Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System

This article presents the control of a three-phase three-wire (3P-3W) dual-stage grid-tied PV-battery storage system using a multi-objective grass-hopper optimization (MOGHO) algorithm. The voltage source converter (VSC) control of the presented system is implemented with adaptive kernel width sixth...

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Autores principales:	Mukul Chankaya, Ikhlaq Hussain, Aijaz Ahmad, Hasmat Malik, Fausto Pedro García Márquez
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	adaptive control battery storage MPPT power electronics power quality photovoltaic Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/e03f2d638c23458ca418aec9420d3d85
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spelling	oai:doaj.org-article:e03f2d638c23458ca418aec9420d3d852021-11-25T17:24:30ZMulti-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System10.3390/electronics102227702079-9292https://doaj.org/article/e03f2d638c23458ca418aec9420d3d852021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2770https://doaj.org/toc/2079-9292This article presents the control of a three-phase three-wire (3P-3W) dual-stage grid-tied PV-battery storage system using a multi-objective grass-hopper optimization (MOGHO) algorithm. The voltage source converter (VSC) control of the presented system is implemented with adaptive kernel width sixth-order maximum correntropy criteria (AKWSOMCC) and maximum power point tracking (MPPT) control is accomplished using the variable step-size incremental conductance (VSS-InC) technique. The proposed VSC control offers lower mean square error and better accuracy, convergence rate and speed as compared to peer adaptive algorithms, i.e., least mean square (LMS), least mean fourth (LMF), maximum correntropy criteria (MCC), etc. The adaptive Gaussian kernel width is a function of the error signal, which changes to accommodate and filter Gaussian and non-Gaussian noise signals in each iteration. The VSS-InC based MPPT is provided with a MOGHO based modulation factor for better and faster tracking of the maximum power point during changing solar irradiation. Similarly, an optimized gain conventional PI controller regulates the DC bus to improve the power quality, and DC link stability during dynamic conditions. The optimized DC-link generates an accurate loss component of current, which further improves the VSC capability of fundamental load current component extraction. The VSC is designed to perform multi-functional operations, i.e., harmonics elimination, reactive power compensation, load balancing and power balancing at point of common coupling during diverse dynamic conditions. The MOSHO based VSS-InC, and DC bus performance is compared to particle swarm optimization (PSO) and genetic algorithm (GA). The proposed system operates satisfactorily as per IEEE519 standards in the MATLAB simulation environment.Mukul ChankayaIkhlaq HussainAijaz AhmadHasmat MalikFausto Pedro García MárquezMDPI AGarticleadaptive controlbattery storageMPPTpower electronicspower qualityphotovoltaicElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2770, p 2770 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	adaptive control battery storage MPPT power electronics power quality photovoltaic Electronics TK7800-8360
spellingShingle	adaptive control battery storage MPPT power electronics power quality photovoltaic Electronics TK7800-8360 Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Hasmat Malik Fausto Pedro García Márquez Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System
description	This article presents the control of a three-phase three-wire (3P-3W) dual-stage grid-tied PV-battery storage system using a multi-objective grass-hopper optimization (MOGHO) algorithm. The voltage source converter (VSC) control of the presented system is implemented with adaptive kernel width sixth-order maximum correntropy criteria (AKWSOMCC) and maximum power point tracking (MPPT) control is accomplished using the variable step-size incremental conductance (VSS-InC) technique. The proposed VSC control offers lower mean square error and better accuracy, convergence rate and speed as compared to peer adaptive algorithms, i.e., least mean square (LMS), least mean fourth (LMF), maximum correntropy criteria (MCC), etc. The adaptive Gaussian kernel width is a function of the error signal, which changes to accommodate and filter Gaussian and non-Gaussian noise signals in each iteration. The VSS-InC based MPPT is provided with a MOGHO based modulation factor for better and faster tracking of the maximum power point during changing solar irradiation. Similarly, an optimized gain conventional PI controller regulates the DC bus to improve the power quality, and DC link stability during dynamic conditions. The optimized DC-link generates an accurate loss component of current, which further improves the VSC capability of fundamental load current component extraction. The VSC is designed to perform multi-functional operations, i.e., harmonics elimination, reactive power compensation, load balancing and power balancing at point of common coupling during diverse dynamic conditions. The MOSHO based VSS-InC, and DC bus performance is compared to particle swarm optimization (PSO) and genetic algorithm (GA). The proposed system operates satisfactorily as per IEEE519 standards in the MATLAB simulation environment.
format	article
author	Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Hasmat Malik Fausto Pedro García Márquez
author_facet	Mukul Chankaya Ikhlaq Hussain Aijaz Ahmad Hasmat Malik Fausto Pedro García Márquez
author_sort	Mukul Chankaya
title	Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System
title_short	Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System
title_full	Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System
title_fullStr	Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System
title_full_unstemmed	Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System
title_sort	multi-objective grasshopper optimization based mppt and vsc control of grid-tied pv-battery system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e03f2d638c23458ca418aec9420d3d85
work_keys_str_mv	AT mukulchankaya multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem AT ikhlaqhussain multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem AT aijazahmad multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem AT hasmatmalik multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem AT faustopedrogarciamarquez multiobjectivegrasshopperoptimizationbasedmpptandvsccontrolofgridtiedpvbatterysystem
_version_	1718412441536167936

Multi-Objective Grasshopper Optimization Based MPPT and VSC Control of Grid-Tied PV-Battery System

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