Unsupervised non-intrusive load identification method and system based on power theme discovery

Abstract

The invention discloses an unsupervised non-intrusive load identification method based on power theme discovery. The method comprises the following steps: collecting total active power signals at a home entry to form a load power time sequence; filtering power peaks of a non-fluctuation section from an original active power time sequence by adopting a median filtering preprocessing method; detecting the key points (an important extreme point and an important trend turning point) of the load power time sequence, and marking in the time sequence; segmenting the time sequence into a plurality of subsequences with different lengths based on the key points; and storing subsequently extracted subsequences in a subsequence list, matching the extracted subsequences with templates in an electric appliance load mark template library in a template matching mode, and finally achieving unsupervised non-intrusive load recognition. According to the invention, subsequences which frequently appear in a time sequence and have any duration can be autonomously found, load events corresponding to the start-stop process of the electric appliance can be detected, and a complex power change mode in the operation process of the electric appliance can be found.

Description

technical field [0001] The invention relates to the field of non-invasive load identification, in particular to an unsupervised non-invasive load identification method and system based on power theme discovery. Background technique [0002] Non-intrusive load identification can obtain information such as the working status, power consumption and accumulated power of each or each type of electrical appliances inside it only by collecting and analyzing the total current and terminal voltage of the load. It replaces the sensor network of the intrusive load monitoring system with a software algorithm. It has the advantages of simplicity, economy, reliability, good data integrity, and easy rapid application. It is expected to become the new generation of smart meters in the smart grid advanced measurement system (AMI). The core technology provides support for the advanced functions of intelligent power distribution. [0003] Unsupervised non-intrusive load identification can ind...

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Problems solved by technology

[0006] At present, although there are many researches on topic discovery at home and abroad, few of them combine it with the electrical power pattern mining method suitable for unsupervised and non-intrusive load identification. The existing variable-length topic discovery method, therefore, can consider combining the research results of these two fields to design a topic discovery-based electrical power pattern mining method suitable for unsupervised non-intrusive load identification

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