A Feed forward Neural Network MPPT Control Strategy Applied to a Modified Cuk Converter

Abstract

<p class="References">This paper presents an intelligent control strategy that uses a feedforward artificial neural network in order to improve the performance of the MPPT (Maximum Power Point Tracker) MPPT photovoltaic (PV) power system based on a modified Cuk converter. The proposed neural network control (NNC) strategy is designed to produce regulated variable DC output voltage. The mathematical model of Cuk converter and artificial neural network algorithm is derived. Cuk converter has some advantages compared to other type of converters. However the nonlinearity characteristic of the Cuk converter due to the switching technique is difficult to be handled by conventional controller. To overcome this problem, a neural network controller with online learning back propagation algorithm is developed. The NNC designed tracked the converter voltage output and improve the dynamic performance regardless load disturbances and supply variations. The proposed controller effectiveness during dynamic transient response is then analyze and verified using MATLAB-Simulink. Simulation results confirm the excellent performance of the proposed NNC.</p>

A Literature review on industrially accepted MPPT techniques for solar PV system

“…When there is rapid change of environmental conditions, there are global maxima along with local maxima. CIC with variable step size is not able to differentiate between local and global maxima, so further modification is made to track global maxima [41][42][43][44][45][46][47][48][49][50].…”

“…A flow chart based on modified incremental conductance (MIC) to track GMPP is given in Figure 5(b), and the detail information to call CIC subroutine and load variation subroutine is given in [41]. To get faster response and track GMPPT a hybrid, which is combination of IC and soft computing is employed in [47][48][49]. When there is GMPP as well LMMP, IC is used to track any LMPP and then soft computing is used to track GMPP [48].…”

“…A solution to avoid intermittent shut down is to use semi-pilot cell based FOCV [53,54]. A further improvement in FOCV is done in [49], in which IC as well as FOCV is implemented simultaneously but comparison part is missing. A comparative analysis of FOCV method with different algorithm is given in [55][56][57][58].…”

Neural Network Based MPPT Controller for Solar PV Connected Induction Motor

“…A dc to dc converter is needed to boost the voltage from PV panel and commonly available converters are the boost, buck, buck-boost, Cuk, SEPIC [7][8]. In which the single-ended primary inductance converter (SEPIC) is a DC/DC-converter that provides a positively regulated output and non-inverted output.…”

Modeling and Simulation of a Photovoltaic Field for 13 kW

“…Under each condition PV module has a point at which it can produce its MPP. Therefore, maximum power point tracking (MPPT) techniques can be used to uphold the PV panel operating at its MPP and then to increase the PV system efficiency [2]. In our case there is a power to a load in an isolated site (Oran -Algeria), in order to study the proposed system based on climatic conditions.…”