Journal
ENERGY CONVERSION AND MANAGEMENT
Volume 139, Issue -, Pages 97-109Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.enconman.2017.02.055
Keywords
Improved Double Integral Sliding Mode; Controller (IDISMC); Maximum Power Point Tracking (MPPT); Photovoltaic (PV) system; Genetic Algorithm (GA)
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In this paper, an Improved Double Integral Sliding Mode MPPT Controller (IDISMC) for a stand-alone photovoltaic (PV) system is proposed. Performance of a sliding mode controller (SMC) is greatly influenced by the choice of the sliding surface. Switching surface coefficients were selected by the use of Hurwitz stability theorem. The IDISMC not only is robust against parametric and non-parametric uncertainties, but also has a very small steady-state error, thanks to the use of double integral of tracking voltage error in the definition of its sliding surface. For realistic simulation, Genetic Algorithm (GA) method was used to estimate parameters of solar panels model. The validity of the proposed double integral SMC in maximum power point tracking was approved by comparing the simulation results obtained for a sample PV system with the results of other methods. (C) 2017 Elsevier Ltd. All rights reserved.
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