Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm
Purpose: This study aims to investigate the feasibility of proposed microgrid (MG) that comprises photovoltaic, wind turbines, battery energy storage and diesel generator to supply a residential building in Grindelwald which is chosen as the test location. Design/methodology/approach: Three operatio...
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my.uniten.dspace-366292025-03-03T15:43:30Z Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm Jouma Touma H. Mansor M. Abd Rahman M.S. Jia Ying Y. Mokhlis H. 57222640905 6701749037 36609854400 56119339200 8136874200 Battery storage Energy management Sales Secondary batteries Wind Battery Energy Energy management strategy Main-grid Management strategies Microgrid Optimisations Photovoltaics Power supply Power supply shortage Purchased energy Sell energy Supply shortages Wind speed Optimization Purpose: This study aims to investigate the feasibility of proposed microgrid (MG) that comprises photovoltaic, wind turbines, battery energy storage and diesel generator to supply a residential building in Grindelwald which is chosen as the test location. Design/methodology/approach: Three operational configurations were used to run the proposed MG. In the first configuration, the electric energy can be vended and procured utterly between the main-grid and MG. In the second configuration, the energy trade was performed within 15 kWh as the maximum allowable limit of energy to purchase and sell. In the third configuration, the system performance in the stand-alone operation mode was investigated. A whale optimization technique is used to determine the optimal size of MG in all proposed configurations. The cost of energy (COE) and other measures are used to evaluate the system performance. Findings: The obtained results revealed that the first configuration is the most beneficial with COE of 0.253$/KWh and reliable 100%. Furthermore, the whale optimization algorithm is sufficiently feasible as compared to other techniques to apply in the applications of MG. Originality/value: The value of the proposed research is to investigate to what extend the integration between MG and main-grid is beneficial economically and technically. As opposed to previous research studies that have focused predominantly only on the optimal size of MG. ? 2023, Emerald Publishing Limited. Final 2025-03-03T07:43:30Z 2025-03-03T07:43:30Z 2024 Article 10.1108/IJESM-03-2023-0016 2-s2.0-85161634941 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161634941&doi=10.1108%2fIJESM-03-2023-0016&partnerID=40&md5=906ecc3f0f3376055393a7b532d2c56a https://irepository.uniten.edu.my/handle/123456789/36629 18 4 725 748 Emerald Publishing Scopus |
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Battery storage Energy management Sales Secondary batteries Wind Battery Energy Energy management strategy Main-grid Management strategies Microgrid Optimisations Photovoltaics Power supply Power supply shortage Purchased energy Sell energy Supply shortages Wind speed Optimization |
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Battery storage Energy management Sales Secondary batteries Wind Battery Energy Energy management strategy Main-grid Management strategies Microgrid Optimisations Photovoltaics Power supply Power supply shortage Purchased energy Sell energy Supply shortages Wind speed Optimization Jouma Touma H. Mansor M. Abd Rahman M.S. Jia Ying Y. Mokhlis H. Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm |
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Purpose: This study aims to investigate the feasibility of proposed microgrid (MG) that comprises photovoltaic, wind turbines, battery energy storage and diesel generator to supply a residential building in Grindelwald which is chosen as the test location. Design/methodology/approach: Three operational configurations were used to run the proposed MG. In the first configuration, the electric energy can be vended and procured utterly between the main-grid and MG. In the second configuration, the energy trade was performed within 15 kWh as the maximum allowable limit of energy to purchase and sell. In the third configuration, the system performance in the stand-alone operation mode was investigated. A whale optimization technique is used to determine the optimal size of MG in all proposed configurations. The cost of energy (COE) and other measures are used to evaluate the system performance. Findings: The obtained results revealed that the first configuration is the most beneficial with COE of 0.253$/KWh and reliable 100%. Furthermore, the whale optimization algorithm is sufficiently feasible as compared to other techniques to apply in the applications of MG. Originality/value: The value of the proposed research is to investigate to what extend the integration between MG and main-grid is beneficial economically and technically. As opposed to previous research studies that have focused predominantly only on the optimal size of MG. ? 2023, Emerald Publishing Limited. |
| author2 |
57222640905 |
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57222640905 Jouma Touma H. Mansor M. Abd Rahman M.S. Jia Ying Y. Mokhlis H. |
| format |
Article |
| author |
Jouma Touma H. Mansor M. Abd Rahman M.S. Jia Ying Y. Mokhlis H. |
| author_sort |
Jouma Touma H. |
| title |
Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm |
| title_short |
Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm |
| title_full |
Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm |
| title_fullStr |
Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm |
| title_full_unstemmed |
Investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm |
| title_sort |
investigation of the feasibility of microgrid under three operational configurations using whale optimization algorithm |
| publisher |
Emerald Publishing |
| publishDate |
2025 |
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1825816112799940608 |
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13.244109 |