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

Simple item page
dc.citedby13
dc.contributor.authorRoslan M.F.en_US
dc.contributor.authorAl-Shetwi A.Q.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorZuhdi A.W.M.en_US
dc.contributor.authorid57220188085en_US
dc.contributor.authorid57004922700en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid56589966300en_US
dc.date.accessioned2023-05-29T08:06:49Z
dc.date.available2023-05-29T08:06:49Z
dc.date.issued2020
dc.descriptionArticle; controlled study; direct current; electric current; electric potential; electrical parameters; intermethod comparison; inverter; particle swarm optimization; performance; power quality performance; resistor inductor filter; software; total harmonic distortion; transient response time; voltage overshoot; algorithm; electricity; equipment design; power supply; renewable energy; Algorithms; Electric Power Supplies; Electricity; Equipment Design; Renewable Energyen_US
dc.description.abstractThe 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 gridconnected 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. Copyright � 2020 Roslan et al.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNoe0243581
dc.identifier.doi10.1371/journal.pone.0243581
dc.identifier.issue12-Dec
dc.identifier.scopus2-s2.0-85099070661
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099070661&doi=10.1371%2fjournal.pone.0243581&partnerID=40&md5=e78e0e32569e1dea99878146f073ec88
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25109
dc.identifier.volume15
dc.publisherPublic Library of Scienceen_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitlePLoS ONE
dc.titleParticle swarm optimization algorithm-based PI inverter controller for a grid-connected PV systemen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS