ABSTRACT
The paper considers a residential consumer living in Ontario, who is a customer of Hydro One, an electricity transmission and distribution service provider. The customer is the owner of a smart home with smart appliances who can participate in any demand response (DR) program by any communication medium. The customer has a solar photovoltaic set up on the roof, a battery energy storage system, and an electric vehicle with some thermostatically and non-thermostatically controlled appliances. The price tariffs of the country are rapidly changing due to the economic attack of Covid-19. These changing tariffs are considered as scenarios, and the effect of the tariffs on the customer’s electricity bill is analyzed. The scenarios are formulated as a simple mixed integer linear programming problem. All the events are optimized by different DR programs using the CPLEX solver of GAMS software for minimization of the cost. This paper also investigates the peak to average ratio of the power demand in each scenario. Different strategies for controlling the power transfer from the grid are employed as DR programs, and the results are analyzed in detail. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.