WO2019128844A1 - Procédé d'identification non invasive de fonctionnement de four à micro-ondes fondée sur des critères hybrides - Google Patents

Procédé d'identification non invasive de fonctionnement de four à micro-ondes fondée sur des critères hybrides Download PDF

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Publication number
WO2019128844A1
WO2019128844A1 PCT/CN2018/122388 CN2018122388W WO2019128844A1 WO 2019128844 A1 WO2019128844 A1 WO 2019128844A1 CN 2018122388 W CN2018122388 W CN 2018122388W WO 2019128844 A1 WO2019128844 A1 WO 2019128844A1
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WIPO (PCT)
Prior art keywords
power
microwave oven
sequence
reactive power
time
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PCT/CN2018/122388
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English (en)
Chinese (zh)
Inventor
邓士伟
傅萌
苗青
耿树军
冯燕钧
何朝伟
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江苏智臻能源科技有限公司
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Application filed by 江苏智臻能源科技有限公司 filed Critical 江苏智臻能源科技有限公司
Priority to SG11201910685VA priority Critical patent/SG11201910685VA/en
Publication of WO2019128844A1 publication Critical patent/WO2019128844A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00—Arrangements for measuring electric power or power factor
    • G01R21/06—Arrangements for measuring electric power or power factor by measuring current and voltage

Definitions

  • the invention belongs to the technical field of intelligent electricity, and relates to a non-intrusive identification method for operating a microwave oven based on a mixing criterion.
  • China's residential electricity currently presents the following characteristics: First, the growth rate is high. In 2016, the proportion of residents' newly-occupied electricity consumption is as high as 38%. Second, the behavior is complicated. Due to the large number of individuals, there are many types of household appliances, and the users are The use of electricity is very complicated; third, the comprehensive energy consumption is high, and the comprehensive energy consumption of residential users is much higher than that of developed countries such as Japan. Resident power load monitoring and decomposition technology is an emerging smart grid basic support technology. Unlike current smart meters, which measure only the total user power, it monitors and decomposes the startup time, working status and energy consumption of all electrical appliances in the household. Targeted to achieve more reliable and accurate electrical energy management.
  • the power load monitoring and decomposition technology makes the user's electricity bill list like the telephone bill list, and the power consumption of various household appliances is clear at a glance, so that the user can know his power usage in time, and reasonably allocate the power consumption time of each appliance and the corresponding use.
  • the power supply provides a reference, which can effectively reduce electricity expenses and waste of electricity. According to statistics, if household users can keep abreast of the detailed electricity consumption information of residential appliances, they can reduce monthly electricity bills by 5% to 15%. If half of the households in the United States save so much money each month, the reduction in carbon emissions is equivalent to reducing the use of 8 million cars.
  • ILMD Intrusive Load Monitoring and Decomposition
  • NLMD Non-intrusive Load Monitoring and Decomposition
  • Intrusive load monitoring installs sensors with digital communication functions at the interface of each electrical appliance to the grid, which can accurately monitor the operating status and power consumption of each load.
  • ILMD Intrusive Load Monitoring and Decomposition Technology
  • NLMD Non-intrusive load monitoring and decomposition technology
  • NILMD replaces the sensor network of ILMD system with decomposition algorithm, which has the advantages of simplicity, economy, reliability, data integrity and easy promotion and application. It is expected to develop into a new generation of core technology in advanced measurement system (AMI).
  • AMI advanced measurement system
  • the NILMD algorithm can also be integrated into the chip of a smart meter. It supports the advanced functions of smart power such as demand side management and custom power package, and is also suitable for temporary load power detail monitoring and investigation.
  • a microwave oven is a cooking appliance that uses food to absorb microwave energy in a microwave field to heat itself.
  • the microwave generated by the microwave generator in the microwave oven establishes a microwave electric field in the cavity of the microwave oven, and takes certain measures to make the microwave electric field be evenly distributed in the furnace cavity, put the food into the microwave electric field, and control the cooking time by the control center. And microwave electric field strength to carry out a variety of cooking processes.
  • the power range of a microwave oven is generally 800 to 1500 watts.
  • NILMD technology has gradually become a research hotspot, and the breakthrough and industrialization of related technologies are of great significance to the goal of energy conservation and emission reduction in the whole society.
  • the research on NILMD technology is still in the theoretical research stage, and key technologies such as intermittent operation load, especially the decomposition identification method of microwave oven, have yet to be broken.
  • a non-intrusive identification method for microwave oven operation based on a hybrid criterion includes the following steps:
  • the first time window includes m power frequency periods, each power frequency period includes n sampling points, and k is a sampling point number of the average power sequence;
  • sampling frequency f in the step 1) ranges from 0.5 kHz to 2 kHz.
  • the real-time average active power sequence P(k) and the real-time average reactive power sequence Q(k) in step 2) are calculated by the following formula:
  • n is the number of sampling points included in one power frequency period.
  • time length of the second time window in step 3 is n ⁇ T, where n is the number of sampling points included in one power frequency period, and T is a power frequency period.
  • n 1000 ⁇ (f / 50).
  • step 1) a voltage sensor and a current sensor are used to sample the voltage and current signals of the total power incoming line.
  • the invention has the beneficial effects that the non-intrusive identification method of the microwave oven operation based on the hybrid criterion of the invention fully considers the characteristics of the active power, the reactive power change and the running time characteristic when the microwave oven starts and stops, thereby accurately distinguishing the microwave oven and the inductive Working appliances (such as rice cookers, etc.) increase the accuracy of non-invasive identification of microwave ovens.
  • Figure 1 is a schematic flow chart of the present invention
  • 2 is a calculation result of real-time average active power of a non-intrusive identification method of a microwave oven based on a mixing criterion
  • FIG. 3 is a graph showing calculation results of real-time average reactive power of a microwave oven non-intrusive identification method based on a mixing criterion.
  • the non-intrusive identification method of the microwave oven based on the power phase change characteristic of the present invention has the following specific steps:
  • the power of the microwave oven has been changing during operation.
  • the active power and reactive power intermittently appear two step changes.
  • the first stage of active power is raised by 220W, and the reactive power is raised by about 800Var.
  • the second stage The active power is raised by 1020W; the reactive power is reduced by about 500Var, then the active power is stabilized at about 1300W, and the reactive power is stabilized at about 300Var.
  • the values of ⁇ P(k) and ⁇ Q(k) are obtained according to the calculation formula.
  • step (2) it is determined whether the load is power uplift by detecting the magnitude of ⁇ Q(t). If the power is not up, return to step (2). Otherwise, the lifting time is recorded as T on (i), and the active increment is recorded as ⁇ P u , reactive power. The increment is recorded as ⁇ Q u .
  • step (2) it is determined whether the load is a power drop by detecting the ⁇ P(t) value, and if not, returning to step (2); otherwise, the change time is recorded as T off (i), and the active increment is recorded as ⁇ P d , and the power is increased. The amount is recorded as ⁇ Q d , and ⁇ P d , ⁇ Q d , and T off (i) are added to the starter meter.
  • Each time the running time is 10s to 30s, it can be judged that the microwave oven is running, and the approximate rated power P s of the microwave oven can be obtained .

