Abstract: Distributed generation access to the power grid is easy to result in power quality problems,such as grid voltage sag,fluctuation and flicker,and voltage over-limit. Improving the demand-side energy response capability can effectively improve the stable operation of power grid. The demand side energy scheduling strategy that considers load state extraction and time-sharing tariff is proposed. Firstly,non-intrusive load identification technology is employed to decompose the working state of the loads that are put into use and obtain the energy loss of input loads. Secondly,the energy optimization scheduling strategy with the minimum demand side energy consumption expenditure and the highest satisfaction with the use of electrical equipment is established by taking into account the time-sharing tariff information of the day. Finally,the UK-DALE data set is selected for the simulation analysis of PMAM model which is solved by CPLEX. The simulation results demonstrate that the strategy can reduce energy consumption and enhance the demand side energy response capability.