Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method
In recent years, changing the structure and decentralizing management of energy systems have been started as a serious movement in many countries and past experience in this field has demonstrated that relying on market mechanism to ensure the adequacy of energy production and supply in the long run...
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| Language: | English |
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Bilijipub publisher
2022-10-01
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| Series: | Advances in Engineering and Intelligence Systems |
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| Online Access: | https://aeis.bilijipub.com/article_158273_7c1ae0a8eda118b007a12ef2c6d0d838.pdf |
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| author | Amir Sohel Md Faisal Bin Ashab |
| author_facet | Amir Sohel Md Faisal Bin Ashab |
| author_sort | Amir Sohel |
| collection | DOAJ |
| description | In recent years, changing the structure and decentralizing management of energy systems have been started as a serious movement in many countries and past experience in this field has demonstrated that relying on market mechanism to ensure the adequacy of energy production and supply in the long run lacks efficiency. Hence, the issue of planning for the optimal development of the energy supply system is one of the key issues in the restructured condition. Planning for developing systems in new conditions is much more complicated than the classical systems. In the present study, the development planning of electric power production system with the collaboration of thermal, wind, hydro and solar power plants is reviewed. A multi-level model for electric charge, wind and hydro power plants is introduced. By specifying the optimal capacity of wind and water units and reducing the contribution of thermal units as well as environmental pollution, the total cost of developing the production system is decreased. The presented method is carried out for IEEE 24 busbar network and the combined particle swarm optimization and gravitation search algorithm optimization process, which includes two method for optimization process. |
| format | Article |
| id | doaj-art-9c4a9493030a4a488943bc29fe30d152 |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2022-10-01 |
| publisher | Bilijipub publisher |
| record_format | Article |
| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-9c4a9493030a4a488943bc29fe30d1522025-02-12T08:46:30ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632022-10-0100103425310.22034/aeis.2022.355486.1036158273Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence MethodAmir Sohel0Md Faisal Bin Ashab1College of Electrical Engineering and New Energy, China Three Gorges University, Hubei, ChinaCollege of Electrical Engineering and New Energy, China Three Gorges University, Hubei, ChinaIn recent years, changing the structure and decentralizing management of energy systems have been started as a serious movement in many countries and past experience in this field has demonstrated that relying on market mechanism to ensure the adequacy of energy production and supply in the long run lacks efficiency. Hence, the issue of planning for the optimal development of the energy supply system is one of the key issues in the restructured condition. Planning for developing systems in new conditions is much more complicated than the classical systems. In the present study, the development planning of electric power production system with the collaboration of thermal, wind, hydro and solar power plants is reviewed. A multi-level model for electric charge, wind and hydro power plants is introduced. By specifying the optimal capacity of wind and water units and reducing the contribution of thermal units as well as environmental pollution, the total cost of developing the production system is decreased. The presented method is carried out for IEEE 24 busbar network and the combined particle swarm optimization and gravitation search algorithm optimization process, which includes two method for optimization process.https://aeis.bilijipub.com/article_158273_7c1ae0a8eda118b007a12ef2c6d0d838.pdfstochastic programmingrenewable energydistributed generationoptimal capacityparticle swarm algorithmgravitational search algorithm |
| spellingShingle | Amir Sohel Md Faisal Bin Ashab Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method Advances in Engineering and Intelligence Systems stochastic programming renewable energy distributed generation optimal capacity particle swarm algorithm gravitational search algorithm |
| title | Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method |
| title_full | Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method |
| title_fullStr | Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method |
| title_full_unstemmed | Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method |
| title_short | Determining Appropriate Strategy for Managing the Energy Production System in the Presence of Renewable Energy Sources and Improved Intelligence Method |
| title_sort | determining appropriate strategy for managing the energy production system in the presence of renewable energy sources and improved intelligence method |
| topic | stochastic programming renewable energy distributed generation optimal capacity particle swarm algorithm gravitational search algorithm |
| url | https://aeis.bilijipub.com/article_158273_7c1ae0a8eda118b007a12ef2c6d0d838.pdf |
| work_keys_str_mv | AT amirsohel determiningappropriatestrategyformanagingtheenergyproductionsysteminthepresenceofrenewableenergysourcesandimprovedintelligencemethod AT mdfaisalbinashab determiningappropriatestrategyformanagingtheenergyproductionsysteminthepresenceofrenewableenergysourcesandimprovedintelligencemethod |