An Efficient HEMS for Demand Response considering TOU Pricing Scheme and Incentives

This paper works on the scheduling of smart household's controllable appliance in Demand Response environment. A smart residential electricity customer requires intelligent Home Energy Management System (HEMS) having the capability to shift and control the controllable appliance's consumption according to their preferences and economy. In this paper, an intelligent HEMS algorithm is proposed for optimal scheduling of household controllable appliances. The optimization problem minimizes the customer energy and reliability cost. Modelling results of two case studies show the effectiveness of proposed HEMS algorithm considering Time of Use (TOU) pricing scheme and incentives. Modelling of electric vehicle (EV), electric water heater (EWH) and air conditioner (AC) is done in this paper since they are controllable in nature. This HEMS system also considers the installation of PV panel with energy storage system (ESS), household loads, PV generation forecast and built-in characteristics of controllable appliances. By analyzing the results it can be observed that the daily energy consumption cost reduces in optimization-based approach up to 45.4 % compared with the rule-based approach.