this paper proposes a maximum power point tracking algorithm based on fuzzy logic control for photovoltaic systems, According to the nonlinear characteristic of photovoltaic array [1], it's necessary to find a solution to track the maximum power of the PV system in order to improve its efficiency. The fuzzy logic controller presented in this work provide fast response and good performance against the climatic and load change and uses directly the DC/DC converter duty cycle as a control parameter. Simulation results show that the proposed algorithm can effectively improve the efficiency of photovoltaic array output.Index Terms-photovoltaic system; MPPT Fuzzy Control.
This paper deals with the problem of the energy system optimization for photovoltaic generators. A great necessity of optimizing the output energy appears as a result of the nonlinearity of the photovoltaic generator operation besides its variable output characteristic under different climatic conditions. As a consequence for the big need to extract maximum energy, many solutions have been proposed in order to have a good operation at the optimum power for photovoltaic systems. In this paper, we further extend this work by using a robust optimization technique based on the first order sliding mode approach to cope with the uncertainty in photovoltaic power generation caused by weather variability and load change. Indeed, we examine by using this control approach the effectiveness of this method and we note the different performance that affects to the system operation. The first order sliding mode maximum power point tracking controller is presented in detail in this paper. Then, a detailed study of algorithm stability has been carried out. The robustness and stability of the proposed sliding mode controller are investigated against load variations and weather changes. The simulation results confirm the effectiveness, the good and improved performance of the proposed sliding mode method in the presence of load variations and environment changes for direct current/direct current (DC/DC) boost converter.
This paper focuses on a maximum power point tracking (MPPT) algorithm based on the first order sliding mode approach. This work is aimed at systems that are fed with a photovoltaic (PV) generator. The main objective is to act on the panel to ensure that the energy collected is always at its maximum. Because a PV panel frequently suffers from non-linearity of its P-V curves, we propose to work with MPPT controllers based on the first order sliding mode approach; indeed, this approach in general is recognized as one of the efficient tools to design robust controllers. It has received much more attention within the last two decades, and many researchers are dealing with this type of robust controller to ensure optimal operating point of a PV system. The proposed MPPT algorithm has been implemented using a DSPACE DSP (digital signal processor) controller. To demonstrate the efficiency and the validity of the developed algorithm in real time, an experimental setup around a boost converter and a resistive load is experimentally studied and successfully implemented. The real-time validation and the experimental results show that the proposed algorithm can effectively improve the efficiency of PV array output under climatic variation and load change. It is a favorable algorithm that is easy to realize.
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