Price-sensitive home energy management method based on Pareto optimisation

With the emergence of smart home, residents can achieve demand response through home energy management system (HEMS), so as to improve energy utilisation. However, on the one hand, the existing household energy management method lacks the balance consideration of user economy and comfort, on the other hand, it lacks the response of adjustment scale to real-time electricity price. Aprice sensitive response mechanism considering the comfort of HVAC is added to the objective function of household energy management, and aprice sensitive household energy control method based on Pareto optimisation is proposed, which is solved dynamically by mixed integer linear programming (MILP). The simulation results show that PSHEMS can reduce household daily expenditure by 53%, and the PAPR value of home nano grid can be reduced by 70%.