Comparative analysis of Proportional-Integral, Fuzzy logic and Sliding mode Controllers for Maximum Power Point Tracking of PV System /

Abstract

Renewable energy resources play a vital role in producing electrical energy. In these renewable resources, the sun is the most important source of energy for production of electricity. Solar energy is converted into electrical energy using solar cells. Electricity and voltages generated by solar cells are lower than its ideal values because of variations in irradiance and temperature during day-time. DC-DC boost converter is designed to boost the voltages in a desired range. This work compares several control approaches used to maximize power point tracking. MPPT algorithm Perturb and Observe (P&O) is applied with Proportional-Integral control to get MPP efficiently. The model for DC-DC boost converter with controller is implemented in MATLAB/Simulink. A fuzzy logic control based MPPT algorithm is also implemented for this model and fuzzy rules are made to get maximum power point. A sliding mode control is also applied in this model. A comparative analysis of the results of these three controllers is done in this study by comparing the simulation results achieved in MATLAB/Simulink. The Proposed sliding mode control have less voltage fluctuation than FLC and P&O/PI. Fuzzy logic controller has less settling time and higher power tracking speed as compared to SMC and P&O/PI. A data-based simulation was also run by collecting data of irradiance and temperature from USPCASE, NUST for a specific day. Results show the output power for the whole day changes as per change in irradiance and temperature.