Real-Time Identification of Optimal Operating Points in Photovoltaic Power Systems

TitleReal-Time Identification of Optimal Operating Points in Photovoltaic Power Systems
Publication TypeJournal Article
Year of Publication2006
AuthorsXiao, W., M. G. J. Lind, W. G. Dunford, and A. Capel
JournalIndustrial Electronics, IEEE Transactions on
Volume53
Pagination1017 -1026
Date Publishedjun.
ISSN0278-0046
Keywordscomputer simulations, least squares approximations, maximum power point tracking methods, Newton-Raphson method, photovoltaic array, photovoltaic power systems, power engineering computing, power voltage relationship, real-time estimation, real-time identification, recursive least squares method, solar cell arrays
Abstract

Photovoltaic power systems are usually integrated with some specific control algorithms to deliver the maximum possible power. Several maximum power point tracking (MPPT) methods that force the operating point to oscillate have been presented in the past few decades. In the MPPT system, the ideal operation is to determine the maximum power point (MPP) of the photovoltaic (PV) array directly rather than to track it by using the active operation of trial and error, which causes undesirable oscillation around the MPP. Since the output features of a PV cell vary with environment changes in irradiance and temperature from time to time, real-time operation is required to trace the variations of local MPPs in PV power systems. The method of real-time estimation proposed in this paper uses polynomials to demonstrate the power-voltage relationship of PV panels and implements the recursive least-squares method and Newton-Raphson method to identify the voltage of the optimal operating point. The effectiveness of the proposed methods is successfully demonstrated by computer simulations and experimental evaluations of two major types of PV panels, namely: 1) crystalline silicon and 2) copper-indium-diselenide thin film

URLhttp://dx.doi.org/10.1109/TIE.2006.878355
DOI10.1109/TIE.2006.878355

a place of mind, The University of British Columbia

Electrical and Computer Engineering
2332 Main Mall
Vancouver, BC Canada V6T 1Z4
Tel +1.604.822.2872
Fax +1.604.822.5949
Email:

Emergency Procedures | Accessibility | Contact UBC | © Copyright 2020 The University of British Columbia