Comparison of MPPT using GA-Optimized ANN employing PI controller with GA-Optimized ANN employing fuzzy controller for PV system

Solar energy is abundantly available that has made it possible to harvest it and use it properly. Solar energy can be a standalone generating unit or can be a grid connected generating unit depending on the availability of a grid nearby. Thus it powers rural areas where the availability of grids is very low. In order to tackle the present energy crisis one has to develop an efficient manner in which power has to be extracted from the incoming solar radiation. Maximum Power Point Tracking (MPPT) algorithms are necessary because PV arrays have a non linear voltage-current characteristic with an unique point where the power produced is maximum. This paper provides a comparison between MPPT method using Genetic Algorithm (GA) Optimized Artificial Neural Network (ANN) employing PI controller and that using Genetic Algorithm (GA) Optimized Artificial Neural Network (ANN) employing Fuzzy controller.