Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach
<p dir="ltr">The output of photovoltaic (PV) systems is significantly impacted by the vagaries of ambient temperature, solar irradiance, and environmental fluctuations. To achieve the utmost attainable power from PV systems, it is desired to be efficient at the maximum power point in...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , |
| منشور في: |
2024
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513509676548096 |
|---|---|
| author | Debabrata Mazumdar (18560506) |
| author2 | Pabitra Kumar Biswas (12757316) Chiranjit Sain (12507415) Furkan Ahmad (709809) Rishiraj Sarker (19325944) Taha Selim Ustun (16869915) |
| author2_role | author author author author author |
| author_facet | Debabrata Mazumdar (18560506) Pabitra Kumar Biswas (12757316) Chiranjit Sain (12507415) Furkan Ahmad (709809) Rishiraj Sarker (19325944) Taha Selim Ustun (16869915) |
| author_role | author |
| dc.creator.none.fl_str_mv | Debabrata Mazumdar (18560506) Pabitra Kumar Biswas (12757316) Chiranjit Sain (12507415) Furkan Ahmad (709809) Rishiraj Sarker (19325944) Taha Selim Ustun (16869915) |
| dc.date.none.fl_str_mv | 2024-04-17T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1155/2024/5525066 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Optimizing_MPPT_Control_for_Enhanced_Efficiency_in_Sustainable_Photovoltaic_Microgrids_A_DSO-Based_Approach/26491120 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Environmental engineering Environmental sciences Ecological applications Environmental management Photovoltaic (PV) Systems Solar Irradiance Ambient Temperature Environmental Fluctuations Drone Squadron Optimization (DSO) Optimization Algorithms Weather Climates |
| dc.title.none.fl_str_mv | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The output of photovoltaic (PV) systems is significantly impacted by the vagaries of ambient temperature, solar irradiance, and environmental fluctuations. To achieve the utmost attainable power from PV systems, it is desired to be efficient at the maximum power point in diverse weather climates. Maximum power point tracking (MPPT) is used to schedule a designated location from where the highest power can be harvested. In the context of solar photovoltaic systems connected with DC microgrid platforms, this study introduces a recently developed drone squadron optimization (DSO) scheme that tracks the global maximum power point under PSCS difficulties. Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. The suggested method performs noticeably faster than many other methods currently in use, and in addition to offering the highest power, it can also use bidirectional power flow regulation in both constant and variable air conditions. Lastly, an MPPT system interfaced with the DC microgrid based on DSO ensures a sustainable and reliable architecture to provide at load in low power generating situations.</p><h2>Other Information</h2><p dir="ltr">Published in: International Transactions on Electrical Energy Systems<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1155/2024/5525066" target="_blank">https://dx.doi.org/10.1155/2024/5525066</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_1d31b16b0c4a6a7c2b9cb2a5b4ddd185 |
| identifier_str_mv | 10.1155/2024/5525066 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26491120 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based ApproachDebabrata Mazumdar (18560506)Pabitra Kumar Biswas (12757316)Chiranjit Sain (12507415)Furkan Ahmad (709809)Rishiraj Sarker (19325944)Taha Selim Ustun (16869915)EngineeringEnvironmental engineeringEnvironmental sciencesEcological applicationsEnvironmental managementPhotovoltaic (PV) SystemsSolar IrradianceAmbient TemperatureEnvironmental FluctuationsDrone Squadron Optimization (DSO)Optimization AlgorithmsWeather Climates<p dir="ltr">The output of photovoltaic (PV) systems is significantly impacted by the vagaries of ambient temperature, solar irradiance, and environmental fluctuations. To achieve the utmost attainable power from PV systems, it is desired to be efficient at the maximum power point in diverse weather climates. Maximum power point tracking (MPPT) is used to schedule a designated location from where the highest power can be harvested. In the context of solar photovoltaic systems connected with DC microgrid platforms, this study introduces a recently developed drone squadron optimization (DSO) scheme that tracks the global maximum power point under PSCS difficulties. Furthermore, an exhaustive comparative analysis has been presented among particle swarm optimization (PSO), cuckoo search algorithm (CUSA), and grey wolf optimization (GWO) under different operating environments to endorse the supremacy of the nominated technique. The suggested method performs noticeably faster than many other methods currently in use, and in addition to offering the highest power, it can also use bidirectional power flow regulation in both constant and variable air conditions. Lastly, an MPPT system interfaced with the DC microgrid based on DSO ensures a sustainable and reliable architecture to provide at load in low power generating situations.</p><h2>Other Information</h2><p dir="ltr">Published in: International Transactions on Electrical Energy Systems<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1155/2024/5525066" target="_blank">https://dx.doi.org/10.1155/2024/5525066</a></p>2024-04-17T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1155/2024/5525066https://figshare.com/articles/journal_contribution/Optimizing_MPPT_Control_for_Enhanced_Efficiency_in_Sustainable_Photovoltaic_Microgrids_A_DSO-Based_Approach/26491120CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/264911202024-04-17T09:00:00Z |
| spellingShingle | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach Debabrata Mazumdar (18560506) Engineering Environmental engineering Environmental sciences Ecological applications Environmental management Photovoltaic (PV) Systems Solar Irradiance Ambient Temperature Environmental Fluctuations Drone Squadron Optimization (DSO) Optimization Algorithms Weather Climates |
| status_str | publishedVersion |
| title | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach |
| title_full | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach |
| title_fullStr | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach |
| title_full_unstemmed | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach |
| title_short | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach |
| title_sort | Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach |
| topic | Engineering Environmental engineering Environmental sciences Ecological applications Environmental management Photovoltaic (PV) Systems Solar Irradiance Ambient Temperature Environmental Fluctuations Drone Squadron Optimization (DSO) Optimization Algorithms Weather Climates |