Abstract
In this article, a novel maximum power point tracking (MPPT) controller for a photovoltaic (PV) system is presented. The proposed MPPT controller was designed in order to extract the maximum of power from the PV-module and reduce the oscillations once the maximum power point (MPP) had been achieved. To reach this goal, a combination of fuzzy logic and an adaptive radial basis function neural network (RBF-NN) was used to drive a DC-DC Boost converter which was used to link the PV-module and a resistive load. First, a fuzzy logic system, whose single input was based on the incremental conductance (INC) method, was used for a variable voltage step size searching while reducing the oscillations around the MPP. Second, an RBF-NN controller was developed to keep the PV-module voltage at the optimal voltage generated from the first stage. To ensure a real MPPT in all cases (change of weather conditions and load variation) an adaptive law based on backpropagation algorithm with the gradient descent method was used to tune the weights of RBF-NN in order to minimize a mean-squared-error (MSE) criterion. Finally, through the simulation results, our proposed MPPT method outperforms the classical P and O and INC-adaptive RBF-NN in terms of efficiency.
Highlights
Nowadays, one of the most important alternative energy sources is solar energy
Motivated by the above discussion, this paper proposes a novel fuzzy-adaptive RBF neural network maximum power point tracking (MPPT) controller for a PV system, which is built with a PV-module, a DC-DC boost converter and a resistive load
A novel two-stage MPPT controller based on fuzzy adaptive radial basis function neural network (RBF-NN) has been proposed
Summary
One of the most important alternative energy sources is solar energy. Several efforts and research have been concentrated on improving the efficiency of PV systems and the accessibility of this technology. While the maximum power delivered by the PV-module changes with atmospheric conditions like temperature and irradiance, and because the PV-module exhibits non-linear ppv -vpv and ipv -vpv characteristics, most of these MPPT techniques lack a perfect convergence to the MPP, and usually present oscillations around the MPP [9] due to the voltage fixed-step-size (∆v) used to perturb (or update) the PV-module voltage To overcome these problems, some works have been reported in the literature, such as References [10,11,12,13], based on a variable step size.
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