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Acceptance Ratio Analysis: An Early Fault Indicator for Grid-Connected Photovoltaic System

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@article{IJASEIT12614,
   author = {Fatin Azirah Mohd. Shukor and Hedzlin Zainuddin and Nurmalessa Muhammad and Farah Liyana Muhammad Khir},
   title = {Acceptance Ratio Analysis: An Early Fault Indicator for Grid-Connected Photovoltaic System},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {3},
   year = {2021},
   pages = {1214--1223},
   keywords = {Acceptance ratio; photovoltaic; grid-connected; AC power; AR threshold.},
   abstract = {This paper presents the Acceptance Ratio (AR) analysis for three different grid-connected photovoltaic (GCPV) systems working under the Malaysia tropical climate. AR is a ratio between actual AC power, PAC_actual, and predicted AC power, PAC_predicted. According to Malaysian Standard MS2692:2020,the AR value must ≥ 0.9 to classify as accepted in testing and commissioning test. In contrast, a rate < 0.9 indicates a non-accepted GCPV system.  Historical data of the AC power output, solar irradiance, and module temperature from January 1 to December 31, 2019, were used for the analysis. The analysis procedure was carried out using Matlab and Microsoft Excel software. The analysis covers the AC power analysis and the AR analysis based on the threshold of 0.9. The plotted monthly AC power graph shows that all systems have lower than 15 % differences between actual and predicted AC power. On the AR analysis, System 1 was found to show early fault indicator with a monthly cumulative percentage of AR < 0.9 ranges from 34 % to 71 %, meanwhile System 2 and System 3 have a lower cumulative percentage of AR < 0.9 ranges from 5 % to 19 %. This result suggested that only System 2 and 3 are fault-free GCPV systems and working in good condition. The outcome of this study has succeeded in providing preliminary AR analysis results for three GCPV systems located in Malaysia. This study would help to evaluate AR threshold reliability to indicate an early fault of a GCPV system.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12614},
   doi = {10.18517/ijaseit.11.3.12614}
}

EndNote

%A Shukor, Fatin Azirah Mohd.
%A Zainuddin, Hedzlin
%A Muhammad, Nurmalessa
%A Khir, Farah Liyana Muhammad
%D 2021
%T Acceptance Ratio Analysis: An Early Fault Indicator for Grid-Connected Photovoltaic System
%B 2021
%9 Acceptance ratio; photovoltaic; grid-connected; AC power; AR threshold.
%! Acceptance Ratio Analysis: An Early Fault Indicator for Grid-Connected Photovoltaic System
%K Acceptance ratio; photovoltaic; grid-connected; AC power; AR threshold.
%X This paper presents the Acceptance Ratio (AR) analysis for three different grid-connected photovoltaic (GCPV) systems working under the Malaysia tropical climate. AR is a ratio between actual AC power, PAC_actual, and predicted AC power, PAC_predicted. According to Malaysian Standard MS2692:2020,the AR value must ≥ 0.9 to classify as accepted in testing and commissioning test. In contrast, a rate < 0.9 indicates a non-accepted GCPV system.  Historical data of the AC power output, solar irradiance, and module temperature from January 1 to December 31, 2019, were used for the analysis. The analysis procedure was carried out using Matlab and Microsoft Excel software. The analysis covers the AC power analysis and the AR analysis based on the threshold of 0.9. The plotted monthly AC power graph shows that all systems have lower than 15 % differences between actual and predicted AC power. On the AR analysis, System 1 was found to show early fault indicator with a monthly cumulative percentage of AR < 0.9 ranges from 34 % to 71 %, meanwhile System 2 and System 3 have a lower cumulative percentage of AR < 0.9 ranges from 5 % to 19 %. This result suggested that only System 2 and 3 are fault-free GCPV systems and working in good condition. The outcome of this study has succeeded in providing preliminary AR analysis results for three GCPV systems located in Malaysia. This study would help to evaluate AR threshold reliability to indicate an early fault of a GCPV system.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12614
%R doi:10.18517/ijaseit.11.3.12614
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 3
%@ 2088-5334

