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Non-intrusive load identification method fusing transient and steady state characteristics

A non-invasive, load identification technology, applied in the direction of instruments, biological models, electrical devices, etc., can solve problems such as single steady state characteristics or transient states, and achieve the effect of improving the accuracy of load identification

Pending Publication Date: 2022-07-05
GUIZHOU POWER GRID CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a non-intrusive load identification method that integrates transient and steady-state characteristics, so as to solve the problem of using a single steady-state There are technical problems such as limitations in load identification based on characteristics or transient states

Method used

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  • Non-intrusive load identification method fusing transient and steady state characteristics
  • Non-intrusive load identification method fusing transient and steady state characteristics
  • Non-intrusive load identification method fusing transient and steady state characteristics

Examples

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Embodiment 1

[0066] Example 1: as figure 1 As shown, a non-intrusive load identification method incorporating transient steady state features includes:

[0067] Step S1: Obtain voltage and current data when the load is running, and thereby obtain a power sequence of the load. In this example, a smart socket is used to collect the required data. The sampling frequency of the smart socket is 6.4kHz, and the sampling accuracy is 0.5; the types of electrical appliances include electric blankets, fans, lamps, hair dryers, electric kettles, induction cookers, and electric vehicle chargers. After obtaining the voltage and current data, perform the following processing on each cycle voltage and current data to obtain the power sequence of the load:

[0068]

[0069]

[0070]

[0071] Among them, N p is the number of sampling points per cycle, u k (k=1,2,...N p ) is the voltage sampling value, i k (k=1,2,...N p ) is the current sampling value, U rms is the rms value of the voltage,...

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Abstract

The invention discloses a non-intrusive load identification method fusing transient and steady state characteristics, which comprises the following steps of: acquiring voltage and current data when a load operates, thereby acquiring a power sequence of the load, including active power, reactive power and apparent power; detecting the switching state of the load by adopting a sliding window algorithm, and separating transient data and steady state data of the load; required electrical characteristic quantities are extracted from the obtained transient state data and steady state data respectively, and respective characteristic vectors are obtained; inputting the transient feature vectors into a trained XGBoost model, and inputting the steady-state feature vectors into a trained random forest RF model to obtain respective recognition results; basic probability allocation (BPA) is constructed according to the classification recognition result, and fusion is carried out by adopting a D-S evidence theory to obtain a final recognition result; more information of the electric equipment is utilized, and the load identification precision is improved.

Description

technical field [0001] The invention belongs to the technical field of load identification, and in particular relates to a non-invasive load identification method integrating transient steady state features. Background technique [0002] In recent years, with the needs of the times and the development of industry technology, the power grid has gradually become intelligent. As an important part of smart grid, load monitoring and identification is of great significance to the construction of smart grid, attracting scholars and enterprises to invest in its research. [0003] At present, the international load identification methods mainly adopt invasive and non-invasive methods. Among them, the intrusive identification method (ILM) needs to install a monitoring module in each electrical equipment. Although the identification effect is accurate, it is difficult to popularize on a large scale due to its inconvenient installation, high cost, and difficult maintenance. Intrusive ...

Claims

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Application Information

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IPC IPC(8): H02J13/00H02J3/00G01R21/00G01R21/06G06N3/00
CPCH02J13/00002H02J3/00G01R21/002G01R21/003G01R21/005G01R21/06G06N3/006H02J2310/70
Inventor 谈竹奎刘斌唐赛秋张秋雁代吉玉蕾张锐锋徐宏伟胡厚鹏
Owner GUIZHOU POWER GRID CO LTD
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