A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability
<p dir="ltr">The rapid growth of modern civilization has led to increased global warming and climate challenges. Variations in atmospheric temperature, sunlight intensity and other factors significantly impact the performance of photovoltaic (PV) systems. To maximize energy productio...
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2025
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| author | Debabrata Mazumdar (18560506) |
| author2 | Taha Selim Ustun (16869915) Chiranjit Sain (12507415) Ahmet Onen (20838293) |
| author2_role | author author author |
| author_facet | Debabrata Mazumdar (18560506) Taha Selim Ustun (16869915) Chiranjit Sain (12507415) Ahmet Onen (20838293) |
| author_role | author |
| dc.creator.none.fl_str_mv | Debabrata Mazumdar (18560506) Taha Selim Ustun (16869915) Chiranjit Sain (12507415) Ahmet Onen (20838293) |
| dc.date.none.fl_str_mv | 2025-04-17T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1002/ese3.70052 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_High_Performance_MPPT_Solution_for_Solar_DC_Microgrids_Leveraging_the_Hippopotamus_Algorithm_for_Greater_Efficiency_and_Stability/29665436 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Chemical engineering Control engineering, mechatronics and robotics Electrical engineering Environmental engineering Mathematical sciences Numerical and computational mathematics Hippopotamus algorithm Maximum power point Partial shading condition PV microgrids |
| dc.title.none.fl_str_mv | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The rapid growth of modern civilization has led to increased global warming and climate challenges. Variations in atmospheric temperature, sunlight intensity and other factors significantly impact the performance of photovoltaic (PV) systems. To maximize energy production, these systems must operate efficiently at their Maximum Power Point under varying weather conditions. This study introduces a new Hippopotamus Algorithm (HA) designed for Maximum Power Point Tracking (MPPT) in solar PV systems connected to direct current (DC) microgrids. Performance of HA's is compared with three established optimization algorithms: Grey Wolf Optimization, Cuckoo Search Algorithm and Particle‐Swarm Optimization across different operating scenarios and partial shading circumstances. Obtained results demonstrate that the HA not only achieves higher power output but also responds faster than existing methods. In each of the partial shading conditions, the efficiency range of proposed methods are 82.16% and 89.92%, respectively, and in the temperature variation case the efficiency is 84.67% which is far better than the other three approaches. As per stability concerns, the proposed HA‐based MPPT approach attains minimal settling time and gives steady‐state stable output power to its load in both partial shading, temperature fluctuation and steady‐state conditions. A comparative analysis is also shown in tabular form in this article. Additionally, it effectively manages bidirectional power flow in both stable and fluctuating weather conditions. This approach ensures a resilient and sustainable architecture for low power generating situations when a DC microgrid is integrated with an HA‐based MPPT system.</p><h2>Other Information</h2><p dir="ltr">Published in: Energy Science & Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/ese3.70052" target="_blank">https://dx.doi.org/10.1002/ese3.70052</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_de5d8cdf22302bb279c60f73ae80aef3 |
| identifier_str_mv | 10.1002/ese3.70052 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29665436 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and StabilityDebabrata Mazumdar (18560506)Taha Selim Ustun (16869915)Chiranjit Sain (12507415)Ahmet Onen (20838293)EngineeringChemical engineeringControl engineering, mechatronics and roboticsElectrical engineeringEnvironmental engineeringMathematical sciencesNumerical and computational mathematicsHippopotamus algorithmMaximum power pointPartial shading conditionPV microgrids<p dir="ltr">The rapid growth of modern civilization has led to increased global warming and climate challenges. Variations in atmospheric temperature, sunlight intensity and other factors significantly impact the performance of photovoltaic (PV) systems. To maximize energy production, these systems must operate efficiently at their Maximum Power Point under varying weather conditions. This study introduces a new Hippopotamus Algorithm (HA) designed for Maximum Power Point Tracking (MPPT) in solar PV systems connected to direct current (DC) microgrids. Performance of HA's is compared with three established optimization algorithms: Grey Wolf Optimization, Cuckoo Search Algorithm and Particle‐Swarm Optimization across different operating scenarios and partial shading circumstances. Obtained results demonstrate that the HA not only achieves higher power output but also responds faster than existing methods. In each of the partial shading conditions, the efficiency range of proposed methods are 82.16% and 89.92%, respectively, and in the temperature variation case the efficiency is 84.67% which is far better than the other three approaches. As per stability concerns, the proposed HA‐based MPPT approach attains minimal settling time and gives steady‐state stable output power to its load in both partial shading, temperature fluctuation and steady‐state conditions. A comparative analysis is also shown in tabular form in this article. Additionally, it effectively manages bidirectional power flow in both stable and fluctuating weather conditions. This approach ensures a resilient and sustainable architecture for low power generating situations when a DC microgrid is integrated with an HA‐based MPPT system.</p><h2>Other Information</h2><p dir="ltr">Published in: Energy Science & Engineering<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/ese3.70052" target="_blank">https://dx.doi.org/10.1002/ese3.70052</a></p>2025-04-17T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/ese3.70052https://figshare.com/articles/journal_contribution/A_High_Performance_MPPT_Solution_for_Solar_DC_Microgrids_Leveraging_the_Hippopotamus_Algorithm_for_Greater_Efficiency_and_Stability/29665436CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/296654362025-04-17T03:00:00Z |
| spellingShingle | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability Debabrata Mazumdar (18560506) Engineering Chemical engineering Control engineering, mechatronics and robotics Electrical engineering Environmental engineering Mathematical sciences Numerical and computational mathematics Hippopotamus algorithm Maximum power point Partial shading condition PV microgrids |
| status_str | publishedVersion |
| title | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability |
| title_full | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability |
| title_fullStr | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability |
| title_full_unstemmed | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability |
| title_short | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability |
| title_sort | A High‐Performance MPPT Solution for Solar DC Microgrids: Leveraging the Hippopotamus Algorithm for Greater Efficiency and Stability |
| topic | Engineering Chemical engineering Control engineering, mechatronics and robotics Electrical engineering Environmental engineering Mathematical sciences Numerical and computational mathematics Hippopotamus algorithm Maximum power point Partial shading condition PV microgrids |