Considering the increasing tendency of penetration of distributed generators on the customer side

a co-scheduling strategy of home energy management with photovoltaic systems and energy storage devices is proposed.A distributed generation model and a load model for home energy management system are developed first

and then the co-scheduling strategy model of home energy management is presented based on day-ahead PV output prediction and load forecast. Household energy profit is maximized through optimal daily household consumption plans for improving the utilization of renewable energy and achieving the great degree of PV power consumption. The binary particle swarm algorithm is adopted and user comfort constraints are considered. The user benefits under different power utilization models are compared in case studies and the results show the model’s effectiveness. This work is supported by National Basic Research Program of China （973 Program） (No. 2013CB228203) and National Natural Science Foundation of China (No. 51361135704

No. 51377115).