Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent System
This paper presents a consensus dispatch model of the distributed power network based on multi-access edge computing (MEC) and multi-agent system (MAS).MEC decentralizes the processing and storage of data in the distributed power system to the edge node combined with MAS, which reduces the amount of...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-06-01
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Series: | Frontiers in Energy Research |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.907359/full |
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author | Liming Wang Liming Wang Yingming Liu Xiaodong Wang Hanbo Wang Guoxian Guo |
author_facet | Liming Wang Liming Wang Yingming Liu Xiaodong Wang Hanbo Wang Guoxian Guo |
author_sort | Liming Wang |
collection | DOAJ |
description | This paper presents a consensus dispatch model of the distributed power network based on multi-access edge computing (MEC) and multi-agent system (MAS).MEC decentralizes the processing and storage of data in the distributed power system to the edge node combined with MAS, which reduces the amount of calculation in the dispatch center. The model formulates different objective functions for the edge nodes and the cloud center nodes of the MEC to optimally allocate the output of each unit. Meanwhile, in order to meet the consensus dispatch of distributed units, the operational benefits of flexible load, the operating cost of thermal power units, the penalty cost of abandoning wind and solar power for new energy units, and the operation of energy storage devices are utilized as consensus variables. Based on these consensus variables, an optimal dispatch method of the distributed power network is established. Compared with the traditional dispatch model, this model integrates distributed units and autonomous sub-regions through MAS and MEC, which ensures the system performs consensus dispatch under the balance of supply and demand, and also improves the proportion of new energy consumption. |
first_indexed | 2024-04-12T14:41:40Z |
format | Article |
id | doaj.art-8e4cc3e6a2f444019bb93b0a3c305db6 |
institution | Directory Open Access Journal |
issn | 2296-598X |
language | English |
last_indexed | 2024-04-12T14:41:40Z |
publishDate | 2022-06-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Energy Research |
spelling | doaj.art-8e4cc3e6a2f444019bb93b0a3c305db62022-12-22T03:28:48ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-06-011010.3389/fenrg.2022.907359907359Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent SystemLiming Wang0Liming Wang1Yingming Liu2Xiaodong Wang3Hanbo Wang4Guoxian Guo5School of Electrical Engineering, Shenyang University of Technology, Shenyang, ChinaCollege of Information, Shenyang Institute of Engineering, Shenyang, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang, ChinaSchool of Electrical Engineering, Shenyang University of Technology, Shenyang, ChinaThis paper presents a consensus dispatch model of the distributed power network based on multi-access edge computing (MEC) and multi-agent system (MAS).MEC decentralizes the processing and storage of data in the distributed power system to the edge node combined with MAS, which reduces the amount of calculation in the dispatch center. The model formulates different objective functions for the edge nodes and the cloud center nodes of the MEC to optimally allocate the output of each unit. Meanwhile, in order to meet the consensus dispatch of distributed units, the operational benefits of flexible load, the operating cost of thermal power units, the penalty cost of abandoning wind and solar power for new energy units, and the operation of energy storage devices are utilized as consensus variables. Based on these consensus variables, an optimal dispatch method of the distributed power network is established. Compared with the traditional dispatch model, this model integrates distributed units and autonomous sub-regions through MAS and MEC, which ensures the system performs consensus dispatch under the balance of supply and demand, and also improves the proportion of new energy consumption.https://www.frontiersin.org/articles/10.3389/fenrg.2022.907359/fulldistributed power systemedge computingmulti-agent systemconsensus dispatchoptimal dispatch method |
spellingShingle | Liming Wang Liming Wang Yingming Liu Xiaodong Wang Hanbo Wang Guoxian Guo Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent System Frontiers in Energy Research distributed power system edge computing multi-agent system consensus dispatch optimal dispatch method |
title | Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent System |
title_full | Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent System |
title_fullStr | Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent System |
title_full_unstemmed | Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent System |
title_short | Consensus Dispatch of Distributed Power Network Based on Multi-Access Edge Computing and Multi-Agent System |
title_sort | consensus dispatch of distributed power network based on multi access edge computing and multi agent system |
topic | distributed power system edge computing multi-agent system consensus dispatch optimal dispatch method |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.907359/full |
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