Evaluasi Keandalan Pembangkit Listrik Tenaga Surya yang Terhubung ke Grid

The reliability of a photovoltaic system is influenced by two kind of challenges i.e. the availability of the sunlight and the readiness of the PV system components to generate power. A PV system consists of electronic components which are placed outdoors and suffered harsh weather, therefore its re...

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Main Author: Adrianti
Format: Article
Language:English
Published: Universitas Andalas 2016-07-01
Series:Jurnal Nasional Teknik Elektro
Subjects:
Online Access:http://jnte.ft.unand.ac.id/index.php/jnte/article/view/281
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author Adrianti
author_facet Adrianti
author_sort Adrianti
collection DOAJ
description The reliability of a photovoltaic system is influenced by two kind of challenges i.e. the availability of the sunlight and the readiness of the PV system components to generate power. A PV system consists of electronic components which are placed outdoors and suffered harsh weather, therefore its reliability needs to be evaluated. Bayesian Networks are utilized to calculate the probabilities of having full and reduced power output of the PV system. The study results show that the reduced power output state of the PV system is twice more likely than the no-output state. In general, the reliability of the PV system is relatively good.
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spelling doaj.art-ff62fe1e74eb4372b6b9db6cfcbcfd322022-12-21T20:25:36ZengUniversitas AndalasJurnal Nasional Teknik Elektro2302-29492407-72672016-07-015223023610.20449/jnte.v5i2.281Evaluasi Keandalan Pembangkit Listrik Tenaga Surya yang Terhubung ke GridAdrianti0Jurusan Teknik Elektro, Fakultas Teknik, Universitas AndalasThe reliability of a photovoltaic system is influenced by two kind of challenges i.e. the availability of the sunlight and the readiness of the PV system components to generate power. A PV system consists of electronic components which are placed outdoors and suffered harsh weather, therefore its reliability needs to be evaluated. Bayesian Networks are utilized to calculate the probabilities of having full and reduced power output of the PV system. The study results show that the reduced power output state of the PV system is twice more likely than the no-output state. In general, the reliability of the PV system is relatively good.http://jnte.ft.unand.ac.id/index.php/jnte/article/view/281PhotovoltaicReliability and Bayesian Network
spellingShingle Adrianti
Evaluasi Keandalan Pembangkit Listrik Tenaga Surya yang Terhubung ke Grid
Jurnal Nasional Teknik Elektro
Photovoltaic
Reliability and Bayesian Network
title Evaluasi Keandalan Pembangkit Listrik Tenaga Surya yang Terhubung ke Grid
title_full Evaluasi Keandalan Pembangkit Listrik Tenaga Surya yang Terhubung ke Grid
title_fullStr Evaluasi Keandalan Pembangkit Listrik Tenaga Surya yang Terhubung ke Grid
title_full_unstemmed Evaluasi Keandalan Pembangkit Listrik Tenaga Surya yang Terhubung ke Grid
title_short Evaluasi Keandalan Pembangkit Listrik Tenaga Surya yang Terhubung ke Grid
title_sort evaluasi keandalan pembangkit listrik tenaga surya yang terhubung ke grid
topic Photovoltaic
Reliability and Bayesian Network
url http://jnte.ft.unand.ac.id/index.php/jnte/article/view/281
work_keys_str_mv AT adrianti evaluasikeandalanpembangkitlistriktenagasuryayangterhubungkegrid