Open AccessEstimation of PV module parameters from the manufacturer's datasheet for MPP estimation
Author(s) -
Changmai Papul,
Nayak Sisir Kumar,
Metya Sanjeev Kumar
Publication year - 2020
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2019.1377
Subject(s) - datasheet , saturation current , photovoltaic system , equivalent series resistance , diode , exponential function , irradiance , control theory (sociology) , maximum power principle , estimation theory , power (physics) , computer science , voltage , mathematics , algorithm , electronic engineering , engineering , electrical engineering , physics , mathematical analysis , control (management) , quantum mechanics , artificial intelligence
A study has been performed to extract the unknown parameters of a photovoltaic (PV) module using mathematical model‐driven analysis. Neglecting the less significant terms, the number of non‐linear exponential terms are reduced to develop a simplified algorithm to estimate five unknown parameters such as diode ideality factor, series resistance, shunt resistance, diode saturation current and photogenerated current of a single diode model PV module accurately with less computational complexities from the manufacturer's datasheet values. Substituting the estimated values of the unknown parameters, the PV module output power is obtained at different irradiance and temperature, which shows close co‐ordination with the datasheet values. To improve the accuracy in the estimation of the PV module output using the proposed model, the nominal operating cell temperature (NOCT) is considered. The results of the proposed model are verified with the experimental output of two (one 315 Wp and another 3 Wp) PV modules, which shows better correlation with the proposed model considering NOCT. The measurement uncertainty to obtain the output power experimentally is not more than 6.88%.