IEEE

Fatin Azirah Mohd. Shukor,Hedzlin Zainuddin,Nurmalessa Muhammad and Farah Liyana Muhammad Khir,"Acceptance Ratio Analysis: An Early Fault Indicator for Grid-Connected Photovoltaic System," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 3, pp. 1214-1223, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.3.12614.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Shukor, Fatin Azirah Mohd.
AU  - Zainuddin, Hedzlin
AU  - Muhammad, Nurmalessa
AU  - Khir, Farah Liyana Muhammad
PY  - 2021
TI  - Acceptance Ratio Analysis: An Early Fault Indicator for Grid-Connected Photovoltaic System
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 3
Y2  - 2021
SP  - 1214
EP  - 1223
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Acceptance ratio; photovoltaic; grid-connected; AC power; AR threshold.
N2  - This paper presents the Acceptance Ratio (AR) analysis for three different grid-connected photovoltaic (GCPV) systems working under the Malaysia tropical climate. AR is a ratio between actual AC power, PAC_actual, and predicted AC power, PAC_predicted. According to Malaysian Standard MS2692:2020,the AR value must ≥ 0.9 to classify as accepted in testing and commissioning test. In contrast, a rate < 0.9 indicates a non-accepted GCPV system.  Historical data of the AC power output, solar irradiance, and module temperature from January 1 to December 31, 2019, were used for the analysis. The analysis procedure was carried out using Matlab and Microsoft Excel software. The analysis covers the AC power analysis and the AR analysis based on the threshold of 0.9. The plotted monthly AC power graph shows that all systems have lower than 15 % differences between actual and predicted AC power. On the AR analysis, System 1 was found to show early fault indicator with a monthly cumulative percentage of AR < 0.9 ranges from 34 % to 71 %, meanwhile System 2 and System 3 have a lower cumulative percentage of AR < 0.9 ranges from 5 % to 19 %. This result suggested that only System 2 and 3 are fault-free GCPV systems and working in good condition. The outcome of this study has succeeded in providing preliminary AR analysis results for three GCPV systems located in Malaysia. This study would help to evaluate AR threshold reliability to indicate an early fault of a GCPV system.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12614
DO  - 10.18517/ijaseit.11.3.12614

RefWorks

RT Journal Article
ID 12614
A1 Shukor, Fatin Azirah Mohd.
A1 Zainuddin, Hedzlin
A1 Muhammad, Nurmalessa
A1 Khir, Farah Liyana Muhammad
T1 Acceptance Ratio Analysis: An Early Fault Indicator for Grid-Connected Photovoltaic System
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 3
YR 2021
SP 1214
OP 1223
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Acceptance ratio; photovoltaic; grid-connected; AC power; AR threshold.
AB This paper presents the Acceptance Ratio (AR) analysis for three different grid-connected photovoltaic (GCPV) systems working under the Malaysia tropical climate. AR is a ratio between actual AC power, PAC_actual, and predicted AC power, PAC_predicted. According to Malaysian Standard MS2692:2020,the AR value must ≥ 0.9 to classify as accepted in testing and commissioning test. In contrast, a rate < 0.9 indicates a non-accepted GCPV system.  Historical data of the AC power output, solar irradiance, and module temperature from January 1 to December 31, 2019, were used for the analysis. The analysis procedure was carried out using Matlab and Microsoft Excel software. The analysis covers the AC power analysis and the AR analysis based on the threshold of 0.9. The plotted monthly AC power graph shows that all systems have lower than 15 % differences between actual and predicted AC power. On the AR analysis, System 1 was found to show early fault indicator with a monthly cumulative percentage of AR < 0.9 ranges from 34 % to 71 %, meanwhile System 2 and System 3 have a lower cumulative percentage of AR < 0.9 ranges from 5 % to 19 %. This result suggested that only System 2 and 3 are fault-free GCPV systems and working in good condition. The outcome of this study has succeeded in providing preliminary AR analysis results for three GCPV systems located in Malaysia. This study would help to evaluate AR threshold reliability to indicate an early fault of a GCPV system.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12614
DO  - 10.18517/ijaseit.11.3.12614