Multi-objective optimization strategy for home energy management system including PV and battery energy storage

Abstract

As an important part of the smart grid, home energy management system (HEMS) is closely related to power usage, in which consumers are not only the users of the power grid, but also the suppliers of distributed power. In this paper, an intelligent HEMS with three adjustable strategies is proposed to maximize economic benefits and consumers’ comfort. Besides, a novel objective function mainly focusing on satisfying users’ needs is developed by innovating a tri-objective model concerning different weight coefficients which is integrated into a new algorithm to reach a balance among the running costs, peak–valley balance index and the satisfaction index. Moreover, this paper innovates historical weather data to predict the outcome of photovoltaic power. The benefits of HEMS with photovoltaic and battery energy storage system which is beneficial for peak load shaving and grid stability utilizing three different strategies are analyzed by two different scenarios. The simulation results demonstrate that the proposed model has highly cut the expenditure of electricity bill by 39.81% and maintain the balance of the power grid by reducing peak load by 50.37%, meanwhile, the index of users’ comfort improves about 1.6 times.

Keywords

• Multi-objective home energy management
• Optimal load scheduling
• Real time tariff
• Peak load reduction
• Genetic algorithm