Electrical load type identification method

Abstract

The invention discloses an electrical load type method. An improved decision tree classifier or a composite optimization decision tree classifier is adopted to carry out electrical load type identification, input characteristics of the classifier comprise starting current characteristics of an electrical load and steady-state current spectrum characteristics of the electrical load, and the starting current characteristics comprise the starting process time, a starting current maximum value and the starting current maximum value time; all input characteristics of different electrical load typescan fall into corresponding intermittent input characteristic overlapping areas; or when part of the input features fall out of the effective intervals of the corresponding interval input features and the other input features fall into the corresponding interval input feature overlapping areas, electrical load type identification is completed, and the generalization ability and the identificationaccuracy are high.

Description

technical field [0001] The invention relates to an equipment identification and classification device and method, in particular to an electrical load type identification method. Background technique [0002] At present, mainstream electrical load type identification devices and methods including electrical load property identification include electrical load identification methods based on load power comprehensive coefficient algorithms, electrical load identification methods based on electromagnetic induction, and electrical load identification methods based on neural network algorithms. method, electrical load identification method based on periodic discrete transform algorithm, etc. Various methods can realize the identification of electrical load properties to a certain extent, but due to the single characteristic properties and single identification means, there are generally problems of insufficient generalization ability and incomplete and accurate identification. C...

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Problems solved by technology

Various methods can realize the identification of electrical load properties to a certain extent, but due to the single characteristic properties and single identification means, there are generally problems of insufficient generalization ability and incomplete and accurate identification.

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