Sliding window residual error model-based load switching action monitoring method

Abstract

The invention discloses a sliding window auto-regression residual error model-based non-intrusive load switching action monitoring method. The method comprises the following steps of: obtaining current of a bus through NILM equipment such as an intelligent electric meter, and carrying out wavelet filtering and denoising on the current; and obtaining a current period maximum value sequence, obtaining a next current maximum residual error by using an AR regression model, and judging a load state according to a size relationship between the residual error and a threshold value. According to the method, double threshold values U and L are used for dividing corresponding events of load switching; the load switching action monitoring range is enlarged, and load switching actions with relativelylow power can be detected, so that missing detection, caused by power change, of load switching actions with small power is avoided; other electricity parameters of non-intrusive measurement equipmentdo not need to be obtained, and only current parameters of the bus are required, so that the requirement for non-intrusive performance is simplified; and through the category division of loads, the complexity of a whole NILM recognition algorithm can be simplified.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a load switching action monitoring method based on a sliding window residual model. Background technique [0002] The smart microgrid is an important development link in the smart grid. The analysis of the user's electricity consumption data and the flexible power consumption scheduling are conducive to saving electricity and building a smart microgrid. To achieve power monitoring for home users, non-intrusive devices such as smart meters and other power monitoring equipment can be installed at the entrance of the power supply. This non-intrusive load monitoring (NILM) method was proposed by Hart in the 1980s. The essence of NILM is a classification problem. The online identification and classification of loads can know the details of the load operation, and further can know the power consumption of each electrical appliance used by the user during this period of time. The ident...

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Problems solved by technology

[0007] The purpose of the present invention is to propose a non-intrusive load switching action monitoring method based on the sliding window autoregressive residual model to solve the problem that the switching action of low-power loads is easily missed in the existing transient event detection algorithm

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