Abstract

L'invention concerne un procédé d'identification non invasive de fonctionnement de four à micro-ondes fondée sur des critères hybrides, le procédé comprenant : l'échantillonnage de signaux de tension et de courant d'un câble d'entrée d'alimentation principal afin de former une séquence d'échantillonnage de signal de tension u et une séquence d'échantillonnage de signal de courant i ; le calcul d'une variation de puissance active delta P(i) et d'une variation de puissance réactive delta Q(i) ; la détermination de l'élévation ou de la chute de puissance par l'intermédiaire de la variation de puissance, et la mémorisation de la valeur d'élévation de puissance active delta Pu(i), de la valeur d'élévation de puissance réactive delta Qu(i) et du temps d'élévation Ton(i) dans une liste d'appareils électriques démarrés, lorsque la puissance réactive augmente ; et l'enregistrement de la valeur de chute de puissance active delta Pd(i), de la valeur de chute de puissance réactive delta Qd (i) et du temps de chute T off(i) lorsque la puissance active chute, et la mise en correspondance des informations de charge dans la liste d'appareils électriques démarrés, et la détermination du fonctionnement d'un four à micro-ondes et le calcul de la puissance nominale similaire du four à micro-ondes en fonction de la puissance active, de la puissance réactive et des caractéristiques temporelles de la charge. Grâce au procédé, le fonctionnement du four à micro-ondes peut être détecté avec précision, et un soutien technologique est fourni pour réaliser une identification non invasive du four à micro-ondes.
PCT/CN2018/122388 2017-12-26 2018-12-20 Procédé d'identification non invasive de fonctionnement de four à micro-ondes fondée sur des critères hybrides WO2019128844A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
SG11201910685VA SG11201910685VA (en) 2017-12-26 2018-12-20 Non-invasive identification method of microwave oven operation based on hybrid criteria

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201711428328.3A CN108152574A (zh) 2017-12-26 2017-12-26 一种基于混合判据的微波炉运行的非侵入辨识方法
CN201711428328.3 2017-12-26

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WO2019128844A1 true WO2019128844A1 (fr) 2019-07-04

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CN (1) CN108152574A (fr)
SG (1) SG11201910685VA (fr)
WO (1) WO2019128844A1 (fr)

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108152574A (zh) * 2017-12-26 2018-06-12 江苏智臻能源科技有限公司 一种基于混合判据的微波炉运行的非侵入辨识方法
CN109596918B (zh) * 2018-12-07 2020-06-19 江苏智臻能源科技有限公司 一种破壁机非侵入辨识方法
CN110672934A (zh) * 2019-08-23 2020-01-10 北京中电飞华通信股份有限公司 一种非侵入式负荷辨识方法、终端及系统
CN111208375B (zh) * 2020-03-04 2022-03-18 威胜集团有限公司 定频电器启动的实时监测方法、装置和存储介质
CN111665387B (zh) * 2020-05-08 2021-06-04 深圳供电局有限公司 一种非侵入式的家用电饭煲辨识方法
CN111665388A (zh) * 2020-05-18 2020-09-15 深圳供电局有限公司 一种非侵入式的家用空调辨识方法
CN113219268B (zh) * 2021-03-26 2022-11-04 国电南瑞科技股份有限公司 一种多态电器的非侵入辨识方法及装置
CN113655337A (zh) * 2021-07-27 2021-11-16 上海千居智科技有限公司 一种非侵入式用电设备运行序列识别方法及识别系统

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US20100287489A1 (en) * 2009-05-05 2010-11-11 Harold Gene Alles Power Monitoring and Analysis System for Identifying Individual Electrical Devices
CN105629065A (zh) * 2016-01-07 2016-06-01 东南大学 基于平均有功无功综合频谱分析的微波炉非侵入辨识方法
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US20100287489A1 (en) * 2009-05-05 2010-11-11 Harold Gene Alles Power Monitoring and Analysis System for Identifying Individual Electrical Devices
CN105629065A (zh) * 2016-01-07 2016-06-01 东南大学 基于平均有功无功综合频谱分析的微波炉非侵入辨识方法
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