Virtual power plant and microgrids controller for energy management based on optimization techniques
Aggregates; Energy management; Forecasting; Learning algorithms; Optimization; Particle swarm optimization (PSO); Weather forecasting; Backtracking search algorithms; Distribution generation; Intelligent decisions; Micro grid; Optimization techniques; Particle swarm optimization algorithm; Virtual p...
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2023
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my.uniten.dspace-232182023-05-29T14:38:31Z Virtual power plant and microgrids controller for energy management based on optimization techniques Abdolrasol M.G.M. Mohamed A. Hannan M.A. 35796848700 57195440511 7103014445 Aggregates; Energy management; Forecasting; Learning algorithms; Optimization; Particle swarm optimization (PSO); Weather forecasting; Backtracking search algorithms; Distribution generation; Intelligent decisions; Micro grid; Optimization techniques; Particle swarm optimization algorithm; Virtual power plants; Virtual power plants (VPP); Energy management systems This paper discuss virtual power plant (VPP) and Microgrid controller for energy management system (EMS) based on optimization techniques by using two optimization techniques namely Backtracking search algorithm (BSA) and particle swarm optimization algorithm (PSO). The research proposes use of multi Microgrid in the distribution networks to aggregate the power form distribution generation and form it into single Microgrid and let these Microgrid deal directly with the central organizer called virtual power plant. VPP duties are price forecast, demand forecast, weather forecast, production forecast, shedding loads, make intelligent decision and for aggregate & optimizes the data. This huge system has been tested and simulated by using Matlab simulink. These paper shows optimizations of two methods were really significant in the results. But BSA is better than PSO to search for better parameters which could make more power saving as in the results and the discussion. � JES 2017. Final 2023-05-29T06:38:31Z 2023-05-29T06:38:31Z 2017 Article 2-s2.0-85020073428 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020073428&partnerID=40&md5=48d2e644d37d20451ccca07a7ae74994 https://irepository.uniten.edu.my/handle/123456789/23218 13 2 285 294 Engineering and Scientific Research Groups Scopus |
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Aggregates; Energy management; Forecasting; Learning algorithms; Optimization; Particle swarm optimization (PSO); Weather forecasting; Backtracking search algorithms; Distribution generation; Intelligent decisions; Micro grid; Optimization techniques; Particle swarm optimization algorithm; Virtual power plants; Virtual power plants (VPP); Energy management systems |
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35796848700 |
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35796848700 Abdolrasol M.G.M. Mohamed A. Hannan M.A. |
| format |
Article |
| author |
Abdolrasol M.G.M. Mohamed A. Hannan M.A. |
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Abdolrasol M.G.M. Mohamed A. Hannan M.A. Virtual power plant and microgrids controller for energy management based on optimization techniques |
| author_sort |
Abdolrasol M.G.M. |
| title |
Virtual power plant and microgrids controller for energy management based on optimization techniques |
| title_short |
Virtual power plant and microgrids controller for energy management based on optimization techniques |
| title_full |
Virtual power plant and microgrids controller for energy management based on optimization techniques |
| title_fullStr |
Virtual power plant and microgrids controller for energy management based on optimization techniques |
| title_full_unstemmed |
Virtual power plant and microgrids controller for energy management based on optimization techniques |
| title_sort |
virtual power plant and microgrids controller for energy management based on optimization techniques |
| publisher |
Engineering and Scientific Research Groups |
| publishDate |
2023 |
| _version_ |
1806427807255887872 |
| score |
13.222552 |