Journal
FIRST INTERNATIONAL CONFERENCE ON POWER ENGINEERING COMPUTING AND CONTROL (PECCON-2017 )
Volume 117, Issue -, Pages 870-877Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.egypro.2017.05.205
Keywords
PV module; Two diode approach; Prediction of PV characteristics; NLP
Funding
- Central Power Research Institute, Bangalore
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This paper presents an improved technique for unknown parameter estimation and electrical performance characteristic prediction of photo voltaic (PV) module. Accurate PV modeling is necessary for analyzing the performance of solar system, inverter design, studying of PV characteristics etc. The aim of this work is to develop two algorithms for two-diode based PV model. First algorithm is for estimating the seven unknown parameters and second one is for predicting the electrical performance at different operating conditions. Prediction of PV module characteristics depends on the accuracy of computed parameters. In order to compute parameters, algorithms are developed by considering all the factors associated with PV model. In this work, to show the effectiveness of two algorithms a comparative study between proposed technique and existing method has been carried out and the result demonstrate that proposed technique gives solutions which are very close to the experimental values at different operating conditions. (C) 2017 The Authors. Published by Elsevier Ltd.
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