Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems

The changing weather conditions and Partial Shading Situation (PSS) create numerous challenges in harvesting available maximum power from the solar Photovoltaic (PV) systems. The limitations of classical and bio-inspired optimization-based Maximum Power Point Tracking (MPPT) methods are incapable of...

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Autores principales:	Annapoorani Subramanian, Jayaparvathy Raman
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2022
Materias:	solar photovoltaic systems maximum power point tracking seagull optimization algorithm partial shading condition dc-dc boost converter Control engineering systems. Automatic machinery (General) TJ212-225 Automation T59.5
Acceso en línea:	https://doaj.org/article/a5f2307a0c254944a54253265610a8bb
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spelling	oai:doaj.org-article:a5f2307a0c254944a54253265610a8bb2021-12-01T14:40:58ZModified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems0005-11441848-338010.1080/00051144.2021.1997253https://doaj.org/article/a5f2307a0c254944a54253265610a8bb2022-01-01T00:00:00Zhttp://dx.doi.org/10.1080/00051144.2021.1997253https://doaj.org/toc/0005-1144https://doaj.org/toc/1848-3380The changing weather conditions and Partial Shading Situation (PSS) create numerous challenges in harvesting available maximum power from the solar Photovoltaic (PV) systems. The limitations of classical and bio-inspired optimization-based Maximum Power Point Tracking (MPPT) methods are incapable of extracting maximum power under PSS. Therefore, this paper presents a Modified Seagull Optimization Algorithm (MSOA) based MPPT approach by incorporating Levy Flight Mechanism (LFM) and the formula for heat exchange in Thermal Exchange Optimization (TEO) in the original Seagull Optimization Algorithm (SOA) for accurate tracking of Global Maximum Power Point (GMPP) under transient and steady state operating conditions. The MSOA increases the capability of optimization in finding the optimal value of boost DC-DC converter’s duty cycle, D, for operating at GMPP. The superiority of the presented MPPT approach is contrasted with SOA MPPT under uniform irradiation situation and partial shading situations using Matlab Simulink platform. With the presented MSOA MPPT, the settling time and percentage maximum overshoot are reduced by 0.92 times and 0.55 times in comparison to SOA MPPT with increased efficiency. The hardware results validated the simulation results proving the proposed MSOA MPPT as an efficient MPPT for solar PV systems.Annapoorani SubramanianJayaparvathy RamanTaylor & Francis Grouparticlesolar photovoltaic systemsmaximum power point trackingseagull optimization algorithmpartial shading conditiondc-dc boost converterControl engineering systems. Automatic machinery (General)TJ212-225AutomationT59.5ENAutomatika, Vol 63, Iss 1, Pp 1-15 (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	solar photovoltaic systems maximum power point tracking seagull optimization algorithm partial shading condition dc-dc boost converter Control engineering systems. Automatic machinery (General) TJ212-225 Automation T59.5
spellingShingle	solar photovoltaic systems maximum power point tracking seagull optimization algorithm partial shading condition dc-dc boost converter Control engineering systems. Automatic machinery (General) TJ212-225 Automation T59.5 Annapoorani Subramanian Jayaparvathy Raman Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems
description	The changing weather conditions and Partial Shading Situation (PSS) create numerous challenges in harvesting available maximum power from the solar Photovoltaic (PV) systems. The limitations of classical and bio-inspired optimization-based Maximum Power Point Tracking (MPPT) methods are incapable of extracting maximum power under PSS. Therefore, this paper presents a Modified Seagull Optimization Algorithm (MSOA) based MPPT approach by incorporating Levy Flight Mechanism (LFM) and the formula for heat exchange in Thermal Exchange Optimization (TEO) in the original Seagull Optimization Algorithm (SOA) for accurate tracking of Global Maximum Power Point (GMPP) under transient and steady state operating conditions. The MSOA increases the capability of optimization in finding the optimal value of boost DC-DC converter’s duty cycle, D, for operating at GMPP. The superiority of the presented MPPT approach is contrasted with SOA MPPT under uniform irradiation situation and partial shading situations using Matlab Simulink platform. With the presented MSOA MPPT, the settling time and percentage maximum overshoot are reduced by 0.92 times and 0.55 times in comparison to SOA MPPT with increased efficiency. The hardware results validated the simulation results proving the proposed MSOA MPPT as an efficient MPPT for solar PV systems.
format	article
author	Annapoorani Subramanian Jayaparvathy Raman
author_facet	Annapoorani Subramanian Jayaparvathy Raman
author_sort	Annapoorani Subramanian
title	Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems
title_short	Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems
title_full	Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems
title_fullStr	Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems
title_full_unstemmed	Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems
title_sort	modified seagull optimization algorithm based mppt for augmented performance of photovoltaic solar energy systems
publisher	Taylor & Francis Group
publishDate	2022
url	https://doaj.org/article/a5f2307a0c254944a54253265610a8bb
work_keys_str_mv	AT annapooranisubramanian modifiedseagulloptimizationalgorithmbasedmpptforaugmentedperformanceofphotovoltaicsolarenergysystems AT jayaparvathyraman modifiedseagulloptimizationalgorithmbasedmpptforaugmentedperformanceofphotovoltaicsolarenergysystems
_version_	1718405011380109312

Modified Seagull Optimization Algorithm based MPPT for augmented performance of Photovoltaic solar energy systems

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