Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller

This paper presents a novel method of power quality enrichment in a grid-connected photovoltaic (PV) system using a distribution static compensator (DSTATCOM). The paper consists of two-step control processes. In the primary step, a fuzzy logic controller (FLC) is employed in the DC-DC converter to...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Amit Kumar, Pradeep Kumar
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Adaptive linear neuron least mean square (LMS) fuzzy logic controller (FLC) maximum power point tracking (MPPT) photovoltaic (PV) unit vector template Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
Acceso en línea:	https://doaj.org/article/fcc5df0f92aa44a3ac685bb75bded957
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:fcc5df0f92aa44a3ac685bb75bded957
record_format	dspace
spelling	oai:doaj.org-article:fcc5df0f92aa44a3ac685bb75bded9572021-11-30T00:00:21ZPower Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller2196-542010.35833/MPCE.2021.000285https://doaj.org/article/fcc5df0f92aa44a3ac685bb75bded9572021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9627867/https://doaj.org/toc/2196-5420This paper presents a novel method of power quality enrichment in a grid-connected photovoltaic (PV) system using a distribution static compensator (DSTATCOM). The paper consists of two-step control processes. In the primary step, a fuzzy logic controller (FLC) is employed in the DC-DC converter to extract the peak power point from the PV panel, where the FLC produces a switching signal for the DC-DC converter. In the secondary step, a unit vector template (UVT)/adaptive linear neuron (ADALINE)-based least mean square (LMS) controller is adopted in the DC-AC converter, i.e., voltage source converter (VSC). The input to this VSC is the boosted DC voltage, which originates from the PV panel as a result of DC-DC conversion. The VSC shunted with the power grid is known as a DSTATCOM, which can maintain the power quality in the distribution system. The UVT controller generates reference source currents from the grid voltages and DC-link voltages. The ADALINE-based LMS controller calculates the online weight according to the previous weights by the sensed load current. The UVT/ADALINE-based LMS controller of a DSTAT-COM performs several tasks such as maintaining the sinusoidal source current, achieving a unity power factor, and performing reactive power compensation. The reference current extracted from the UVT/ADALINE-based LMS controller is fed to the hysteresis current controller to obtain the desired switching signal for the VSC. A 100 kW solar PV system integrated into a three-phase four-wire distribution system through a four-leg VSC is designed in MATLAB/Simulink. The performances of the FLC and UVT/ADALINE-based LMS controllers are demonstrated under various irradiances as well as constant temperature and nonlinear loading conditions.Amit KumarPradeep KumarIEEEarticleAdaptive linear neuronleast mean square (LMS)fuzzy logic controller (FLC)maximum power point tracking (MPPT)photovoltaic (PV)unit vector templateProduction of electric energy or power. Powerplants. Central stationsTK1001-1841Renewable energy sourcesTJ807-830ENJournal of Modern Power Systems and Clean Energy, Vol 9, Iss 6, Pp 1289-1299 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Adaptive linear neuron least mean square (LMS) fuzzy logic controller (FLC) maximum power point tracking (MPPT) photovoltaic (PV) unit vector template Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830
spellingShingle	Adaptive linear neuron least mean square (LMS) fuzzy logic controller (FLC) maximum power point tracking (MPPT) photovoltaic (PV) unit vector template Production of electric energy or power. Powerplants. Central stations TK1001-1841 Renewable energy sources TJ807-830 Amit Kumar Pradeep Kumar Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller
description	This paper presents a novel method of power quality enrichment in a grid-connected photovoltaic (PV) system using a distribution static compensator (DSTATCOM). The paper consists of two-step control processes. In the primary step, a fuzzy logic controller (FLC) is employed in the DC-DC converter to extract the peak power point from the PV panel, where the FLC produces a switching signal for the DC-DC converter. In the secondary step, a unit vector template (UVT)/adaptive linear neuron (ADALINE)-based least mean square (LMS) controller is adopted in the DC-AC converter, i.e., voltage source converter (VSC). The input to this VSC is the boosted DC voltage, which originates from the PV panel as a result of DC-DC conversion. The VSC shunted with the power grid is known as a DSTATCOM, which can maintain the power quality in the distribution system. The UVT controller generates reference source currents from the grid voltages and DC-link voltages. The ADALINE-based LMS controller calculates the online weight according to the previous weights by the sensed load current. The UVT/ADALINE-based LMS controller of a DSTAT-COM performs several tasks such as maintaining the sinusoidal source current, achieving a unity power factor, and performing reactive power compensation. The reference current extracted from the UVT/ADALINE-based LMS controller is fed to the hysteresis current controller to obtain the desired switching signal for the VSC. A 100 kW solar PV system integrated into a three-phase four-wire distribution system through a four-leg VSC is designed in MATLAB/Simulink. The performances of the FLC and UVT/ADALINE-based LMS controllers are demonstrated under various irradiances as well as constant temperature and nonlinear loading conditions.
format	article
author	Amit Kumar Pradeep Kumar
author_facet	Amit Kumar Pradeep Kumar
author_sort	Amit Kumar
title	Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller
title_short	Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller
title_full	Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller
title_fullStr	Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller
title_full_unstemmed	Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller
title_sort	power quality improvement for grid-connected pv system based on distribution static compensator with fuzzy logic controller and uvt/adaline-based least mean square controller
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/fcc5df0f92aa44a3ac685bb75bded957
work_keys_str_mv	AT amitkumar powerqualityimprovementforgridconnectedpvsystembasedondistributionstaticcompensatorwithfuzzylogiccontrolleranduvtadalinebasedleastmeansquarecontroller AT pradeepkumar powerqualityimprovementforgridconnectedpvsystembasedondistributionstaticcompensatorwithfuzzylogiccontrolleranduvtadalinebasedleastmeansquarecontroller
_version_	1718406901940617216

Power Quality Improvement for Grid-connected PV System Based on Distribution Static Compensator with Fuzzy Logic Controller and UVT/ADALINE-based Least Mean Square Controller

Ejemplares similares