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...
Saved in:
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Conference Paper |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Tenaga Nasional |
| id |
my.uniten.dspace-24248 |
|---|---|
| record_format |
dspace |
| 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 |