REDUCTION OF TOTAL HARMONIC DISTORTION IN HYBRID ENERGY STORAGE SYSTEM USING ARTIFICIAL NEURAL NETWORK

Abstract

In this thesis,a study and implement techniques is used designa hybrid energy system storage of electrical vehicles which is the function of electric vehicles. Regularly expanding electricity utilization offers ascend to guidelines and noteworthy undertakings to improve the energy proficiency in a wide range of movement from assembling to trade, from transportation to advanced correspondence, from amusement to PCs and compact gadgets.This is contemplated and executed in MATLAB Simulink on the point of view of electric vehicles explicitly for half breed vitality stockpiling framework. The proposed half and half electric stockpiling framework comprise of super capacitor and lithium particle battery to charge the electric vehicle. The control framework is planned utilizing Artificial Neural Network to upgrade the outcomes got utilizing the PI controlled methods. It decreases the computation multifaceted nature of the framework by diminishing the estimations of Kp and Ki figuring. The neural system advances self-learning ability of the framework and furthermore improves the framework by decreasing any variances assuming any. Here we are utilizing the fake neural system and it is having numerous favorable circumstances it will get improved execution when appropriately tuned.it require less tuning exertion than ordinary controllers. At the point when we are contrasting and different controllers (PID and Fuzzy controller) neural system shows the better execution achieved with tuning. The mixture learning calculation is utilized preparing this system. At long last, here we are demonstrating various boundaries diagram utilizing MATLAB.