Non-intrusive household appliance load identification method

Abstract

The invention belongs to the technical field of power load identification, and particularly relates to a non-intrusive household appliance load identification method. Firstly, a household appliance load is regarded as an independent system, steady-state voltage and steady-state current data in the case of independent operation of each household appliance load are acquired, and according to steady-state current wave crest coefficients, loads are divided into a type of approximately linear loads and a type of nonlinear loads; the steady-state voltage then serves as input data, the steady-state current serves as output data, a system identification method is used for building models for the two types of loads, and a model library is formed; and finally, the steady-state voltage and the steady-state current of a to-be-identified load are acquired, a model library type is determined through pre-selection, and the load is identified according to a model matching principle. The actually-measured data can be used for effectively identifying the linear loads and the nonlinear loads, the algorithm is simple, the operational efficiency is quick, the method can be applied to a condition with increased loads in a home network, large-scale training is not needed when a new load is added to a power consumption network, and a model only needs to be built for the load, and the model is added to the corresponding model library.

Description

technical field [0001] The invention belongs to the technical field of electric load identification, and in particular relates to a non-invasive household load identification method. Background technique [0002] Household users are an important consumer of the smart grid and an important part of the microgrid. At present, the degree of intelligence of the power grid is largely limited by the development of demand-side management technology. Appliance load identification is the key basis for demand-side management. Through load identification, the usage of various household appliances can be monitored online to realize the classified measurement of electricity charges. . This can not only enable users to keep abreast of their specific electricity consumption conditions, reasonably arrange the electricity consumption time of various electrical appliances, and reduce electricity bills; it also helps power companies understand the load composition of users, realize real-time i...

AI Technical Summary

Problems solved by technology

Non-intrusive load identification methods can be roughly divided into two categories. One is load identification characterized by transient steady state information. Most of them rely on the voltage disturbance caused by load switching or the information hidden in power and current to identify loads. , it is not easy to identify the situation where a variety of electrical appliances are mixed

The other is a recognition method based on pattern classification and intelligent computing. This method takes a lot of time to train and learn sample data, and once the load type changes, it needs to be retrained and learned.

Images