Electric appliance fingerprint feature extraction method based on different Prony methods

A technology of electrical appliances and fingerprints, applied in the field of non-intrusive load monitoring, can solve problems such as difficult to model data, and achieve the effect of good energy scheduling

Active Publication Date: 2021-09-03
上海梦象智能科技有限公司
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Problems solved by technology

[0005] Aiming at the problems in the prior art that there are many features representing electrical fingerprints, it is difficult to model data and how to combine the extraction methods of two states to separate and extract circuit load features, the present invention provides a power fingerprint feature based on different Prony methods Extraction Method

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  • Electric appliance fingerprint feature extraction method based on different Prony methods
  • Electric appliance fingerprint feature extraction method based on different Prony methods
  • Electric appliance fingerprint feature extraction method based on different Prony methods

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Embodiment

[0090] The present invention proposes a method for extracting electrical fingerprints based on different Prony methods, the flow chart of which is as follows figure 1 As shown, it can be divided into the following steps:

[0091] Step 1: Obtain aggregated load information and perform data preprocessing;

[0092] Step 2: Model the input data according to the Prony method using exponentially damped linear components;

[0093] Step 3: Determine the linear prediction parameters that fit the available data, calculate the coefficient a[m] and the basic parameter set ba that need to be used later k ;

[0094] Step 4: Calculate exponential damping, sinusoidal frequency index, amplitude, and sinusoidal initial phase and other data;

[0095] Step 5: Classify different waveforms and extract electrical fingerprints.

[0096] 1. Data preprocessing

[0097] Non-intrusive load monitoring is applied at the power entrance, and can obtain aggregated load information. At this stage, the met...

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Abstract

The invention belongs to the technical field of non-intrusive load monitoring, and particularly relates to an electric appliance fingerprint feature extraction method based on different Prony methods. According to the method, some characteristic quantities showing unique characteristics during operation of the equipment are used as electric appliance fingerprints of the equipment and are used for describing different modes shown by current or voltage waveforms and the like of the equipment. Aggregated load information obtained aiming at non-intrusive load monitoring is extracted, five Prony methods are adopted to carry out electric appliance fingerprint extraction, so that transient (exponential damping) and steady-state (harmonic information) characteristics of circuit loads are obtained, and the electric appliance fingerprint of each load is separated by adopting a load decomposition means; and individual energy consumption of devices connected to a certain power bus is determined, and a change in electrical energy at a single point of the bus is measured. According to the invention, circuit load information can be better processed, and better energy scheduling and management of equipment in the circuit can be realized.

Description

technical field [0001] The invention belongs to the technical field of non-invasive load monitoring, and in particular relates to an electric appliance fingerprint feature extraction method based on different Prony methods. Background technique [0002] The application of non-intrusive load monitoring to the power grid can predict various load curves, which can be used to schedule the power grid and reduce unnecessary waste of resources; for home users, they can know the power consumption of household appliances to achieve better household power management and To achieve more energy-saving means. [0003] Non-intrusive load monitoring mainly determines the individual energy consumption of equipment connected to a power bus through various characteristics (such as current, voltage, etc.) The electrical fingerprint and how to extract it are the two most critical stages of non-intrusive load monitoring. In order to correctly extract electrical fingerprints, it is necessary to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06F17/16
CPCG06F17/16G06F2218/08G06F2218/12
Inventor 张珊珊
Owner 上海梦象智能科技有限公司
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