Non-invasive resident load identification method

A load identification and non-intervention technology, which is applied in complex mathematical operations, measuring devices, instruments, etc., can solve the problems of large errors and low accuracy of algorithm identification, and achieve the effect of low cost, simple installation and maintenance

Inactive Publication Date: 2016-08-03
SHANGHAI MUNICIPAL ELECTRIC POWER CO +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are few domestic researches on the online monitoring of household electrical appliances. Although the current non-intervention system solves the problems of the traditional monitoring system, it has the disadvantages of low algorithm recognition accuracy and large errors.

Method used

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  • Non-invasive resident load identification method
  • Non-invasive resident load identification method
  • Non-invasive resident load identification method

Examples

Experimental program
Comparison scheme
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Embodiment

[0044] figure 1 It is a schematic diagram of load identification. By monitoring the voltage and current signals of the incoming line terminals, the working information of household appliances in a day can be identified. Based on this information, residents can clearly know the energy consumption of each appliance. Therefore, residents can reasonably arrange the use of electrical equipment, formulate corresponding energy-saving strategies, and purchase energy-saving equipment for high-energy-consuming electrical appliances to achieve energy-saving goals.

[0045] figure 2 It is a detailed schematic diagram of non-intervention load identification for a single household, wherein the non-intervention load identification device is not limited to be installed in front of the control panel, but can also be integrated in the control panel.

[0046] image 3 The specific process for load identification using intelligent algorithms:

[0047] Step 301: start;

[0048] Step 302: Read...

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Abstract

The invention relates to a non-intervention resident load identification method, comprising the following steps: 1) Obtaining load characteristic indexes of all resident electrical appliances in a resident family, and constructing a resident family load characteristic database; Identify the load and perform voltage and current sampling, and preprocess the sampled data; 3) judge whether the residential load switching event occurs according to the passed voltage and current sampling values, if so, proceed to step 4), if not, return to step 2 ); 4) Extract the characteristic index of the load to be identified according to the sampled values ​​of the passing voltage and current; 5) According to the established database of residents’ household load characteristics and the characteristic index of the load to be identified, determine the load type where the switching event occurs, and obtain the Working status information of home appliances in the home. Compared with the prior art, the present invention has the advantages of simplicity, convenience, accuracy, strong anti-interference and the like.

Description

technical field [0001] The invention relates to a load identification method, in particular to a non-intervention resident load identification method. Background technique [0002] With the development of society, household electricity consumption accounts for an increasing proportion of the total electricity consumption of the distribution network. According to statistics, this proportion has reached 40%. Moreover, with the advancement of urbanization in our country, the demand for housing will continue to increase with the growth of urban population in the future. Therefore, the benefits of household energy saving and emission reduction are of great significance to the sustainable development of our country. [0003] Energy consumption monitoring is the basis for carrying out energy-saving work. Studies have shown that obtaining real-time power consumption information of electrical appliances can effectively reduce energy consumption by 20%. The traditional monitoring sy...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/00G06F17/15
CPCG01R31/00G06F17/15
Inventor 潘爱强林顺富赵伦加刘庆强杨秀刘蓉晖汤波
Owner SHANGHAI MUNICIPAL ELECTRIC POWER CO
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