ANN based peak power tracking for PV supplied DC motors

Artificial intelligence techniques for photovoltaic applications: A review

“…El-Tamaly and Elbaset [299] 2006 Impact of interconnection photovoltaic/wind system with utility on their reliability using a fuzzy scheme Table 25. Veerachary and Yadaiah [300] proposed the application of an ANN for the identification of the optimal operating point of a PV supplied separately to the excited dc motor driving two different load torques. A gradient descent algorithm is used to train the ANN controller for the identification of the maximum-power point of the solar cell array (SCA) and the gross mechanical energy operation of the combined system.…”

A microcontroller-based stand-alone photovoltaic power system for residential appliances

“…The equivalent circuit of the PV generator is shown in Fig. 2 [12]. Here, R s is the series resistance and R sh is the parallel resistance of the cell.…”

Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods

“…The controller is developed in two steps: (i) an offline step required to define the neural networks and aimed at finding the optimal structure (the number of layers and neurons, activation functions, parameters, and training algorithm) of the MPPT controller; and (ii) an online step where the optimal neural network MPPT controller found in the previous step is used in the PV system. Other works in this direction can be found in [12][13][14][15][16]. Moreover, other soft computing techniques, such as Fuzzy logic control (FLC) [17][18][19][20][21] and Particle swarm optimization (PSO) [22], can also be used for MPPT optimization.…”