@inproceedings{030d0282765342b48528c3e2b32f7ed5,
title = "PV parameter identification using reduced I-V data",
abstract = "In this paper, possibility and accuracy of using reduced I-V data in PV parameter identification are discussed. Based on the linear identification method proposed in [1], six I-V points are used instead of the whole I-V curve to identify the PV parameters. The maximum power point (MPP) is then estimated using the identified I-V and P-V characteristics. Validation is done by using different sets of six points on the I-V curve. Experiment results show that the accurate curve fitting (with low RMSE and MPE) and good estimation of MPP can be achieved.",
keywords = "I-V characteristics, Linear identification, Maximum power point estimation",
author = "Shaun Tay and Idris Lim and Zhen Ye and Dazhi Yang and Ausias Garrigos",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017 ; Conference date: 29-10-2017 Through 01-11-2017",
year = "2017",
month = dec,
day = "15",
doi = "10.1109/IECON.2017.8216446",
language = "英语",
series = "Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2653--2657",
booktitle = "Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society",
address = "美国",
}