Zhenbo WEI Yinjiang LI Wenwen ZHANG Chao YANG Two-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value Method Zhongguo dianli cloud energy storage new energy consumption analytic target cascading improved myerson value method cost allocation |
| title | Two-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value Method |
| title_full | Two-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value Method |
| title_fullStr | Two-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value Method |
| title_full_unstemmed | Two-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value Method |
| title_short | Two-Layer Optimization Operation Model of Cloud Energy Storage Based on Improved Myerson Value Method |
| title_sort | two layer optimization operation model of cloud energy storage based on improved myerson value method |
| topic | cloud energy storage new energy consumption analytic target cascading improved myerson value method cost allocation |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212071 |
| work_keys_str_mv | AT zhenbowei twolayeroptimizationoperationmodelofcloudenergystoragebasedonimprovedmyersonvaluemethod AT yinjiangli twolayeroptimizationoperationmodelofcloudenergystoragebasedonimprovedmyersonvaluemethod AT wenwenzhang twolayeroptimizationoperationmodelofcloudenergystoragebasedonimprovedmyersonvaluemethod AT chaoyang twolayeroptimizationoperationmodelofcloudenergystoragebasedonimprovedmyersonvaluemethod |