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Simple PV Modeling under Variable Operating Conditions

Teh, C.J.Q. and Drieberg, M. and Soeung, S. and Ahmad, R. (2021) Simple PV Modeling under Variable Operating Conditions. IEEE Access, 9 . pp. 96546-96558.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Photovoltaic (PV) panels are increasingly used to convert sunlight into electricity, as a source of sustainable energy. It can be used in a wide variety of applications ranging from the well-known power generation to the emerging energy harvesting in Internet of Things (IoT). Hence, an accurate model is required to evaluate and predict the performance of the PV panel. However, the non-linear characteristics of PV panels make the modeling of their electrical response a challenging task. In the literature, most of the previous PV models have been developed for large wattage PVs under high irradiance, or for small wattage PVs under lower irradiance. Those that can model both usually require more information, including the I-V curves data at different irradiances, which is not always provided by the manufacturers. Therefore, this paper presents a simple PV modeling that can be applied for different wattage panels at different operating levels of irradiance, using only the commonly provided datasheet values at standard test condition (STC). The model uses the characteristic points translation technique to translate the short circuit current, open circuit voltage and maximum power voltage points, at STC to other operating conditions. These translated values are then used by the parameter extraction technique to extract the model's parameters. The proposed model's techniques can model the losses across the resistors at low irradiance, which reduces the error. The accuracy of the proposed model is validated using two representative commercial PV panels. Results are generated for the proposed model and other comparative works. The results show that the proposed model can improve the accuracy over the other compared works, with a consistent percentage difference of below 5 across all levels of irradiances for both panels. © 2013 IEEE.

Item Type:Article
Impact Factor:cited By 0
Uncontrolled Keywords:Energy harvesting; Internet of things; Open circuit voltage, Characteristic point; Electrical response; Internet of Things (IOT); Nonlinear characteristics; Operating condition; Photovoltaic panels; Standard test condition (STC); Variable operating condition, Photovoltaic cells
ID Code:23838
Deposited By: Ms Sharifah Fahimah Saiyed Yeop
Deposited On:19 Aug 2021 13:09
Last Modified:19 Aug 2021 13:09

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