Hybrid SCA and adaptive controller to enhance the performance of grid-connected PV system

Future of generation depends on the renewable energy resources due to lack of fuel and the problems of emissions. Photovoltaic (PV) system is a promising type of renewable energy resources. Non uniformity of irradiance, temperature variation, and partial shading conditions are the main disturbances...

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Autores principales:	Mohamed Mokhtar, Mostafa I. Marei, Mahmoud A. Attia
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Shading effect Photovoltaic system Adaptive Controller Optimization PI controller Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/56a7fe87fe0348d2bdf20e64cefbc081
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spelling	oai:doaj.org-article:56a7fe87fe0348d2bdf20e64cefbc0812021-11-22T04:21:55ZHybrid SCA and adaptive controller to enhance the performance of grid-connected PV system2090-447910.1016/j.asej.2021.03.019https://doaj.org/article/56a7fe87fe0348d2bdf20e64cefbc0812021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2090447921001866https://doaj.org/toc/2090-4479Future of generation depends on the renewable energy resources due to lack of fuel and the problems of emissions. Photovoltaic (PV) system is a promising type of renewable energy resources. Non uniformity of irradiance, temperature variation, and partial shading conditions are the main disturbances associated with PV systems. Most of literatures focus on enhancing the PV performance and to achieve Maximum Power Point Tracing (MPPT) based on offline Optimization techniques. These techniques suffer from complicated mathematical burden, long computing time, and should be repeated for any change in the operating conditions/system parameters. This paper proposed a hybrid adaptive controller to improve the system performances under several disturbances, as well as to stabilize the operation of the MPPT. Thus, the proposed controller affords tight and accurate MPPT. The gains of the proposed controller are updated automatically with the variation in the operating conditions. The initialization of the proposed a hybrid adaptive controller is carried out utilizing the Sine-Cosine Algorithm (SCA). Finally, the proposed system is evaluated through comparison with one of the newly presented techniques that achieve accurate MPPT.Mohamed MokhtarMostafa I. MareiMahmoud A. AttiaElsevierarticleShading effectPhotovoltaic systemAdaptive ControllerOptimizationPI controllerEngineering (General). Civil engineering (General)TA1-2040ENAin Shams Engineering Journal, Vol 12, Iss 4, Pp 3775-3781 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Shading effect Photovoltaic system Adaptive Controller Optimization PI controller Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Shading effect Photovoltaic system Adaptive Controller Optimization PI controller Engineering (General). Civil engineering (General) TA1-2040 Mohamed Mokhtar Mostafa I. Marei Mahmoud A. Attia Hybrid SCA and adaptive controller to enhance the performance of grid-connected PV system
description	Future of generation depends on the renewable energy resources due to lack of fuel and the problems of emissions. Photovoltaic (PV) system is a promising type of renewable energy resources. Non uniformity of irradiance, temperature variation, and partial shading conditions are the main disturbances associated with PV systems. Most of literatures focus on enhancing the PV performance and to achieve Maximum Power Point Tracing (MPPT) based on offline Optimization techniques. These techniques suffer from complicated mathematical burden, long computing time, and should be repeated for any change in the operating conditions/system parameters. This paper proposed a hybrid adaptive controller to improve the system performances under several disturbances, as well as to stabilize the operation of the MPPT. Thus, the proposed controller affords tight and accurate MPPT. The gains of the proposed controller are updated automatically with the variation in the operating conditions. The initialization of the proposed a hybrid adaptive controller is carried out utilizing the Sine-Cosine Algorithm (SCA). Finally, the proposed system is evaluated through comparison with one of the newly presented techniques that achieve accurate MPPT.
format	article
author	Mohamed Mokhtar Mostafa I. Marei Mahmoud A. Attia
author_facet	Mohamed Mokhtar Mostafa I. Marei Mahmoud A. Attia
author_sort	Mohamed Mokhtar
title	Hybrid SCA and adaptive controller to enhance the performance of grid-connected PV system
title_short	Hybrid SCA and adaptive controller to enhance the performance of grid-connected PV system
title_full	Hybrid SCA and adaptive controller to enhance the performance of grid-connected PV system
title_fullStr	Hybrid SCA and adaptive controller to enhance the performance of grid-connected PV system
title_full_unstemmed	Hybrid SCA and adaptive controller to enhance the performance of grid-connected PV system
title_sort	hybrid sca and adaptive controller to enhance the performance of grid-connected pv system
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/56a7fe87fe0348d2bdf20e64cefbc081
work_keys_str_mv	AT mohamedmokhtar hybridscaandadaptivecontrollertoenhancetheperformanceofgridconnectedpvsystem AT mostafaimarei hybridscaandadaptivecontrollertoenhancetheperformanceofgridconnectedpvsystem AT mahmoudaattia hybridscaandadaptivecontrollertoenhancetheperformanceofgridconnectedpvsystem
_version_	1718418221834436608

Hybrid SCA and adaptive controller to enhance the performance of grid-connected PV system

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