Maximum power point computation using current–voltage data from open and short circuit regions of photovoltaic module: A teaching learning based optimization approach

Abstract

Articles you may be interested inAn intelligent control strategy of fractional short circuit current maximum power point tracking technique for photovoltaic applications J. Renewable Sustainable Energy 7, 013114 (2015); 10.1063/1.4906982Power quality assessment of a solar photovoltaic two-stage grid connected system: Using fuzzy and proportional integral controlled dynamic voltage restorer approach J. Renewable Sustainable Energy 7, 013113 (2015); 10.1063/1.4906980Modeling and global maximum power point tracking for photovoltaic system under partial shading conditions using modified particle swarm optimization algorithm J. Renewable Sustainable Energy 6, 063117 (2014); 10.1063/1.4904436 A maximum power point tracking algorithm for photovoltaic systems using bang-bang controller J. Renewable Sustainable Energy 6, 053126 (2014); 10.1063/1.4898358 Maximum power point tracking of partial shaded photovoltaic array using an evolutionary algorithm: A particle swarm optimization technique Solar photovoltaic module operating with constant solar irradiance needs entire power (P)-voltage (V) curve tracing to find the maximum power point (MPP), if perturb and observe or incremental conductance algorithms are used. Therefore, there is a need of an algorithm which tracks the MPP without tracing entire P-V curve. This paper focuses on an MPP prediction method which is only based on a few data collected in the open-circuit and short-circuit regions of current (I)-voltage (V) curves of a cell or a module. The work presented here assumes I-V curve of a module to follow I-V power relation, I ¼ aV b þ c. The power model coefficients a, b, and c are determined by teaching-learning based optimization. The voltage at the MPP (V mp ) is computed by correlating the incremental conductance algorithm with the I-V power model and thereafter power at the MPP (P max ) is obtained. The effectiveness of the algorithm is confirmed by applying it to the reported I-V curve of different types of solar cells. The obtained values of V mp and P max are found to be in excellent agreement with their reported values. The algorithm is successfully applied to experimentally measured I-V curves of a silicon cell and a module. V C 2015 AIP Publishing LLC.