Modeling and Simulink Analysis of Energy Management with Help of ANN Controller

This project demonstrate functionality of a modeling and simulink analysis of energy management with help of ANN(ARTIFICIAL NEURAL NETWORK) controller. This is nothing but the energy management system (EMS). The EMS includes batteries and a digitally controlled single phase voltage source inverter (VSI), which can be controlled as a current source or voltage source depending on the status of the AC grid and the users preference. The EMS guarantees that the critical loads are powered when AC grid fails. In which case, the VSI is controlled as voltage source. It also accomplishes peak power control by supplying battery power to the local loads, while they are powered by AC grid if loads gets large. The DC power from the solar pannel can be transferred to the ANN controller. It converts pulsating signal to the constant signal and later it transfers to the H-bridge inverter. Then power from inverter is utilised by the AC loads, and then it transfers to AC grid. The electricity cost savings accomplished by peak savings are estimated. The Modeling and simulink analysis of energy management with the help of ANN controller is demonstrated by experimental management on MATLAB. The control architecture and logic embedded in modeling and simulink analysis of energy management with the help of ANN controller are discussed in detail