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Non-intrusive air conditioner load identification method and system fusing multi-time scale information

A multi-time scale, air-conditioning load technology, applied in character and pattern recognition, instruments, computing and other directions, can solve the problems of high algorithm complexity, poor pertinence, large amount of calculation, etc., to avoid large neural networks and deep learning. Network, solve the effect of inaccurate start-stop identification and simple logic structure

Active Publication Date: 2021-09-21
STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT +2
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing non-intrusive load identification methods, on the one hand, the pertinence is not strong, and the ability and accuracy of air-conditioning load identification still need to be improved; Applicability of equipment needs to be enhanced

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  • Non-intrusive air conditioner load identification method and system fusing multi-time scale information
  • Non-intrusive air conditioner load identification method and system fusing multi-time scale information
  • Non-intrusive air conditioner load identification method and system fusing multi-time scale information

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Embodiment 1

[0153] In order to further illustrate the non-intrusive air-conditioning load identification algorithm fused with multi-time scale information of the present invention, and to analyze the accuracy of the algorithm in air-conditioning load identification, the preferred embodiment of the present invention selects a fixed-frequency air-conditioner as a typical representative of air-conditioning load. The proposed method identifies the air-conditioning load, and at the same time, the identification algorithm proposed by the present invention is compared with "a non-invasive load identification method for distinguishing between fixed-frequency air conditioners and impact drills". The load curve of an air conditioner under standard working conditions is as follows: figure 2 As shown, the second harmonic current curve of an air conditioner under standard working conditions is as follows image 3 shown.

[0154] Figure 4 It shows the comparison between the method proposed in the p...

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Abstract

According to the non-intrusive air conditioner load identification method and system fused with the multi-time scale information, the start-stop and operation states of the air conditioner load are comprehensively judged by intercepting the air conditioner load information on multiple time scales such as the power frequency period level, the second level and the minute level, and accurate identification of the air conditioner load under the multi-electric-appliance superposition state is achieved. On the basis of load high-frequency sampling data, firstly, current impact detection and classification are carried out by adopting a sliding window under a power frequency period-level time scale, and the air conditioner load starting time is accurately detected; secondly, according to the load frequency reduction data, power step detection and power fluctuation detection are conducted on the second-level time scale and the minute-level time scale respectively, and actual power rising and falling of the air conditioner load are found in a positioning mode. Finally, the three kinds of time scale information are integrated to carry out air conditioner load start-stop moment judgment and electric quantity decomposition calculation. According to the method and system, the problem of low identification accuracy caused by the characteristics of slow rise of air conditioner load power, large volatility and the like in the existing non-intrusive load identification technology is solved.

Description

technical field [0001] The present invention relates to the technical field of non-intrusive load identification, and more specifically, to a non-intrusive air-conditioning load identification method and system that integrates multi-time scale information. Background technique [0002] With the continuous improvement of the electrification and intelligence level of residential users in our country, smart electricity technologies such as household energy management and residential energy analysis are gradually being piloted and promoted. The intrusive load identification technology can effectively realize the high-precision monitoring of residents' load by adding measurement sensors into the household, but there are many factors that are not conducive to popularization and application, such as high hardware costs and difficulties in household renovation. Since the non-intrusive load identification technology was proposed in 1992, it has quickly attracted extensive attention f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G01R31/00
CPCG01R31/00G06F2218/08G06F2218/12G06F18/23G06F18/24155
Inventor 黄奇峰方凯杰左强杨世海黄艺璇刘恬畅程含渺陈铭明李波陆婋泉曹晓冬
Owner STATE GRID JIANGSU ELECTRIC POWER CO LTD MARKETING SERVICE CENT