A Comprehensive Study of Well-Konown Maximum Power Point Tracking Techniques

This paper presents the modelling and comparative analysis of three well known MPPT algorithms for solar photovoltaic (PV) systems. The analysis addresses the energy decision makers and researchers for the selection of MPPT algorithm. The electrical characteristics of PV system fluctuates with the change in irradiation level, temperature, aerosol deposits and partial shading. The maximum power point tracker (MPPT) helps in harvesting the maximum power available from the photovoltaic system. In this paper perturb and observe (P&O) algorithm, incremental conductance (IC) algorithm and fuzzy logic controller (FLC) techniques were simulated using Matlab Simulink. The variable irradiance and constant temperature were considered as an environmental parameter in this simulation work to extract the maximum power from PV system. The duty cycle for the DC-DC converter is generated with the help of PV voltage and PV current. The generated duty cycle was converted to PWM signal to drive the MOSFET switch of DC-DC converter. The simulation was carried out on all the three algorithms and efficiency of each was presented here. The precise analysis and comparison of the steady state and dynamic behavior of each algorithm also carried in this study.