Variation of Cost in Scheduling of Residential and Commercial Appliances with the Inclusion of Energy Price Tag of EV and Household Battery

Due to the rising use of the electric vehicle (EVs) in today's transportation systems, the analysis of integration of EVs with the electricity grid has become a necessity of current time. This paper considers a residential and commercial area with some constant and variable load. The main purpose of this article is energy management of sources, i.e., EVs, photovoltaic cells (PVs), household batteries, and grid, along with scheduling of the variable appliances to reduce the peak demand and cost of the electricity bill. In this cost of the energy storage devices, i.e., energy price tag (EPT) is considered and variation in total cost is observed with and without EPT. This paper presents an algorithm to evaluate the variation in the cost of energy consumption with and without considering the EPT. For scheduling of the appliances, two cases are considered, i.e., appliances are scheduled randomly and user preferred duration. For the optimization, mixed-integer linear programming is used, and in that DICOPT solver is used to solve the equations in GAMS software.