Anticipatory response model for multi-agent based energy management system in a standalone microgrid
Distributed power generation; Energy management systems; Energy resources; Forecasting; Game theory; Multi agent systems; Renewable energy resources; Anticipatory response; Auto regressive models; Centralized controllers; Micro grid; Multi agent; Multiagent architecture; Predictive algorithms; Renew...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-231812023-05-29T14:38:14Z Anticipatory response model for multi-agent based energy management system in a standalone microgrid Khan M.R.B. Pasupuleti J. Jidin R. 55812128900 11340187300 6508169028 Distributed power generation; Energy management systems; Energy resources; Forecasting; Game theory; Multi agent systems; Renewable energy resources; Anticipatory response; Auto regressive models; Centralized controllers; Micro grid; Multi agent; Multiagent architecture; Predictive algorithms; Renewable energies; Electric load dispatching In this paper, multi-agent architecture was used to provide control for standalone microgrid with distributed generations. Therefore, to achieve a faster control compared to the centralized controller, each agent incorporated with a local prediction or forecasting model to provide anticipatory responses. To accomplish their common goals successfully, the agents cooperated based on facilitator architecture with game-theory. Initially, the agents estimate its own parameters and dynamically adjust them by playing non-cooperative game with other agents. The predictive algorithm is based on autoregressive model where each agent will predict the load demand alongside renewable energy resources in order to dynamically regulate the control parameters. This will provide a faster response where the agents will anticipate future load demand and available renewable resources and adjust their parameters beforehand. Hence, this will minimize the fluctuations of voltage and frequency in the microgrid leading to more efficient power dispatch and lower power losses. � 2016 IEEE. Final 2023-05-29T06:38:14Z 2023-05-29T06:38:14Z 2017 Conference Paper 10.1109/PECON.2016.7951647 2-s2.0-85024400881 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85024400881&doi=10.1109%2fPECON.2016.7951647&partnerID=40&md5=d56dea8d91bcd962dd9138a2c0a7539b https://irepository.uniten.edu.my/handle/123456789/23181 7951647 686 691 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Distributed power generation; Energy management systems; Energy resources; Forecasting; Game theory; Multi agent systems; Renewable energy resources; Anticipatory response; Auto regressive models; Centralized controllers; Micro grid; Multi agent; Multiagent architecture; Predictive algorithms; Renewable energies; Electric load dispatching |
| author2 |
55812128900 |
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55812128900 Khan M.R.B. Pasupuleti J. Jidin R. |
| format |
Conference Paper |
| author |
Khan M.R.B. Pasupuleti J. Jidin R. |
| spellingShingle |
Khan M.R.B. Pasupuleti J. Jidin R. Anticipatory response model for multi-agent based energy management system in a standalone microgrid |
| author_sort |
Khan M.R.B. |
| title |
Anticipatory response model for multi-agent based energy management system in a standalone microgrid |
| title_short |
Anticipatory response model for multi-agent based energy management system in a standalone microgrid |
| title_full |
Anticipatory response model for multi-agent based energy management system in a standalone microgrid |
| title_fullStr |
Anticipatory response model for multi-agent based energy management system in a standalone microgrid |
| title_full_unstemmed |
Anticipatory response model for multi-agent based energy management system in a standalone microgrid |
| title_sort |
anticipatory response model for multi-agent based energy management system in a standalone microgrid |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806428125451517952 |
| score |
13.188404 |