Performance evaluation of MPPT in a PVG with conventional and intelligent controllers under STC and DTC

Abstract

Maximum power point tracking (MPPT) is an essential factor to consider in photovoltaic or PV systems. Solar PV generation (PVG) systems present variable nonlinear current-voltage (I-V) as well as power-voltage (P-V) attributes, which vary with environmental problems. The optimum utilization of a PV system takes place when the system runs at the MPP in all ecological conditions. Key ecological conditions consist of the irradiance on the cell, temperature level of the cell and also any type of shading. Shading can take place because of dirt, objects and also component inequality occurring from cells damage, these leads again nonlinearity qualities in the system. In this paper gives an efficiency analysis (comparative analysis) of well-known standard MPPT algorithms-perturb-and-observe (P&O), incremental conductance (INC), improvised incremental conductance (IINC) with intelligent MPPT Fuzzy logic controller (FLC) under STC and DTC. The performance comprises efficiency of PVG, rise time, accuracy, design complexity and some more, algorithms with mathematical equations additionally reviewed. The design of PVG in standalone operation with different MPPT's are done in MATLAB/SIMULINK workspace. This paper is prepared as if future scientists, as well as designers, can choose a suitable MPPT strategy without issue.