Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller

The increasing interest in renewable energy-based power systems globally is driven by their abundance and environmentally friendly attributes. Islanded hybrid microgrid systems (IHMS) are a relatively new development in this field and involve the integration of two or more sustainable sources, such...

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Main Author: Sk. A., Shezan (author)
Other Authors: Ishraque, Md. Fatin (author), Shafiullah, GM (author), Kamwa, Innocent (author), Paul, Liton Chandra (author), Muyeen, SM (author), NSS, Ramakrishna (author), Saleheen, Mohammed Zeehan (author), Kumar, Polamarasetty P. (author)
Format: article
Published: 2023
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Online Access:http://dx.doi.org/10.1016/j.egyr.2023.10.016
https://www.sciencedirect.com/science/article/pii/S235248472301449X
http://hdl.handle.net/10576/62138
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_version_ 1857415085063929856
author Sk. A., Shezan
author2 Ishraque, Md. Fatin
Shafiullah, GM
Kamwa, Innocent
Paul, Liton Chandra
Muyeen, SM
NSS, Ramakrishna
Saleheen, Mohammed Zeehan
Kumar, Polamarasetty P.
author2_role author
author
author
author
author
author
author
author
author_facet Sk. A., Shezan
Ishraque, Md. Fatin
Shafiullah, GM
Kamwa, Innocent
Paul, Liton Chandra
Muyeen, SM
NSS, Ramakrishna
Saleheen, Mohammed Zeehan
Kumar, Polamarasetty P.
author_role author
dc.creator.none.fl_str_mv Sk. A., Shezan
Ishraque, Md. Fatin
Shafiullah, GM
Kamwa, Innocent
Paul, Liton Chandra
Muyeen, SM
NSS, Ramakrishna
Saleheen, Mohammed Zeehan
Kumar, Polamarasetty P.
dc.date.none.fl_str_mv 2023-10-10
2025-01-13T11:23:56Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://dx.doi.org/10.1016/j.egyr.2023.10.016
Shezan, S. A., Ishraque, M. F., Shafiullah, G. M., Kamwa, I., Paul, L. C., Muyeen, S. M., ... & Kumar, P. P. (2023). Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller. Energy reports, 10, 3272-3288.
https://www.sciencedirect.com/science/article/pii/S235248472301449X
http://hdl.handle.net/10576/62138
3272-3288
10
2352-4847
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Islanded Microgrid
Optimization
Power System
Control System
Techno-economic Analysis
dc.title.none.fl_str_mv Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
dc.type.none.fl_str_mv Article
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description The increasing interest in renewable energy-based power systems globally is driven by their abundance and environmentally friendly attributes. Islanded hybrid microgrid systems (IHMS) are a relatively new development in this field and involve the integration of two or more sustainable sources, such as wind turbines, solar photovoltaic (PV) systems, and other forms of renewable energy such as the ocean, wave, and geothermal energy. In order to ensure an uninterrupted power supply for the growing community and industrial sector of Perhentian Island, Malaysia, alternative power sources must be properly synchronized and managed through an energy management system. To this end, the main contribution of this study is the comprehensive analysis of various optimization methods in terms of net present cost (NPC) and convergence rate. The results of the analysis indicate that HOMER proved to be relatively faster in terms of convergence rate, with the NPC recorded as 387,185$ and the Levelized Cost of Energy (LCOE) recorded as 0.64$/kWh, which are the least among the other techniques evaluated. The hybrid energy system was designed to acquire the optimal quantity and size of power-generating modules, including PV systems, wind turbines, batteries, and diesel generators, while also meeting the load requirements. The optimization problem incorporated the LCOE and NPC into the cost function. Various optimization techniques were developed and tested. In addition, an advanced control method, which includes the use of Proportional–integral–derivative (PID) control and Fuzzy Logic Controller (FLC) with automated tuning, was applied to manage voltage and frequency. The control strategy was implemented in MATLAB Simulink, along with a full model of the islanded hybrid microgrid system. The simulation results demonstrate the effectiveness of the proposed FLC in maintaining the voltage and frequency within the acceptable range during various operating conditions. In conclusion, this manuscript provides a comprehensive study on the optimization and control of a solar-wind islanded hybrid microgrid. The proposed approach can be used as a valuable tool for the design and operation of solar-wind islanded hybrid microgrids in remote and islanded communities.
eu_rights_str_mv openAccess
format article
id qu_14aa0d6bfa933da0872a5444407cb4ac
identifier_str_mv Shezan, S. A., Ishraque, M. F., Shafiullah, G. M., Kamwa, I., Paul, L. C., Muyeen, S. M., ... & Kumar, P. P. (2023). Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller. Energy reports, 10, 3272-3288.
