EVOCATION AND EXPEDIENT OF AN ASSEMBLE OF ROOFTOP SOLAR PV AND VEHICLE TO GRID TECHNOLOGY: ON PERSPECTIVE OF BANGLADESH

Abstract

Demand response systems have become a big draw for reducing peak demand in the electrical power sector as a smart grid enabler. The household consumer will add significantly to the capacity for peak-hour energy demand mitigation. The aim of this paper is to discuss the energy usage of a single household with multiple properties, including household appliances, an electric vehicle (EV), and a battery energy storage device (BESS). A rooftop solar photovoltaic (PV) generation system on a small scale is also a component of a smart household. The BESS and PV are used to charge household equipment, and any excess electricity produced can be pumped back into the grid. The optimization problem of intelligent home energy management is formulated as a mixed integer linear programming problem (MILP). The load serving body registers the energy user for real-time price-based demand response programs (LSE). The simulation results demonstrated the LSE's major contribution to achieving usage cost gains and minimizing peak to average ratios. An algorithm has been proposed to reduce the conversion losses. Eventually then, the whole system analyzed by MATLAB software