With the development of distributed energy resource, it would play a key role in the future energy internet. In this paper, the household load scheduling of a smart home with photovoltaic system under different pricing mechanisms is analyzed. Firstly, after a series of mathematical transformations, this household load scheduling is formulated as a nonlinear mixed integer programming problem which could be solved by LINGO. Secondly, three different pricing mechanisms, flat pricing, time-of-use (TOU) pricing and real time pricing (RTP) are taken into account. The energy costs of household load scheduling problems of a smart home with photovoltaic system under different pricing mechanisms and without photovoltaic system under flat pricing are compared. Simulation results indicate that RTP could not only reduce the energy cost remarkably, but also response to different feed-in tariffs actively.