Research of Load Behavior Based on NILM in Domestic Microgrid

The main problem studied in this paper is the power load decomposition based on NILM (non-intrusive load monitoring), that is, through the collected data, such as voltage, current, power, harmonic, etc., the artificial intelligence algorithm server is used for the load decomposition, to obtain the electricity status information of the dormitory electrical equipment, online identification of the use of prohibited appliances in college students dormitory. Design the network cloud configuration software and WeChat applet to display the information of electrical equipment behavior, and conduct big data processing for the use of equipment in the dormitory, so as to provide a data basis for optimizing the dormitory energy management. Finally, a prototype demonstration system based on NILM is designed and carried out, results of the experiment show high performance.