Title :
The MPPT control of PV system by using neural networks based on Newton Raphson method
Author :
Khaldi, Naoufel ; Mahmoudi, Hassan ; Zazi, Malika ; Barradi, Youssef
Author_Institution :
Mohammedia Sch. of Eng., Mohamed V Univ. Agdal, Rabat, Morocco
Abstract :
The maximum power point tracking (MPPT) system controls the voltage and the current output of the photovoltaic (PV) system to deliver maximum power to the load. Present work deals a comparative analysis of perturb and observe (PO), incremental conductance (IC) and neural network based MPPT techniques. Parameters values were extracted using Newton Raphson method from characteristics of Shell SP75 module. The simulations have been carried out on MATLAB/SIMULINK platform for solar photovoltaic system connected to boost dc-dc converter. For three MPPT algorithms, Performance assessment covers overshoot, time response, oscillation and stability as described further in this paper. These results show that the objective is achieved and the MPPT controller based on Back Propagation (BP) neural networks play an effective role to improve the efficiency and reduce the oscillations of PV power system comparing with others control strategies.
Keywords :
Newton-Raphson method; backpropagation; electric current control; maximum power point trackers; neural nets; oscillations; perturbation techniques; photovoltaic power systems; power generation control; power system stability; voltage control; BP neural networks; MATLAB-SIMULINK; MPPT algorithms; MPPT controller; MPPT system; Newton-Raphson method; PO; PV power system; Shell SP75 module; back propagation neural networks; boost DC-DC converter; control strategies; incremental conductance; maximum power point tracking; oscillation; perturb and observe; photovoltaic system; stability; time response; Backpropagation; Erbium; Load modeling; MATLAB; Robustness; Stability analysis; Artificiel neural networks; MPPT; Newton Raphson; Perturb and observe; Photovoltaic systems; incremental conductance;
Conference_Titel :
Renewable and Sustainable Energy Conference (IRSEC), 2014 International
Print_ISBN :
978-1-4799-7335-4
DOI :
10.1109/IRSEC.2014.7059894
