Demand-Response Based Energy Advisor for Household Energy Management

Home energy management systems (HEMS) are set to play a key role in the future smart grid (SG). HEMS concept enables residential customers to actively participate in demand response programs (DR) to control their energy usage, reduce peak demand and therefore contribute to improve the performance and reliability of the grid. This paper proposes an energy management strategy for residential end-users. In this framework, a demand response strategy is developed to reduce home energy consumption. The proposed algorithm seeks to minimise peak load demands by scheduling the operation of electric appliances and shifting controllable loads during periods when electricity prices are high, to off-peak periods, when electricity prices are lower without compromising the customer's preferences. The overall system is simulated using MATLAB/Simulink and the results demonstrate the effectiveness of the proposed demand response strategy in managing the daily household energy consumption.