Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.

The lack of control in voltage overshoot, transient response, and steady state error are major issues that are frequently encountered in a grid-connected photovoltaic (PV) system, resulting in poor power quality performance and damages to the overall power system. This paper presents the performance...

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Autores principales:	M F Roslan, Ali Q Al-Shetwi, M A Hannan, P J Ker, A W M Zuhdi
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f0f004df73ea44e2846a81351ac60604
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spelling	oai:doaj.org-article:f0f004df73ea44e2846a81351ac606042021-12-02T20:11:27ZParticle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.1932-620310.1371/journal.pone.0243581https://doaj.org/article/f0f004df73ea44e2846a81351ac606042020-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0243581https://doaj.org/toc/1932-6203The lack of control in voltage overshoot, transient response, and steady state error are major issues that are frequently encountered in a grid-connected photovoltaic (PV) system, resulting in poor power quality performance and damages to the overall power system. This paper presents the performance of a control strategy for an inverter in a three-phase grid-connected PV system. The system consists of a PV panel, a boost converter, a DC link, an inverter, and a resistor-inductor (RL) filter and is connected to the utility grid through a voltage source inverter. The main objective of the proposed strategy is to improve the power quality performance of the three-phase grid-connected inverter system by optimising the proportional-integral (PI) controller. Such a strategy aims to reduce the DC link input voltage fluctuation, decrease the harmonics, and stabilise the output current, voltage, frequency, and power flow. The particle swarm optimisation (PSO) technique was implemented to tune the PI controller parameters by minimising the error of the voltage regulator and current controller schemes in the inverter system. The system model and control strategies were implemented using MATLAB/Simulink environment (Version 2020A) Simscape-Power system toolbox. Results show that the proposed strategy outperformed other reported research works with total harmonic distortion (THD) at a grid voltage and current of 0.29% and 2.72%, respectively, and a transient response time of 0.1853s. Compared to conventional systems, the PI controller with PSO-based optimization provides less voltage overshoot by 11.1% while reducing the time to reach equilibrium state by 32.6%. The consideration of additional input parameters and the optimization of input parameters were identified to be the two main factors that contribute to the significant improvements in power quality control. Therefore, the proposed strategy effectively enhances the power quality of the utility grid, and such an enhancement contributes to the efficient and smooth integration of the PV system.M F RoslanAli Q Al-ShetwiM A HannanP J KerA W M ZuhdiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 15, Iss 12, p e0243581 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q M F Roslan Ali Q Al-Shetwi M A Hannan P J Ker A W M Zuhdi Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.
description	The lack of control in voltage overshoot, transient response, and steady state error are major issues that are frequently encountered in a grid-connected photovoltaic (PV) system, resulting in poor power quality performance and damages to the overall power system. This paper presents the performance of a control strategy for an inverter in a three-phase grid-connected PV system. The system consists of a PV panel, a boost converter, a DC link, an inverter, and a resistor-inductor (RL) filter and is connected to the utility grid through a voltage source inverter. The main objective of the proposed strategy is to improve the power quality performance of the three-phase grid-connected inverter system by optimising the proportional-integral (PI) controller. Such a strategy aims to reduce the DC link input voltage fluctuation, decrease the harmonics, and stabilise the output current, voltage, frequency, and power flow. The particle swarm optimisation (PSO) technique was implemented to tune the PI controller parameters by minimising the error of the voltage regulator and current controller schemes in the inverter system. The system model and control strategies were implemented using MATLAB/Simulink environment (Version 2020A) Simscape-Power system toolbox. Results show that the proposed strategy outperformed other reported research works with total harmonic distortion (THD) at a grid voltage and current of 0.29% and 2.72%, respectively, and a transient response time of 0.1853s. Compared to conventional systems, the PI controller with PSO-based optimization provides less voltage overshoot by 11.1% while reducing the time to reach equilibrium state by 32.6%. The consideration of additional input parameters and the optimization of input parameters were identified to be the two main factors that contribute to the significant improvements in power quality control. Therefore, the proposed strategy effectively enhances the power quality of the utility grid, and such an enhancement contributes to the efficient and smooth integration of the PV system.
format	article
author	M F Roslan Ali Q Al-Shetwi M A Hannan P J Ker A W M Zuhdi
author_facet	M F Roslan Ali Q Al-Shetwi M A Hannan P J Ker A W M Zuhdi
author_sort	M F Roslan
title	Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.
title_short	Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.
title_full	Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.
title_fullStr	Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.
title_full_unstemmed	Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.
title_sort	particle swarm optimization algorithm-based pi inverter controller for a grid-connected pv system.
publisher	Public Library of Science (PLoS)
publishDate	2020
url	https://doaj.org/article/f0f004df73ea44e2846a81351ac60604
work_keys_str_mv	AT mfroslan particleswarmoptimizationalgorithmbasedpiinvertercontrollerforagridconnectedpvsystem AT aliqalshetwi particleswarmoptimizationalgorithmbasedpiinvertercontrollerforagridconnectedpvsystem AT mahannan particleswarmoptimizationalgorithmbasedpiinvertercontrollerforagridconnectedpvsystem AT pjker particleswarmoptimizationalgorithmbasedpiinvertercontrollerforagridconnectedpvsystem AT awmzuhdi particleswarmoptimizationalgorithmbasedpiinvertercontrollerforagridconnectedpvsystem
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Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system.

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