Fuzzy Logic-Based MPPT Controller for PV Systems in MATLAB | Optimized Solar Power

This video covers the designing of a maximum power point tracking controllers (MPPT) for Photovoltaic (PV) module using fuzzy controller tool in MATLAB. MPPT controllers are used to obtain the maximum power of a PV system regardless of variations in climatic. MATLAB allows us to virtually design a MPPT controller for a PV system this allows us to study characteristics of the controller like tracking maximum power point, curve fitting parameters etc. this video also illustrates how to use various functions like fuzzy logic designer, membership functions, modelling of controller, results comparison etc. This simulation results demonstrated the superiority of the fuzzy controller in terms of settling time, power loss and oscillations at the operating point.

The power demand has been increasing day by day due to population growth, new industrial development, etc. Meeting power demand is one of the challenge factors for fossil fuel-based power generation alone as well as the environmental issue of carbon footprint. Consequently, there is a need to concentrate on alternate energy sources to meet the power demand. In this chapter, the photovoltaic (PV) cell operation under various weather conditions is analysed, and based on the performance, the MPPT controller is developed by using fuzzy logic controller. The proposed system has been modelled in MATLAB environment, and the system performance has been analysed. Finally, the simulation results are evaluated and compared with IEEE 1547 standard for proving the effectiveness of the proposed system.

The output power of a photovoltaic (PV) module depends on the solar irradiance and the operating temperature; therefore, it is necessary to implement maximum power point tracking controllers (MPPT) to obtain the maximum power of a PV system regardless of variations in climatic conditions. The traditional solution for MPPT controllers is the perturbation and observation (P&O) algorithm, which presents oscillation problems around the operating point; the reason why improving the results obtained with this algorithm has become an important goal to reach for researchers. This paper presents the design and modeling of a fuzzy controller for tracking the maximum power point of a PV System. Matlab/Simulink was used for the modeling of the components of a 65 W PV system: PV module, buck converter and fuzzy controller; highlighting as main novelty the use of a mathematical model for the PV module, which, unlike diode based models, only needs to calculate the curve fitting parameter. A P&O controller to compare the results obtained with the fuzzy control was designed. The simulation results demonstrated the superiority of the fuzzy controller in terms of settling time, power loss and oscillations at the operating point.

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