Wind Driven Optimization Technique for Estimation of Solar Photovoltaic Parameters

Mathew, D., Rani, C., Kumar, M. R., Wang, Y., Binns, R. and Busawon, K. (2018) Wind Driven Optimization Technique for Estimation of Solar Photovoltaic Parameters. IEEE Journal of Photovoltaics, 8 (1). pp. 248-256. ISSN 2156-3381

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In order to increase the efficiency of the solar photovoltaic (PV) system, accurate electrical modeling of the system under different environmental conditions is necessary. The double diode electrical model of solar PV is known to be more
accurate than its single diode model counterpart since it takes into account the effect of recombination. However, because of its nonlinear characteristics, the parameters of the double diode model have to be identified using ptimization algorithms. In this paper, the Wind Driven Optimization (WDO) algorithm is proposed as a potential new method for identifying the parameters of a twelveparameter double diode model (12p-DDM) of the solar PV. The accuracy and flexibility of the proposed method are verified using three different sets of data: (i) experimental data at the controlled
environmental condition, (ii) data sheet values of different solar PV modules and (iii) real-time experimental data at the uncontrolled environmental condition. Additionally, the performance of the WDO is compared to other well-known existing optimization techniques. The obtained results show that the WDO algorithm can provide optimized values with reduced Mean Absolute Error in Power (MAEP) and reduced Root Mean Square Error (RMSE) for different types of solar PV modules at different environmental conditions. We show that the WDO can be confidently recommended as a reliable optimization algorithm for parameter estimation of solar PV model.

Publication Type: Articles
Additional Information: Department of Engineering & Applied Design. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Adaptive electrical model, mean absolute error in power (MAEP), parameter estimation, root mean square error (RMSE), wind-driven optimization (WDO)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Academic Areas > Department of Engineering, Computing and Design
Depositing User: Yue Wang
Date Deposited: 25 Oct 2019 11:15
Last Modified: 22 Feb 2022 09:04

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