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- Publisher Website: 10.13334/j.0258-8013.pcsee.202422
- Scopus: eid_2-s2.0-85130158200
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Article: Power Ecosystem Operation Based on Cloud-edge Collaboration: Theoretical Framework
Title | Power Ecosystem Operation Based on Cloud-edge Collaboration: Theoretical Framework 基于云边融合的电力生态运行:理论框架 |
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Authors | |
Keywords | Bilevel collaboration Cloud brain Edge neuron Operation and control decision Power ecosystem operation |
Issue Date | 5-May-2022 |
Publisher | Chinese Society for Electrical Engineering |
Citation | Proceedings of the Chinese Society of Electrical Engineering, 2022, v. 42, n. 9, p. 3204-3213 How to Cite? |
Abstract | In order to face the challenges and opportunities of power system operation in the future, this paper provided a prospect for the power ecosystem, analyzed the key features and requirements of the energy ecosystem operation, and proposed a cloud-edge bilevel collaboration architecture. We used Stackelberg-Nash game as the fundamental model for the cloud-edge collaboration. Specifically, we used probabilistic graphical model, risk-limiting sequential optimization, consensus based distributed optimization, and bilevel optimization as the models of perception, cloud operation, edge operation and cloud-edge collaboration. |
Persistent Identifier | http://hdl.handle.net/10722/338416 |
ISSN | 2023 SCImago Journal Rankings: 1.045 |
DC Field | Value | Language |
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dc.contributor.author | Peng, C | - |
dc.contributor.author | Liu, Y | - |
dc.contributor.author | Zhou, H | - |
dc.contributor.author | Liu, F | - |
dc.contributor.author | Zhang, K | - |
dc.contributor.author | Hu, R | - |
dc.contributor.author | Hou, Y | - |
dc.contributor.author | Zhang, X | - |
dc.date.accessioned | 2024-03-11T10:28:40Z | - |
dc.date.available | 2024-03-11T10:28:40Z | - |
dc.date.issued | 2022-05-05 | - |
dc.identifier.citation | Proceedings of the Chinese Society of Electrical Engineering, 2022, v. 42, n. 9, p. 3204-3213 | - |
dc.identifier.issn | 0258-8013 | - |
dc.identifier.uri | http://hdl.handle.net/10722/338416 | - |
dc.description.abstract | In order to face the challenges and opportunities of power system operation in the future, this paper provided a prospect for the power ecosystem, analyzed the key features and requirements of the energy ecosystem operation, and proposed a cloud-edge bilevel collaboration architecture. We used Stackelberg-Nash game as the fundamental model for the cloud-edge collaboration. Specifically, we used probabilistic graphical model, risk-limiting sequential optimization, consensus based distributed optimization, and bilevel optimization as the models of perception, cloud operation, edge operation and cloud-edge collaboration. | - |
dc.language | eng | - |
dc.publisher | Chinese Society for Electrical Engineering | - |
dc.relation.ispartof | Proceedings of the Chinese Society of Electrical Engineering | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Bilevel collaboration | - |
dc.subject | Cloud brain | - |
dc.subject | Edge neuron | - |
dc.subject | Operation and control decision | - |
dc.subject | Power ecosystem operation | - |
dc.title | Power Ecosystem Operation Based on Cloud-edge Collaboration: Theoretical Framework | - |
dc.title | 基于云边融合的电力生态运行:理论框架 | - |
dc.type | Article | - |
dc.identifier.doi | 10.13334/j.0258-8013.pcsee.202422 | - |
dc.identifier.scopus | eid_2-s2.0-85130158200 | - |
dc.identifier.volume | 42 | - |
dc.identifier.issue | 9 | - |
dc.identifier.spage | 3204 | - |
dc.identifier.epage | 3213 | - |
dc.identifier.issnl | 0258-8013 | - |