PV panel modeling and identification

Lim, L. H. I. , Ye, Z., Yang, D. and Tay, H. C. S. (2016) PV panel modeling and identification. In: Carter, J. G. (ed.) Solar Energy and Solar Panels: Systems, Performance and Recent Developments. Series: Energy science, engineering and technology. Nova Science Publishers, Inc.: Hauppauge, NY, pp. 67-122. ISBN 9781536103809

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In this chapter, the modelling techniques of PV panels from I-V characteristics are discussed. At the beginning, a necessary review on the various methods are presented, where difficulties in mathematics, drawbacks in accuracy, and challenges in implementation are highlighted. Next, a novel approach based on linear system identification is demonstrated in detail. Other than the prevailing methods of using approximation (analytical methods), iterative searching (classical optimization), or soft computing (artificial intelligence), the proposed method regards the PV diode model as the equivalent output of a dynamic system, so the diode model parameters can be linked to the transfer function coefficients of the same dynamic system. In this way, the problem of solving PV model parameters is equivalently converted to system identification in control theory, which can be perfectly solved by a simple integral-based linear least square method. Graphical meanings of the proposed method are illustrated to help readers understand the underlying principles. As compared to other methods, the proposed one has the following benefits: 1) unique solution; 2) no iterative or global searching; 3) easy to implement (linear least square); 4) accuracy; 5) extendable to multi-diode models. The effectiveness of the proposed method has been verified by indoor and outdoor PV module testing results. In addition, possible applications of the proposed method are discussed like online PV monitoring and diagnostics, noncontact measurement of POA irradiance and cell temperature, fast model identification for satellite PV panels, and etc.

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Lim, Dr Li Hong Idris
Authors: Lim, L. H. I., Ye, Z., Yang, D., and Tay, H. C. S.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Publisher:Nova Science Publishers, Inc.
Copyright Holders:Copyright © 2016 Nova Science Publishers, Inc.
First Published:First published in Solar Energy and Solar Panels: Systems, Performance and Recent Developments 67:122
Publisher Policy:Reproduced with the permission of the publisher.

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