Preprint Article Version 1 This version is not peer-reviewed

An Novel Explicit Model for Photovoltaic I-V Characteristic Prediction Based on Different Splitting Spectrum

Version 1 : Received: 11 August 2018 / Approved: 23 August 2018 / Online: 23 August 2018 (11:03:53 CEST)

How to cite: Liu, L.; Liu, W.; Zhang, X.; Ingenhoff, J. An Novel Explicit Model for Photovoltaic I-V Characteristic Prediction Based on Different Splitting Spectrum. Preprints 2018, 2018080248 (doi: 10.20944/preprints201808.0248.v1). Liu, L.; Liu, W.; Zhang, X.; Ingenhoff, J. An Novel Explicit Model for Photovoltaic I-V Characteristic Prediction Based on Different Splitting Spectrum. Preprints 2018, 2018080248 (doi: 10.20944/preprints201808.0248.v1).

Abstract

Looking at different operating climatic conditions, the electrical behavior predicting photovoltaic modules gets very important. For the estimation of output power from photovoltaic (PV) plants this is a very essential and basic aspect. In this paper, the relationship between the I-V curve and the irradiation spectrum is discussed by combining the single diode model. An explicit elementary analytical model with two defined shape parameters is discussed and improved with three approximations and second order Taylor expansion. Then, the explicit elementary analytical model is investigated under varying conditions leveraging the four parameters Iph, I0, Rs and Rsh from the single diode model. The relationship between the physical parameters and the condition parameters are discussed and applied to extract the shape parameters at different scenarios. Considering the aging effect, the process of calculation to predict the I-V curve under different splitting spectra is simplified as follow: (1) two shape parameters are gotten from the I-V data at measurement reference conditions (MRC); (2) the short circuit current, open circuit voltage and shape parameters under any splitting spectrum can be calculated based on the relationship provided in article; (3) the performance of PV panel can be predicted with parameters. The validation of this model was experimentally proven leveraging monocrystalline silicon photovoltaic module with different splitting films. Results showed that the model accurately predicts the I-V characteristics for the examined PV modules at different irradiance spectra and cell temperatures. Moreover, the presented model performs superior compared to other investigated models when looking at accuracy and simplicity.

Subject Areas

photovoltaic panel; explicit model; spectrum splitting; I-V characteristic prediction; shape parameter

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