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Noninvasive household load characteristic automatic extraction method and device

A technology for automatic extraction of load characteristics, applied to measuring devices, instruments, and measuring electrical variables, can solve problems such as poor scalability, significant errors, and low efficiency, and achieve the effects of avoiding errors, facilitating installation and transformation, and improving efficiency

Active Publication Date: 2017-02-22
WASION GROUP HLDG
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  • Claims
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Problems solved by technology

Most of the existing load identification methods adopt manual offline extraction of equipment features, which show inefficiencies, significant errors, and poor scalability in the application process.

Method used

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  • Noninvasive household load characteristic automatic extraction method and device
  • Noninvasive household load characteristic automatic extraction method and device
  • Noninvasive household load characteristic automatic extraction method and device

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Embodiment Construction

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0045] Depend on figure 1 It can be seen that the non-invasive household load feature automatic extraction method described in the present invention specifically includes the following steps:

[0046] S1: Sampling the voltage and current according to the set frequency and accuracy at the monitored user's household electricity entrance;

[0047] S2: According to the real-time sampling information obtained in S1, monitor the user's household load switching operation events, that is, the monitoring active power value changes, and the change value P delta greater than the predetermined threshold P threshold , execute S3. Otherwise, continue to execute S2;

[0048] S3: Intercept the sampling data of N cycles of voltage and current before and after the active value changes, where N is a non-zero positive intege...

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Abstract

The invention relates to a noninvasive household load characteristic automatic extraction method and device. The method comprises the following steps that voltage and current are sampled at the electrical entrance of the monitored user household according to the set frequency and precision; a user household load switching operation event is monitored; the voltage and current sampling data before and after the effective switching event are intercepted; the load steady state and transient state characteristics are analyzed; and the load characteristic data are transmitted to the user side to perform information marking according to the specified format. Invasion of the user household is not required so that installation and reconstruction are facilitated. The load characteristic information is automatically extracted so that the effect efficiency can be enhanced and the error caused by manual operation can be avoided.

Description

technical field [0001] The invention relates to a non-invasive automatic household load feature extraction method and device, belonging to the technical fields of household load monitoring, load forecasting and modeling, and the like. Background technique [0002] Relevant statistical studies have shown that if high-efficiency energy management methods are used, building power consumption can be reduced by 10-15%. As one of the key technologies of household energy management, non-intrusive household load identification technology has been extensively studied. [0003] In the intrusive household load identification technology, the characteristics of the load are the practical basis of the technology. The characteristics of domestic loads are further divided into two categories: steady state and transient state. Among them, the former is the feature quantity that can be extracted when the equipment is in a stable operation state, and the latter is the feature information dis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R22/10
CPCG01R22/10
Inventor 汤博汪龙峰任智仁杨鹏周宣周杰文
Owner WASION GROUP HLDG
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