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Non-intrusive load identification method with self-learning ability and smart electric meter

A non-intrusive, identification method technology, applied in the field of non-intrusive load identification smart electric energy meter, can solve the problem that non-intrusive load identification technology cannot learn by itself

Active Publication Date: 2019-06-11
JIANGSU LINYANG ENERGY CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the deficiency that the existing non-intrusive load identification technology cannot be self-learning, and provide a non-intrusive load identification method with self-learning ability and a smart meter

Method used

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  • Non-intrusive load identification method with self-learning ability and smart electric meter
  • Non-intrusive load identification method with self-learning ability and smart electric meter
  • Non-intrusive load identification method with self-learning ability and smart electric meter

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Embodiment 1

[0089] figure 1 It is an overall functional block diagram of a non-intrusive load identification smart meter with self-learning ability of the present invention.

[0090] In this example, if figure 1 As shown, the non-intrusive load identification smart meter with self-learning ability, the identification method includes the following steps:

[0091] S1. The smart meter metering core collects 32 points per cycle, and provides a cycle of voltage and current sampling data to the smart meter load identification core in real time every 20ms.

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Abstract

The invention relates to a non-intrusive load identification method with a self-learning ability and a smart electric meter, aiming to overcome the defect that existing non-intrusive load identification technology cannot realize self-learning. A metering core of the smart electric meter provides voltage and current sampling data; a load identification core intercepts transient variation and peripheral steady state data and calculates a load characteristic, and a load identification and load characteristic library is updated and modified; and a management module interacts with a user so as to determine uncertain identification results, and calculates electric appliance running data. The load identification method realizes self-learning; when a new electric appliance is added, the existing identification method is still usable; the characteristic library size is kept within a certain range; and load identification operation amount is within a certain range.

Description

technical field [0001] The invention belongs to the technical field of non-invasive load identification, and in particular relates to a non-invasive load identification smart electric energy meter with self-learning ability. Background technique [0002] "Non-intrusive load identification" is a technology that uses electrical appliance feature construction and pattern recognition technology to analyze the power consumption status of end-users of the power grid, and specifically refines it to each household appliance; [0003] With the development of this technology, it is on the agenda of the power supply department to explore and build a real-time, sensitive terminal power grid perception, interaction and application system, and to provide "customer-centric" high-quality new power supply services; Provide data support by grasping the actual electricity consumption of the user's household appliances, predicting the electricity consumption of the terminal grid in advance, and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R11/00G01R22/10G01R31/00
Inventor 黄柳胜朱德省季海娟腾锋雷季海涛袁凯杰
Owner JIANGSU LINYANG ENERGY CO LTD
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