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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

Pending Publication Date: 2022-07-15
JIANGSU ELECTRIC POWER CO +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Generally, the types of industrial and commercial users are complex, involving a wide variety of loads and various application scenarios, and it is difficult to directly apply the load identification algorithm on the residential side
Moreover, the current general industrial and commercial load identification research has just started, and the overall research level is still in the theoretical research stage, and a technological breakthrough is urgently needed
At the same time, there are a large number of large fluctuation motor loads in industry and commerce, and a large number of power changes will be generated during operation, which is difficult to identify by ordinary load identification algorithms

Method used

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051] This embodiment introduces a method for extracting motor-like load events based on sliding average optimization, including:

[0052] Obtain the pre-collected industrial and commercial general meter to be detected, and set the active power sequence of the sampling frequency;

[0053] The active sequence is divided into a plurality of data windows by using a sliding window of a set size, and the mean value of the active sequence in each data window is calculated respectively;

[0054] Compare the mean value of the active sequence of each data window and the adjacent previous data window, if the mean value of the active sequence of the current data window is larger than the mean value of the active sequence of the previous data window, the accumulated sequence is obtained by the accumulation sum algorithm;

[0055] The average slope difference calculation is performed on the accumulated sequence to obtain the forward difference of the accumulated sequence;

[0056] Accord...

Embodiment 2

[0081] This embodiment provides a device for extracting motor-like load events based on sliding mean optimization, including:

[0082] The acquisition unit is used to acquire the pre-collected industrial and commercial general meter to be detected, and set the active sequence of the sampling frequency;

[0083] a mean value calculation unit, used for dividing the active sequence into a plurality of data windows by using a sliding window of a set size, and respectively calculating the mean value of the active sequence in each data window;

[0084] The judgment unit is used to compare the average value of the active sequence of each data window and the adjacent previous data window. If the average value of the active sequence of the current data window is larger than the average value of the active sequence of the previous data window, the cumulative sequence is obtained through the cumulative sum algorithm. ;

[0085] an average slope difference calculation unit, used to calcu...

Embodiment 3

[0091] This embodiment provides a device for extracting motor-like load events based on sliding mean optimization, including a processor and a storage medium;

[0092] the storage medium is used for storing instructions;

[0093] The processor is configured to operate in accordance with the instructions to perform the steps of the method according to any of Embodiment 1.

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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.

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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Application Information

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IPC IPC(8): G06F17/18G06Q50/06
CPCG06F17/18G06Q50/06
Inventor 马云龙王黎明李新家严永辉裴子霞刘博文孙爱兵
Owner JIANGSU ELECTRIC POWER CO
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