Implementation of an ADALINE-Based Adaptive Control Strategy for an LCLC-PV-DSTATCOM in Distribution System for Power Quality Improvement

This study investigated the problem of controlling a three-phase three-wire photovoltaic (PV)-type distribution static compensator (DSTATCOM). In order to model, simulate, and control the system, the MATLAB/SIMULINK tool was used. Different controllers were applied to create switching pulses for the...

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Main Authors: Soumya Mishra, Sreejith Rajashekaran, Pavan Kalyan Mohan, Spoorthi Mathad Lokesh, Hemalatha Jyothinagaravaishya Ganiga, Santanu Kumar Dash, Michele Roccotelli
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/16/1/323
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author Soumya Mishra
Sreejith Rajashekaran
Pavan Kalyan Mohan
Spoorthi Mathad Lokesh
Hemalatha Jyothinagaravaishya Ganiga
Santanu Kumar Dash
Michele Roccotelli
author_facet Soumya Mishra
Sreejith Rajashekaran
Pavan Kalyan Mohan
Spoorthi Mathad Lokesh
Hemalatha Jyothinagaravaishya Ganiga
Santanu Kumar Dash
Michele Roccotelli
author_sort Soumya Mishra
collection DOAJ
description This study investigated the problem of controlling a three-phase three-wire photovoltaic (PV)-type distribution static compensator (DSTATCOM). In order to model, simulate, and control the system, the MATLAB/SIMULINK tool was used. Different controllers were applied to create switching pulses for the IGBT-based voltage source converter (VSC) for the mitigation of various power quality issues in the PV-DSTATCOM. Traditional control algorithms guarantee faultless execution or outcomes only for a restricted range of operating situations due to their present design. Alternative regulators depend on more resilient neural network and fuzzy logic algorithms that may be programmed to operate in a variety of settings. In this study, an adaptive linear neural network (ADALINE) was proposed to solve the control problem more efficiently than the existing methods. The ADALINE method was simulated and the results were compared with the results of the synchronous reference frame theory (SRFT), improved linear sinusoidal tracer (ILST), and backpropagation (BP) algorithms. The simulation results showed that the proposed ADALINE method outperformed the compared algorithms. In addition, the total harmonic distortions (THDs) of the source current were estimated under ideal grid voltage conditions based on IEEE-929 and IEEE-519 guidelines.
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spelling doaj.art-93d9a7eb682e4631819bc1557fa38e052023-11-16T15:17:41ZengMDPI AGEnergies1996-10732022-12-0116132310.3390/en16010323Implementation of an ADALINE-Based Adaptive Control Strategy for an LCLC-PV-DSTATCOM in Distribution System for Power Quality ImprovementSoumya Mishra0Sreejith Rajashekaran1Pavan Kalyan Mohan2Spoorthi Mathad Lokesh3Hemalatha Jyothinagaravaishya Ganiga4Santanu Kumar Dash5Michele Roccotelli6Department of Electrical Engineering, MVJ College of Engineering, Bengaluru 560067, IndiaDepartment of Electrical Engineering, MVJ College of Engineering, Bengaluru 560067, IndiaDepartment of Electrical Engineering, MVJ College of Engineering, Bengaluru 560067, IndiaDepartment of Electrical Engineering, MVJ College of Engineering, Bengaluru 560067, IndiaDepartment of Electrical Engineering, MVJ College of Engineering, Bengaluru 560067, IndiaTIFAC-CORE, Vellore Institute of Technology, Vellore 632014, IndiaDepartment of Electrical and Information Engineering (DEI), Politecnico di Bari, Via Orabona, 4, 70125 Bari, ItalyThis study investigated the problem of controlling a three-phase three-wire photovoltaic (PV)-type distribution static compensator (DSTATCOM). In order to model, simulate, and control the system, the MATLAB/SIMULINK tool was used. Different controllers were applied to create switching pulses for the IGBT-based voltage source converter (VSC) for the mitigation of various power quality issues in the PV-DSTATCOM. Traditional control algorithms guarantee faultless execution or outcomes only for a restricted range of operating situations due to their present design. Alternative regulators depend on more resilient neural network and fuzzy logic algorithms that may be programmed to operate in a variety of settings. In this study, an adaptive linear neural network (ADALINE) was proposed to solve the control problem more efficiently than the existing methods. The ADALINE method was simulated and the results were compared with the results of the synchronous reference frame theory (SRFT), improved linear sinusoidal tracer (ILST), and backpropagation (BP) algorithms. The simulation results showed that the proposed ADALINE method outperformed the compared algorithms. In addition, the total harmonic distortions (THDs) of the source current were estimated under ideal grid voltage conditions based on IEEE-929 and IEEE-519 guidelines.https://www.mdpi.com/1996-1073/16/1/323ADALINEBPDSTATCOMharmonicsILSTload-balancing
spellingShingle Soumya Mishra
Sreejith Rajashekaran
Pavan Kalyan Mohan
Spoorthi Mathad Lokesh
Hemalatha Jyothinagaravaishya Ganiga
Santanu Kumar Dash
Michele Roccotelli
Implementation of an ADALINE-Based Adaptive Control Strategy for an LCLC-PV-DSTATCOM in Distribution System for Power Quality Improvement
Energies
ADALINE
BP
DSTATCOM
harmonics
ILST
load-balancing
title Implementation of an ADALINE-Based Adaptive Control Strategy for an LCLC-PV-DSTATCOM in Distribution System for Power Quality Improvement
title_full Implementation of an ADALINE-Based Adaptive Control Strategy for an LCLC-PV-DSTATCOM in Distribution System for Power Quality Improvement
title_fullStr Implementation of an ADALINE-Based Adaptive Control Strategy for an LCLC-PV-DSTATCOM in Distribution System for Power Quality Improvement
title_full_unstemmed Implementation of an ADALINE-Based Adaptive Control Strategy for an LCLC-PV-DSTATCOM in Distribution System for Power Quality Improvement
title_short Implementation of an ADALINE-Based Adaptive Control Strategy for an LCLC-PV-DSTATCOM in Distribution System for Power Quality Improvement
title_sort implementation of an adaline based adaptive control strategy for an lclc pv dstatcom in distribution system for power quality improvement
topic ADALINE
BP
DSTATCOM
harmonics
ILST
load-balancing
url https://www.mdpi.com/1996-1073/16/1/323
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