Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer
Recently, global interest in organizing the functioning of renewable energy resources (RES) through microgrids (MG) has developed, as a unique approach to tackle technical, economic, and environmental difficulties. This study proposes implementing a developed Distributable Resource Management strate...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/106121/1/journal.pone.0298094.pdf |
| _version_ | 1825939317350989824 |
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| author | Tukkee, Ahmed Sahib Bin Abdul Wahab, Noor Izzri Binti Mailah, Nashiren Farzilah Hassan, Mohd Khair |
| author_facet | Tukkee, Ahmed Sahib Bin Abdul Wahab, Noor Izzri Binti Mailah, Nashiren Farzilah Hassan, Mohd Khair |
| author_sort | Tukkee, Ahmed Sahib |
| collection | UPM |
| description | Recently, global interest in organizing the functioning of renewable energy resources (RES) through microgrids (MG) has developed, as a unique approach to tackle technical, economic, and environmental difficulties. This study proposes implementing a developed Distributable Resource Management strategy (DRMS) in hybrid Microgrid systems to reduce total net percent cost (TNPC), energy loss (Ploss), and gas emissions (GEM) while taking the cost-benefit index (CBI) and loss of power supply probability (LPSP) as operational constraints. Grey Wolf Optimizer (GWO) was utilized to find the optimal size of the hybrid Microgrid components and calculate the multi-objective function with and without the proposed management method. In addition, a detailed sensitivity analysis of numerous economic and technological parameters was performed to assess system performance. The proposed strategy reduced the system’s total net present cost, power loss, and emissions by (1.06), (8.69), and (17.19), respectively compared to normal operation. Firefly Algorithm (FA) and Particle Swarm Optimization (PSO) techniques were used to verify the results. This study gives a more detailed plan for evaluating the effectiveness of hybrid Microgrid systems from a technical, economic, and environmental perspective. |
| first_indexed | 2024-12-09T02:17:21Z |
| format | Article |
| id | upm.eprints-106121 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-12-09T02:17:21Z |
| publishDate | 2024 |
| publisher | Public Library of Science |
| record_format | dspace |
| spelling | upm.eprints-1061212024-10-08T08:11:31Z http://psasir.upm.edu.my/id/eprint/106121/ Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer Tukkee, Ahmed Sahib Bin Abdul Wahab, Noor Izzri Binti Mailah, Nashiren Farzilah Hassan, Mohd Khair Recently, global interest in organizing the functioning of renewable energy resources (RES) through microgrids (MG) has developed, as a unique approach to tackle technical, economic, and environmental difficulties. This study proposes implementing a developed Distributable Resource Management strategy (DRMS) in hybrid Microgrid systems to reduce total net percent cost (TNPC), energy loss (Ploss), and gas emissions (GEM) while taking the cost-benefit index (CBI) and loss of power supply probability (LPSP) as operational constraints. Grey Wolf Optimizer (GWO) was utilized to find the optimal size of the hybrid Microgrid components and calculate the multi-objective function with and without the proposed management method. In addition, a detailed sensitivity analysis of numerous economic and technological parameters was performed to assess system performance. The proposed strategy reduced the system’s total net present cost, power loss, and emissions by (1.06), (8.69), and (17.19), respectively compared to normal operation. Firefly Algorithm (FA) and Particle Swarm Optimization (PSO) techniques were used to verify the results. This study gives a more detailed plan for evaluating the effectiveness of hybrid Microgrid systems from a technical, economic, and environmental perspective. Public Library of Science 2024-02-08 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/106121/1/journal.pone.0298094.pdf Tukkee, Ahmed Sahib and Bin Abdul Wahab, Noor Izzri and Binti Mailah, Nashiren Farzilah and Hassan, Mohd Khair (2024) Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer. PLoS ONE, 19 (2). pp. 1-24. ISSN 1932-6203 https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0298094 10.1371/journal.pone.0298094 |
| spellingShingle | Tukkee, Ahmed Sahib Bin Abdul Wahab, Noor Izzri Binti Mailah, Nashiren Farzilah Hassan, Mohd Khair Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer |
| title | Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer |
| title_full | Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer |
| title_fullStr | Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer |
| title_full_unstemmed | Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer |
| title_short | Optimal performance of stand-alone hybrid microgrid systems based on integrated techno-economic-environmental energy management strategy using the grey wolf optimizer |
| title_sort | optimal performance of stand alone hybrid microgrid systems based on integrated techno economic environmental energy management strategy using the grey wolf optimizer |
| url | http://psasir.upm.edu.my/id/eprint/106121/1/journal.pone.0298094.pdf |
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