Closeness degree algorithm and its application in load identification

In recent years, with the construction of smart grid, the participation degree of the demand side to the power market is increasingly high. For the identification of the load is like a list of electricity, can help the user side to better respond to peak and valley price, reasonable arrangement of electricity time, and then to achieve energy saving. This paper focuses on the analysis of household load identification, based on the data provided by smart meters, using the steady-state and transient power characteristics of household appliances as the reference value of the similarity comparison. By contacting the household electrical appliances manufacturers access to the main electrical equipment temporarily steady-state characteristics as the basic template, through closeness degree to determine the load and the working condition, by switching characteristics determine the electricity of load. The principle of this method is simple and easy to implement, and the experimental results verify the accuracy and feasibility of the method.