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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2023-07-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202212071 |
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| Summary: | 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. |
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| ISSN: | 1004-9649 |