{"title":"改进的光伏发电系统最大功率点的确定性实时估计","authors":"Salish Maharjan, J. Peng, W. Xiao","doi":"10.1109/IEEEGCC.2015.7060077","DOIUrl":null,"url":null,"abstract":"Heuristic tracking algorithms are commonly adopted for Maximum Power Point Tracking (MPPT), which generates oscillations around the Maximum Power Point (MPP) of the PV array. Alternative solution using deterministic curve-fitting approach is proposed in this paper to locate the MPP accurately. The non-linear PV curve is approximated by a polynomial equation, of which the coefficients can be identified in real time by using a recursive methodology with variable forgetting factors. This method is named as Recursive Estimation with Variable Forgetting Factor (REVFF). Thus, the tracking accuracy is improved without the perturbation of PV voltage. The proposed system and control scheme are implemented and verified by simulation.","PeriodicalId":127217,"journal":{"name":"2015 IEEE 8th GCC Conference & Exhibition","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Improved deterministic real-time estimation of Maximum Power Point in photovoltaic power systems\",\"authors\":\"Salish Maharjan, J. Peng, W. Xiao\",\"doi\":\"10.1109/IEEEGCC.2015.7060077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Heuristic tracking algorithms are commonly adopted for Maximum Power Point Tracking (MPPT), which generates oscillations around the Maximum Power Point (MPP) of the PV array. Alternative solution using deterministic curve-fitting approach is proposed in this paper to locate the MPP accurately. The non-linear PV curve is approximated by a polynomial equation, of which the coefficients can be identified in real time by using a recursive methodology with variable forgetting factors. This method is named as Recursive Estimation with Variable Forgetting Factor (REVFF). Thus, the tracking accuracy is improved without the perturbation of PV voltage. The proposed system and control scheme are implemented and verified by simulation.\",\"PeriodicalId\":127217,\"journal\":{\"name\":\"2015 IEEE 8th GCC Conference & Exhibition\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE 8th GCC Conference & Exhibition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEEGCC.2015.7060077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 8th GCC Conference & Exhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEEGCC.2015.7060077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved deterministic real-time estimation of Maximum Power Point in photovoltaic power systems
Heuristic tracking algorithms are commonly adopted for Maximum Power Point Tracking (MPPT), which generates oscillations around the Maximum Power Point (MPP) of the PV array. Alternative solution using deterministic curve-fitting approach is proposed in this paper to locate the MPP accurately. The non-linear PV curve is approximated by a polynomial equation, of which the coefficients can be identified in real time by using a recursive methodology with variable forgetting factors. This method is named as Recursive Estimation with Variable Forgetting Factor (REVFF). Thus, the tracking accuracy is improved without the perturbation of PV voltage. The proposed system and control scheme are implemented and verified by simulation.