{"title":"马来西亚并网光伏系统功率预测","authors":"H. Zainuddin, S. Shaari, A. M. Omar, S. Sulaiman","doi":"10.1109/ISESEE.2011.5977079","DOIUrl":null,"url":null,"abstract":"This paper presents the prediction performance and analysis of the power output from grid-connected photovoltaic (GCPV) system using power model. The power model used is presently applied in the testing, commissioning and acceptance test of grid-connected systems procedure in Malaysia. This study involved outdoor testing and validation of model through mathematical formula, root mean square error (RMSE), Pearson correlation coefficient (R2) and standard deviation (STD) determination. Results showed that most of the time, the actual power output was lower than the modelled power output. This implies that more derating factors should be considered in the existing power model such as aging and installation criteria.","PeriodicalId":105476,"journal":{"name":"2011 3rd International Symposium & Exhibition in Sustainable Energy & Environment (ISESEE)","volume":"138 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Power prediction for grid-connected photovoltaic system in Malaysia\",\"authors\":\"H. Zainuddin, S. Shaari, A. M. Omar, S. Sulaiman\",\"doi\":\"10.1109/ISESEE.2011.5977079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the prediction performance and analysis of the power output from grid-connected photovoltaic (GCPV) system using power model. The power model used is presently applied in the testing, commissioning and acceptance test of grid-connected systems procedure in Malaysia. This study involved outdoor testing and validation of model through mathematical formula, root mean square error (RMSE), Pearson correlation coefficient (R2) and standard deviation (STD) determination. Results showed that most of the time, the actual power output was lower than the modelled power output. This implies that more derating factors should be considered in the existing power model such as aging and installation criteria.\",\"PeriodicalId\":105476,\"journal\":{\"name\":\"2011 3rd International Symposium & Exhibition in Sustainable Energy & Environment (ISESEE)\",\"volume\":\"138 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 3rd International Symposium & Exhibition in Sustainable Energy & Environment (ISESEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISESEE.2011.5977079\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 3rd International Symposium & Exhibition in Sustainable Energy & Environment (ISESEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISESEE.2011.5977079","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power prediction for grid-connected photovoltaic system in Malaysia
This paper presents the prediction performance and analysis of the power output from grid-connected photovoltaic (GCPV) system using power model. The power model used is presently applied in the testing, commissioning and acceptance test of grid-connected systems procedure in Malaysia. This study involved outdoor testing and validation of model through mathematical formula, root mean square error (RMSE), Pearson correlation coefficient (R2) and standard deviation (STD) determination. Results showed that most of the time, the actual power output was lower than the modelled power output. This implies that more derating factors should be considered in the existing power model such as aging and installation criteria.