Sarab Al-Chlaihawi

Study of FLC based MPPT in comparison with P&O and InC for PV systems

Maximum Power Point Tracking (MPPT) represents an important part in photovoltaic (PV) systems. This paper presents a comparative simulation study of three MPPT algorithms: Perturb & Observe (P&O), Incremental Conductance (InC), and intelligent Fuzzy Logic (FL) based MPPT controller under constant and variable atmospheric conditions. The simulation results show that the FL based MPPT can track the MPP with better results as compared to the conventional (P&O) and (InC) algorithms in terms of accuracy, transient (speed) and steady (stability) responses by continuously adjusting the DC-DC duty cycle as a control parameter. A Matlab simulink toolbox and M-file have been used for the simulation and performance evaluation of the above-mentioned MPPT algorithms applied for the 150W BP SX150S solar PV module.

The use of ANN to supervise the PV MPPT based on FLC

This paper proposes an intelligent maximum power point tracking (MPPT) strategy based on the combination of fuzzy logic control (FLC) and artificial neural network (ANN) to improve the power output performances of PV system. Firstly, under various weather conditions, ANN is trained to estimate the optimal MPP voltage (Vmpp) of the PV module. Then, this trained ANN is used as a fundamental stage to drive the FLC based MPPT controller. The driven FLC is used to track the MPP by adjusting the duty cycle of the dc-dc converter of the PV system. The performances of the proposed tracking method are simulated and compared with the conventional perturb and observe (P&O) method at actual irradiation and temperature measurements using MATLAB simulation package. As it can be seen from the simulated results, the PV system with the proposed method is more efficient and can provide more energy, with less oscillation and overshoot, as compared with the conventional P&O MPPT method.

A survey of multiport converters used in renewable energy

Multiport converters are a promising concept for use in renewable-energy and hybrid power sources. These converters are highly beneficial, as conversion can be carried out in a single stage even while interfaced with multiple input power sources (hybrid). This paper provides an introduction to multiport converters and a comparison with conventional converters. The application of multiport converters with reference to renewable-energy sources along with the advantages and disadvantages of both types of converters are analyzed.

Comparative study of the multiport converter used in renewable energy systems

Presently, the concept of renewable energy is gaining ground, because power, and especially electrical power or electrical applications, are tending towards renewable sources, and as a consequence the use of renewable energy increased over the past years. This paper presents a review of multiport converters, different multiport converters are to be discussed, and a comparison between a transformer and transformer less multiport converter is added. Simulation results are included for multiport converters. The multiport converters simulated are as: One simulation is a multiport converter with a transformer (Full Bridge Three Port and Half Bridge Three Port DC-DC Converter) and the second simulation contains a multiport without a transformer (Transformer less Dual input single output).

Improving the performance of PV system using genetically-tuned FLC based MPPT

In this paper, an optimization of fuzzy logic controller (FLC) based maximum power point tracking (MPPT) using genetic algorithm (GA) is performed. The optimization process is performed by tuning the FLCs data base (DB) represented by parameters of membership functions (MFs) used. The tuning process is based on an objective function that is defined in terms of the statistic quantity named integral of squared error (ISE). In this paper, the photovoltaic (PV) system including PV module BP SX150S, ideal buck-boost DC-DC converter, MPPT, and resistive load of 6 Ω is used. The simulation performances of the proposed MPPT is evaluated and compared with the pre-tuned FLC based MPPT method using Matlab/Simulink package. The simulation results of the proposed method is quite promising and encouraging in which the PV system is capable of harvesting more solar power compared to pre-tuned FLC MPPT method.

Power flow management in three port converter using PV panel with maximum power point tracker

This paper presents three-port DC-DC converter modeling, its simulation and its control. The three port converter interfaces with the PV panel, bidirectional battery and load which is isolated by a transformer. There are two sources used in the three-port converter and the flow of power in the converter is controlled by switches (MOSFETs) on-off states. To obtain maximum power from the PV panel, a buck-boost converter is added in front of the PV panel and a MPP tracker is used to control the buck-boost converter. The three-port converter circuit is composed of four MOSFETs which are used as switches and a transformer that provides isolation between the input and output sides. Three cases of three-port converter operation are analyzed; in the first case, PV panels feed directly the load; in the second case, the PV panels feed the load and, in same time, charge the battery; in the third case, PV panel together with battery assure the load demand.

Full bridge three port converter power flow control using fuzzy logic controller

The concept of using renewable energy sources usage is increasing day by day but there is a limitation of it as we cannot use standalone renewable system. With standalone systems, the storage devices are used for backup power. The load and sources are interfaced by the power converters. In this paper, a new three port converter is analyzed. The analyzed converter is derived from full bridge converter which was split into two different cells; each cell is interfacing the input source. A cell is composed of two switches. The input to each switch in cell is inverted of other switch in a cell. A transformer is used between input and output port to provide isolation. The Fuzzy logic controller is used to control the power flow in three-port converter which interfaces a PV panel, a battery and an output port to the load. The difference between two powers, PV panel power and demanded power, is used as input for fuzzy logic controller and the output of fuzzy logic controller offers two signals: the first signal is for the first cell while the second signal is for the second cell; Simulation results, concerning the fuzzy control of power flow in various circumstances where obtained in MATLAB/Simulink.