Non-invasive load transient monitoring method based on big data

A non-intrusive, load monitoring technology, applied in the direction of data processing applications, instruments, resources, etc., can solve the problems of low transient recognition rate and large amount of data in the transient process, and achieve the effect of highlighting substantive characteristics

Inactive Publication Date: 2018-06-22
UNIV OF JINAN
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of low transient recognition rate of non-intrusive load monitoring caused by many load types and large amount of transient process data, and propose a non-intrusive load transient monitoring method based on big data technology The method uses big data technology to obtain a large amount of transient process data from the accumulated massive power load data, and realizes the transient monitoring function of non-intrusive load decomposition by constructing a training model and a test model

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  • Non-invasive load transient monitoring method based on big data
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  • Non-invasive load transient monitoring method based on big data

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Embodiment 1

[0033] Such as Figures 1 to 3 As shown, a method for non-intrusive load monitoring based on big data provided by the present invention is characterized in that: comprising the following steps:

[0034] (1) Remote collection of power data, through data monitoring and monitoring control of the power system, comprehensively collects actual measurement samples of various transient processes;

[0035] (2) Establish a training model for non-invasive load monitoring to form a discrimination space;

[0036] (3) Carry out actual measurement of non-intrusive load transient monitoring, and discriminate the measured transient process according to the discriminant space.

[0037] Further, such as figure 1 As shown, the power system in the step (1) is mainly connected to the host computer by the central station, and the host computer performs data collection through the RTU control device through the transmission channel.

[0038] Further, the step (2) includes the following steps:

[...

Embodiment 2

[0046]In the power system, the SCADA system is the most widely used and the technology development is the most mature. As one of the most important subsystems of the energy management system (EMS system), it has the advantages of complete information, improved efficiency, correct control of system operating status, faster decision-making, and quick diagnosis of system fault status. It has become an indispensable part of power dispatching. missing tools. It plays an irreplaceable role in improving the reliability, safety and economic benefits of power grid operation, reducing the burden on dispatchers, realizing the automation and modernization of power dispatching, and improving the efficiency and level of dispatching.

[0047] The electric power data remote collection system is the physical basis for building a smart grid. The system applies emerging computer technology, communication and control technology, and advanced sensing technology to it, thereby realizing remote data...

Embodiment 3

[0067] A non-intrusive load monitoring method based on big data proposed by the present invention analyzes the relevant theoretical basis and lists the relevant model processes. In this embodiment, to obtain the transient waveform diagram of the electrical equipment needs to pass The following steps:

[0068] (1) Remote collection of power data, through data monitoring and monitoring control of the power system, comprehensively collects actual measurement samples of various transient processes;

[0069] (2) Establish a training model for non-invasive load monitoring to form a discrimination space;

[0070] (3) Carry out actual measurement of non-intrusive load transient monitoring, and discriminate the measured transient process according to the discriminant space.

[0071] In this embodiment, taking common electrical equipment refrigerators, air compressors, TV sets, and lighting in the power system as examples, the modeling is carried out according to the above steps, and t...

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Abstract

The invention belongs to the technical field of big data monitoring application, and particularly relates to a non-invasive load monitoring method based on big data. The non-invasive load monitoring method based on the big data includes the following steps that (1) power data is remotely collected, a power system is subjected to data monitoring and monitoring controlling, and actually-measured samples of all transient processes are fully collected; (2) a training model of non-invasive load monitoring is built, and distinguishing space is formed; (3) the non-invasive load transient monitoring is actually measured, actually-measured transient processes are distinguished according to the distinguishing space. According to the non-invasive load monitoring method based on the big data, big-datatechnological means are taken, and a large amount of transient-process data is obtained from accumulated mass power load data; according to the reasonable load classification method, suitable characteristic parameters are selected for building high-dimensional characteristic distinguishing space, and the non-invasive load monitoring function can be accurately and rapidly achieved with the dimension descending and classification method in the big-data technological means.

Description

technical field [0001] The invention belongs to the technical field of big data monitoring applications, and in particular relates to a method for non-invasive load monitoring based on big data. Background technique [0002] In today's society, computer technology has developed rapidly, and information technology has opened the door for human beings to enter an intelligent society, driving the development of modern service industries such as the Internet, the Internet of Things, e-commerce, modern logistics, and online finance, and giving birth to the Internet of Vehicles, intelligent The development of emerging industries such as power grids, new energy, intelligent transportation, intelligent cities, and high-end equipment manufacturing. Since humans have to deal with more and more data, simple manual analysis can no longer meet people's expectations. Therefore, the wide range of database management systems application, saving manpower and material resources. As the capac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06
Inventor 乔佳张勇胡祉元韩雪潘婷
Owner UNIV OF JINAN
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