Multi-agent based distributed control architecture for microgrid energy management and optimization
Closed loop control systems; Computer architecture; Decentralized control; Distributed parameter control systems; Distributed power generation; Electric power system interconnection; Energy management; Energy resources; Fault tolerance; Game theory; Multi agent systems; Renewable energy resources; D...
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2023
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my.uniten.dspace-228242023-05-29T14:12:29Z Multi-agent based distributed control architecture for microgrid energy management and optimization Basir Khan M.R. Jidin R. Pasupuleti J. 55812128900 6508169028 11340187300 Closed loop control systems; Computer architecture; Decentralized control; Distributed parameter control systems; Distributed power generation; Electric power system interconnection; Energy management; Energy resources; Fault tolerance; Game theory; Multi agent systems; Renewable energy resources; Decentralized control architecture; Distributed control architectures; Distributed Energy Resources; Distributed generation system; Micro grid; Multi agent; Non-cooperative game theory; Renewable energy systems; Energy management systems Most energy management systems are based on a centralized controller that is difficult to satisfy criteria such as fault tolerance and adaptability. Therefore, a new multi-agent based distributed energy management system architecture is proposed in this paper. The distributed generation system is composed of several distributed energy resources and a group of loads. A multi-agent system based decentralized control architecture was developed in order to provide control for the complex energy management of the distributed generation system. Then, non-cooperative game theory was used for the multi-agent coordination in the system. The distributed generation system was assessed by simulation under renewable resource fluctuations, seasonal load demand and grid disturbances. The simulation results show that the implementation of the new energy management system proved to provide more robust and high performance controls than conventional centralized energy management systems. � 2016 Elsevier Ltd. All rights reserved. Final 2023-05-29T06:12:29Z 2023-05-29T06:12:29Z 2016 Article 10.1016/j.enconman.2016.01.011 2-s2.0-84966421203 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84966421203&doi=10.1016%2fj.enconman.2016.01.011&partnerID=40&md5=501530f1cea3189ea020f47b2f01af71 https://irepository.uniten.edu.my/handle/123456789/22824 112 288 307 Elsevier Ltd Scopus |
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| description |
Closed loop control systems; Computer architecture; Decentralized control; Distributed parameter control systems; Distributed power generation; Electric power system interconnection; Energy management; Energy resources; Fault tolerance; Game theory; Multi agent systems; Renewable energy resources; Decentralized control architecture; Distributed control architectures; Distributed Energy Resources; Distributed generation system; Micro grid; Multi agent; Non-cooperative game theory; Renewable energy systems; Energy management systems |
| author2 |
55812128900 |
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55812128900 Basir Khan M.R. Jidin R. Pasupuleti J. |
| format |
Article |
| author |
Basir Khan M.R. Jidin R. Pasupuleti J. |
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Basir Khan M.R. Jidin R. Pasupuleti J. Multi-agent based distributed control architecture for microgrid energy management and optimization |
| author_sort |
Basir Khan M.R. |
| title |
Multi-agent based distributed control architecture for microgrid energy management and optimization |
| title_short |
Multi-agent based distributed control architecture for microgrid energy management and optimization |
| title_full |
Multi-agent based distributed control architecture for microgrid energy management and optimization |
| title_fullStr |
Multi-agent based distributed control architecture for microgrid energy management and optimization |
| title_full_unstemmed |
Multi-agent based distributed control architecture for microgrid energy management and optimization |
| title_sort |
multi-agent based distributed control architecture for microgrid energy management and optimization |
| publisher |
Elsevier Ltd |
| publishDate |
2023 |
| _version_ |
1806427806823874560 |