Abstract: In terms of the problems of load diversity of household type microgrid and satisfaction degree to be further improved in the process of users’ participation and demands response,the paper carries out research according to theory of demands response of users and thought of data mining.Firstly,the maximum of satisfaction degree index of users is regarded as the objective function to build a multiple-attribute demand response strategy model based on satisfaction degree and mine the electricity-usage behavior in historical electricity-usage data.Secondly,the taboo search is introduced into the traditional bacterial colony chemotaxis algorithm and the BCCTS is proposed to find out a solution for the model.Finally,the optimum electricity-usage plan for microgrid load is verified and obtained through experiments.The results of the example have verified the effectiveness of the proposed model and algorithm for solution and they are able to reduce electricity fees,as well as peak and valley difference of power grid at the same time;BCCTS algorithm is able to obtain the optimal solution in the whole network and it is also suitable for the solution of the demand response strategy model.