Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm
algorithm; alternative energy; emission; energy management; genetic algorithm; optimization
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2023
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my.uniten.dspace-261062023-05-29T17:06:52Z Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm Tahmasebi M. Pasupuleti J. Mohamadian F. Shakeri M. Guerrero J.M. Basir Khan M.R. Nazir M.S. Safari A. Bazmohammadi N. 55945605900 11340187300 57506909200 55433849200 35588010400 55812128900 55206618300 55921938000 55364701400 algorithm; alternative energy; emission; energy management; genetic algorithm; optimization Microgrids are new technologies for integrating renewable energies into power systems. Optimal operation of renewable energy sources in standalone micro-grids is an intensive task due to the continuous variation of their output powers and intermittant nature. This work addresses the optimum operation of an independent microgrid considering the demand response program (DRP). An energy management model with two different scenarios has been proposed to minimize the costs of operation and emissions. Interruptible/curtailable loads are considered in DRPs. Besides, due to the growing concern of the developing efficient optimization methods and algorithms in line with the increasing needs of microgrids, the focus of this study is on using the whale meta-heuristic algorithm for operation management of microgrids. The findings indicate that the whale optimization algorithm outperforms the other known algorithms such as imperialist competitive and genetic algorithms, as well as particle swarm optimization. Furthermore, the results show that the use of DRPS has a significant impact on the costs of operation and emissions. � 2021 by the authors. Licensee MDPI, Basel, Switzerland. Final 2023-05-29T09:06:52Z 2023-05-29T09:06:52Z 2021 Article 10.3390/su13147710 2-s2.0-85111171963 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111171963&doi=10.3390%2fsu13147710&partnerID=40&md5=4c2c5c2a12958c409e4cc778ce8f5313 https://irepository.uniten.edu.my/handle/123456789/26106 13 14 7710 All Open Access, Gold, Green MDPI AG Scopus |
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| description |
algorithm; alternative energy; emission; energy management; genetic algorithm; optimization |
| author2 |
55945605900 |
| author_facet |
55945605900 Tahmasebi M. Pasupuleti J. Mohamadian F. Shakeri M. Guerrero J.M. Basir Khan M.R. Nazir M.S. Safari A. Bazmohammadi N. |
| format |
Article |
| author |
Tahmasebi M. Pasupuleti J. Mohamadian F. Shakeri M. Guerrero J.M. Basir Khan M.R. Nazir M.S. Safari A. Bazmohammadi N. |
| spellingShingle |
Tahmasebi M. Pasupuleti J. Mohamadian F. Shakeri M. Guerrero J.M. Basir Khan M.R. Nazir M.S. Safari A. Bazmohammadi N. Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm |
| author_sort |
Tahmasebi M. |
| title |
Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm |
| title_short |
Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm |
| title_full |
Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm |
| title_fullStr |
Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm |
| title_full_unstemmed |
Optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization Algorithm |
| title_sort |
optimal operation of stand-alone microgrid considering emission issues and demand response program using whale optimization algorithm |
| publisher |
MDPI AG |
| publishDate |
2023 |
| _version_ |
1806427963053309952 |
| score |
13.211869 |