Residential electricity load due to the concentration of its use time has become a main component of electric power peak, meanwhile, with the development of smart grid technology, demand side response as an effective way to ease the imbalance between supply and demand has attracted much attention. Set in smart community, and combined the superiority of CCHP in energy efficiency and economic with the potential of household load in demand response, a two-stage optimization model is proposed. At first stage, property company optimizes the output of each part of CCHP system according to the forecast of load and photovoltaic output, in order to maximize the profits of property company. At second stage, HEMS optimizes the residential load schedule based on the condition of CCHP and time-of-use electricity price, minimum users’ cost. Finally, comparison between the simulation results of different cases proves that the two-stage optimization can realize a win-win situation both in users and property company. This work is supported by National Key Technology Support Program (No. 2015BAA01B01), National Natural Science Foundation of China (No. 51277027), and State Grid Science and Technology Project ( “Two Alternatives”) Potential Assessment.