Intelligent Control Strategy for Grid Connected PV/Wind/Battery/Fuel Cell Energy System

Abstract

Grid connected HEGS is an inventive system comprising of Fuel Cell, wind energy, Photovoltaic panels and BESS is suggested in this work. Initially, the robust modelling of sources is done by electrical energy. At that point, DC to DC converters are intentional to govern the working functions by the energy generation system. To attain tracing of extreme PV source functional point, a network called Elman Neural Network is established. In addition, a Takagi-Sugeno-Kang based on FGT is embraced on behalf of the change of PI parameters of the Fuel Cell and Battery Energy Storage System controllers. Additionally, the Virtual Flux Oriented Control established with N-FGT embraced to govern flow of power among the loads, the hybrid structure as well as function grid. Moreover, energy management system determines the power levels for controllers according to load demands. The simulation results from the Matlab/Simulink platform show the proficiency of the planned technique.