Comparison of P&O and Fuzzy Logic Controller in MPPT for Photo Voltaic (PV) Applications by Using MATLAB/Simulink

摘要

Energy is essential component for improving the living condition of the civilization. One of the major concerns in the power sector is that day to day increasing power demand has forced to use the fossil fuels in extreme causing the increasing serious environmental problems thus it is essential to use renewable energies which are characterized by their negligible pollution level and environmental friendly. Solar photovoltaic is a phenomenon where the solar irradiance is converted directly into electricity through solar cell. The photovoltaic energy as an alternative energy source has been widely used as it is pollution free, abundant and broadly available. An important consideration in the use of PV system is to operate the system near maximum power point so as to increase the output efficiency of PV panel. Maximum power point tacking (MPPT) techniques are used in PV applications to extract the maximum power that PV panel can produce, which depends upon different atmospheric conditions i.e solar insolation and temperature. DC-DC converter is inserted between PV array and load for obtaining the desired voltage level at load side. In this paper, a new maximum power point tracker using fuzzy set theory is proposed to improve energy conversion efficiency. Fuzzy algorithm based on linguistic rules describing the operator's control strategy is applied to control boost converter for maximum power point tracking linguistic variables implemented in the fuzzy logic controller have been selected appropriately to modulate the DC-DC converter. Fuzzy logic controller provides advanced features such as fast response, good performance in terms of oscillations. The fuzzy logic controller is designed and analyzed in MATLAB/SIMULINK.