Motor type load event extraction method and device based on sliding mean value optimization

An extraction method and mean value technology, which is applied in the field of electric power research, can solve problems such as the research level staying at the theoretical research stage, the difficulty of load identification algorithm identification, and the difficulty of load identification algorithm, so as to achieve the retention of statistical inspection values, accurate and effective start-stop information, low cost effect
CN114756818APending Publication Date: 2022-07-15JIANGSU ELECTRIC POWER CO +1
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
JIANGSU ELECTRIC POWER CO
Publication Date
2022-07-15

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Abstract

The invention discloses a motor type load event extraction method and device based on sliding mean value optimization. The method comprises the following steps: acquiring an active sequence of a set sampling frequency at a pre-collected to-be-detected industrial and commercial general table; dividing the active sequence into a plurality of data windows by using a sliding window with a set size, and respectively calculating a mean value of the active sequence in each data window; comparing the active sequence mean values of each data window and the adjacent previous data window, and if the active sequence mean value of the current data window is greater than the active sequence mean value of the previous data window, obtaining an accumulation sequence through an accumulation sum algorithm; carrying out average slope difference calculation on the accumulation sequence to obtain a forward difference of the accumulation sequence; the method is a non-intrusive method, the monitoring effect can be achieved only by performing data acquisition at the user general table, the number of used devices is small, the cost is low, implementation is easy, and an important basis is provided for government supervision.
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Description

technical field

[0001] The invention relates to a method and a device for extracting motor load events based on sliding mean optimization, belonging to the technical field of electric power research. Background technique

[0002] In 2019, with the occurrence of many chemical plant explosions across the country, the government has continued to strengthen supervision of high-risk industrial and commercial users. Some industrial and commercial users, such as illegal "small chemical industry" with high fire risk and environmental pollution, hide in sparsely populated places and hidden corners, which brings great difficulty to the government's safety supervision and environmental protection supervision. Higher requirements are put forward for real-time and accurate industrial and commercial load identification.

[0003] In order to cope with the increasing power demand gap and the increasingly prominent safety supervision problems, the research on the monitoring technology of el...

Claims

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