{"title":"基于PNLMS的太阳能光伏并网系统自适应控制算法","authors":"N. Beniwal, Ikhlaq Hussain, Bhim Singh","doi":"10.1109/ICIINFS.2016.8263021","DOIUrl":null,"url":null,"abstract":"In this paper, a proportionate normalized least mean square (PNLMS) based control algorithm with modified hill climbing MPPT (Maximum Power Point Tracking) technique is used to control the switching of a voltage source converter (VSC), in a grid tied solar photovoltaic (PV) system. A hardware prototype is developed for the system constituted by PV array, grid, VSC and the test results are obtained for a nonlinear load connected at PCC (Point of Common Coupling), and variable insolation levels. The obtained results show fast convergence and less steady state error. Moreover, the learning rate of the PNLMS algorithm can be easily tuned for a stable SPV system. The THD (Total Harmonic Distortion) of the grid current obtained is within the limits specified by IEEE-519 standard.","PeriodicalId":234609,"journal":{"name":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"PNLMS based adaptive control algorithm for solar PV grid tied system\",\"authors\":\"N. Beniwal, Ikhlaq Hussain, Bhim Singh\",\"doi\":\"10.1109/ICIINFS.2016.8263021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a proportionate normalized least mean square (PNLMS) based control algorithm with modified hill climbing MPPT (Maximum Power Point Tracking) technique is used to control the switching of a voltage source converter (VSC), in a grid tied solar photovoltaic (PV) system. A hardware prototype is developed for the system constituted by PV array, grid, VSC and the test results are obtained for a nonlinear load connected at PCC (Point of Common Coupling), and variable insolation levels. The obtained results show fast convergence and less steady state error. Moreover, the learning rate of the PNLMS algorithm can be easily tuned for a stable SPV system. The THD (Total Harmonic Distortion) of the grid current obtained is within the limits specified by IEEE-519 standard.\",\"PeriodicalId\":234609,\"journal\":{\"name\":\"2016 11th International Conference on Industrial and Information Systems (ICIIS)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 11th International Conference on Industrial and Information Systems (ICIIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIINFS.2016.8263021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 11th International Conference on Industrial and Information Systems (ICIIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIINFS.2016.8263021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
PNLMS based adaptive control algorithm for solar PV grid tied system
In this paper, a proportionate normalized least mean square (PNLMS) based control algorithm with modified hill climbing MPPT (Maximum Power Point Tracking) technique is used to control the switching of a voltage source converter (VSC), in a grid tied solar photovoltaic (PV) system. A hardware prototype is developed for the system constituted by PV array, grid, VSC and the test results are obtained for a nonlinear load connected at PCC (Point of Common Coupling), and variable insolation levels. The obtained results show fast convergence and less steady state error. Moreover, the learning rate of the PNLMS algorithm can be easily tuned for a stable SPV system. The THD (Total Harmonic Distortion) of the grid current obtained is within the limits specified by IEEE-519 standard.