Harmonic Distortion Prediction Model of a Grid -Connected Photovoltaic Using Grey Wolf Optimizer - Least Square Support Vector Machine

Forecasting; Harmonic analysis; Harmonic distortion; Heuristic algorithms; Heuristic methods; Irradiation; Particle swarm optimization (PSO); Photovoltaic cells; Renewable energy resources; Solar radiation; Support vector machines; Distortion predictions; Environmental awareness; Grid-connected phot...

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Main Authors: Yasin Z.M., Ashida Salim N., Ab Aziz N.F.
Other Authors: 57211410254
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-242482023-05-29T15:22:26Z Harmonic Distortion Prediction Model of a Grid -Connected Photovoltaic Using Grey Wolf Optimizer - Least Square Support Vector Machine Yasin Z.M. Ashida Salim N. Ab Aziz N.F. 57211410254 57217177911 57221906825 Forecasting; Harmonic analysis; Harmonic distortion; Heuristic algorithms; Heuristic methods; Irradiation; Particle swarm optimization (PSO); Photovoltaic cells; Renewable energy resources; Solar radiation; Support vector machines; Distortion predictions; Environmental awareness; Grid-connected photovoltaic; Grid-connected photovoltaic system; Least square support vector machines; Photovoltaic systems; Prediction accuracy; Total harmonic distortion (THD); Least squares approximations This paper depicts a new technique for prediction of the total harmonic distortion (THD) in Grid-Connected Photovoltaic System. Global environmental awareness, increasing demand for energy and down price tendency has led to new opportunities for utilization of renewable energy resources such as photovoltaic (PV) system. The integration of PV system to the grid must comply with the relevant standards given by the utility company. However, the output of PV somehow causes a harmonic distortion as the installation of inverter. The output of PV mainly depends on solar irradiation. Therefore, solar irradiation is selected as one of the input to the prediction model. The hybridize method of heuristic-algorithm namely Grey Wolf Optimizer-Least Square Support Vector (GWO-LSSVM) is introduced in order to improve the prediction accuracy. GWO is inspired by the leadership hierarchy and hunting mechanism of grey wolf in nature. The top hierarchy of grey wolf that considered as the fittest solution is alpha, followed by beta, delta and omega. The optimization process implementing three main steps such as hunting, searching for prey, encircling prey and attacking prey. GWO is utilized to optimize the parameters in LS-SVM model. The results showed that GWO-LSSVM predict more accurate than PSO-LSSVM and LSVM. � 2019 IEEE. Final 2023-05-29T07:22:26Z 2023-05-29T07:22:26Z 2019 Conference Paper 10.1109/ICPES47639.2019.9105398 2-s2.0-85086640542 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086640542&doi=10.1109%2fICPES47639.2019.9105398&partnerID=40&md5=84e3c734928c6705e5393018243db407 https://irepository.uniten.edu.my/handle/123456789/24248 9105398 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Forecasting; Harmonic analysis; Harmonic distortion; Heuristic algorithms; Heuristic methods; Irradiation; Particle swarm optimization (PSO); Photovoltaic cells; Renewable energy resources; Solar radiation; Support vector machines; Distortion predictions; Environmental awareness; Grid-connected photovoltaic; Grid-connected photovoltaic system; Least square support vector machines; Photovoltaic systems; Prediction accuracy; Total harmonic distortion (THD); Least squares approximations
author2 57211410254
author_facet 57211410254
Yasin Z.M.
Ashida Salim N.
Ab Aziz N.F.
format Conference Paper
author Yasin Z.M.
Ashida Salim N.
Ab Aziz N.F.
spellingShingle Yasin Z.M.
Ashida Salim N.
Ab Aziz N.F.
Harmonic Distortion Prediction Model of a Grid -Connected Photovoltaic Using Grey Wolf Optimizer - Least Square Support Vector Machine
author_sort Yasin Z.M.
title Harmonic Distortion Prediction Model of a Grid -Connected Photovoltaic Using Grey Wolf Optimizer - Least Square Support Vector Machine
title_short Harmonic Distortion Prediction Model of a Grid -Connected Photovoltaic Using Grey Wolf Optimizer - Least Square Support Vector Machine
title_full Harmonic Distortion Prediction Model of a Grid -Connected Photovoltaic Using Grey Wolf Optimizer - Least Square Support Vector Machine
title_fullStr Harmonic Distortion Prediction Model of a Grid -Connected Photovoltaic Using Grey Wolf Optimizer - Least Square Support Vector Machine
title_full_unstemmed Harmonic Distortion Prediction Model of a Grid -Connected Photovoltaic Using Grey Wolf Optimizer - Least Square Support Vector Machine
title_sort harmonic distortion prediction model of a grid -connected photovoltaic using grey wolf optimizer - least square support vector machine
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806426657599258624
score 13.214268