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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Format: | Article |
Language: | English |
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Universitas Andalas
2016-07-01
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Series: | Jurnal Nasional Teknik Elektro |
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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. |
first_indexed | 2024-12-19T10:36:42Z |
format | Article |
id | doaj.art-ff62fe1e74eb4372b6b9db6cfcbcfd32 |
institution | Directory Open Access Journal |
issn | 2302-2949 2407-7267 |
language | English |
last_indexed | 2024-12-19T10:36:42Z |
publishDate | 2016-07-01 |
publisher | Universitas Andalas |
record_format | Article |
series | Jurnal Nasional Teknik Elektro |
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 |