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Non-intrusive household appliance identification method

A technology for household appliances and identification methods, which is applied in the field of non-intrusive household appliance identification, and can solve the problems of single entry point and accuracy impact

Inactive Publication Date: 2016-11-09
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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  • Description
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  • Application Information

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Problems solved by technology

The above methods all achieve load identification by extracting and transforming transient feature quantities, but the entry point is relatively single, and its accuracy will be affected due to the uncertainty of transient features in the actual environment

Method used

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  • Non-intrusive household appliance identification method

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Embodiment Construction

[0042] The present invention will be described in detail below in conjunction with the accompanying drawings. The present invention proposes a non-intrusive identification method for household electrical appliances. Electric kettles, small suns, television sets and microwave ovens are selected as typical electrical appliances for simulation, and the present invention is further described in conjunction with the accompanying drawings.

[0043] figure 1It is a flow chart of the non-intrusive household appliance identification method of the present invention. Specifically include:

[0044] Step 1. Use the collection device installed at the household power entrance to collect the voltage and current data of a single household appliance, use the voltage data as the input data sequence of the subsystem, and the current data as the output data sequence, and store the data;

[0045] Step 2, using the system identification method to calculate the spectral density function of the inpu...

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Abstract

The invention belongs to the technical field of electric power load identification, and in particular relates to a non-invasive household appliance identification method. Household appliance devices are taken as a separate system. Current and voltage waveforms of single household appliance are collected. Voltage is used as input data. Current is used as output data. The output response of the system under input action is measured. The spectral density function of input and output sequences is calculated to acquire the system characteristics of a sub system. The system characteristic feature library of household appliances is formed. General current and voltage waveforms at the entrance of household electric power are collected, and the system characteristics of the general system are calculated. Matching analysis is carried out on the frequency range of the frequency response of the general system and the frequency range of the frequency response of sub systems in the feature library to determine the internal structure and composition of the overall load system to realize the identification of household appliances. According to the invention, the kind of household appliances can be effectively identified through measured data, and the method has the advantages of simple algorithm and high accuracy, and is robust to dynamic fluctuation of load power.

Description

technical field [0001] The invention belongs to the technical field of electric load identification, and in particular relates to a non-invasive identification method for household appliances. Background technique [0002] With the development of smart grid, the proportion of residential users' electricity load in the power load is increasing. As an important part of the power load, the fine management of residential load has increasingly attracted widespread attention from the society. The online monitoring of household appliances is the basis for realizing the visualization of electricity consumption by residential users. It helps users understand the specific energy consumption of various electrical equipment in the home at different times, and based on this, they can formulate reasonable electricity consumption plans, improve the energy consumption structure, and promote energy consumption. Efficient use of energy to reduce household electricity bills. On-line monitorin...

Claims

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Application Information

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IPC IPC(8): G01R31/00
CPCG01R31/00
Inventor 祁兵韩璐武昕董超孙毅李彬
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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