3272-3288
10
2352-4847
language_invalid_str_mv en
network_acronym_str qu
network_name_str Qatar University repository
oai_identifier_str oai:qspace.qu.edu.qa:10576/62138
publishDate 2023
publisher.none.fl_str_mv Elsevier
repository.mail.fl_str_mv
repository.name.fl_str_mv
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rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
spelling Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controllerSk. A., ShezanIshraque, Md. FatinShafiullah, GMKamwa, InnocentPaul, Liton ChandraMuyeen, SMNSS, RamakrishnaSaleheen, Mohammed ZeehanKumar, Polamarasetty P.Islanded MicrogridOptimizationPower SystemControl SystemTechno-economic AnalysisThe increasing interest in renewable energy-based power systems globally is driven by their abundance and environmentally friendly attributes. Islanded hybrid microgrid systems (IHMS) are a relatively new development in this field and involve the integration of two or more sustainable sources, such as wind turbines, solar photovoltaic (PV) systems, and other forms of renewable energy such as the ocean, wave, and geothermal energy. In order to ensure an uninterrupted power supply for the growing community and industrial sector of Perhentian Island, Malaysia, alternative power sources must be properly synchronized and managed through an energy management system. To this end, the main contribution of this study is the comprehensive analysis of various optimization methods in terms of net present cost (NPC) and convergence rate. The results of the analysis indicate that HOMER proved to be relatively faster in terms of convergence rate, with the NPC recorded as 387,185$ and the Levelized Cost of Energy (LCOE) recorded as 0.64$/kWh, which are the least among the other techniques evaluated. The hybrid energy system was designed to acquire the optimal quantity and size of power-generating modules, including PV systems, wind turbines, batteries, and diesel generators, while also meeting the load requirements. The optimization problem incorporated the LCOE and NPC into the cost function. Various optimization techniques were developed and tested. In addition, an advanced control method, which includes the use of Proportional–integral–derivative (PID) control and Fuzzy Logic Controller (FLC) with automated tuning, was applied to manage voltage and frequency. The control strategy was implemented in MATLAB Simulink, along with a full model of the islanded hybrid microgrid system. The simulation results demonstrate the effectiveness of the proposed FLC in maintaining the voltage and frequency within the acceptable range during various operating conditions. In conclusion, this manuscript provides a comprehensive study on the optimization and control of a solar-wind islanded hybrid microgrid. The proposed approach can be used as a valuable tool for the design and operation of solar-wind islanded hybrid microgrids in remote and islanded communities.This work was supported in part by the Canada National Sciences and Engineering Research Council through the Laval University , Grant ALLRP567550-21 .Elsevier2025-01-13T11:23:56Z2023-10-10Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.egyr.2023.10.016Shezan, S. A., Ishraque, M. F., Shafiullah, G. M., Kamwa, I., Paul, L. C., Muyeen, S. M., ... & Kumar, P. P. (2023). Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller. Energy reports, 10, 3272-3288.https://www.sciencedirect.com/science/article/pii/S235248472301449Xhttp://hdl.handle.net/10576/621383272-3288102352-4847enhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/621382025-01-13T19:05:15Z
spellingShingle Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
Sk. A., Shezan
Islanded Microgrid
Optimization
Power System
Control System
Techno-economic Analysis
status_str publishedVersion
title Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
title_full Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
title_fullStr Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
title_full_unstemmed Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
title_short Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
title_sort Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller
topic Islanded Microgrid
Optimization
Power System
Control System
Techno-economic Analysis
url http://dx.doi.org/10.1016/j.egyr.2023.10.016
https://www.sciencedirect.com/science/article/pii/S235248472301449X
http://hdl.handle.net/10576/62138