EP2715376A1 - Procédé de détection de transition pour contrôle de charge d'appareil électrique à réglage automatique et non intrusif - Google Patents

Procédé de détection de transition pour contrôle de charge d'appareil électrique à réglage automatique et non intrusif

Info

Publication number
EP2715376A1
EP2715376A1 EP12724313.7A EP12724313A EP2715376A1 EP 2715376 A1 EP2715376 A1 EP 2715376A1 EP 12724313 A EP12724313 A EP 12724313A EP 2715376 A1 EP2715376 A1 EP 2715376A1
Authority
EP
European Patent Office
Prior art keywords
transitions
value
residual signal
signal
measured signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP12724313.7A
Other languages
German (de)
English (en)
Inventor
Quentin JOSSEN
Frédéric KLOPFERT
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Universite Libre de Bruxelles ULB
Original Assignee
Universite Libre de Bruxelles ULB
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Universite Libre de Bruxelles ULB filed Critical Universite Libre de Bruxelles ULB
Priority to EP12724313.7A priority Critical patent/EP2715376A1/fr
Publication of EP2715376A1 publication Critical patent/EP2715376A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16528Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values using digital techniques or performing arithmetic operations
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D4/00Tariff metering apparatus
    • G01D4/002Remote reading of utility meters
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G01R19/16533Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
    • G01R19/16538Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
    • G01R19/16547Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies voltage or current in AC supplies
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D2204/00Indexing scheme relating to details of tariff-metering apparatus
    • G01D2204/20Monitoring; Controlling
    • G01D2204/24Identification of individual loads, e.g. by analysing current/voltage waveforms
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R22/00Arrangements for measuring time integral of electric power or current, e.g. electricity meters
    • G01R22/06Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
    • G01R22/10Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods using digital techniques

Definitions

  • the invention relates to a method for detecting in a measured signal transitions that are induced by elements of a physical system.
  • the invention relates to an automatic-setup non-intrusive appliance load monitoring method for identifying appliances energy consumption, said method using a step of detecting transitions according to the first aspect of the invention.
  • the invention relates to a detector for detecting transitions in a measured signal.
  • the invention relates to a device for automatic-setup non-intrusive appliance load monitoring.
  • Another drawback of this method is that at least one transition is always detected in the beginning of a signal provided n int ⁇ 0, even if no real transition occurs.
  • This method indeed selects values with the N largest LOF, and it is always possible to define such N values.
  • the residual signal has a high amplitude when a transition occurs and a low amplitude in the other cases. Differences including such residual signals are then compared to a threshold H whose expression is given in equation (20). Such a threshold H is not determined a priori. However, such an expression for the threshold H can lead to not detecting some transitions.
  • the expression of this threshold H does indeed include a variance calculated from a sequence of variables Y n that constitute the signal whose transitions are to be detected (Y n is indeed a sequence of variables the mean of which changes from m 0 for n ⁇ ⁇ to m for ⁇ , where ⁇ is the time of transition to be estimated).
  • the inventors propose such an automatic threshold method because a number of transitions is expected to be constant over a range of threshold values. As a consequence, when a number of transitions does not depend on a threshold value, it might be concluded that noise is not responsible for transitions and a threshold value is then considered as optimal. With the method of the invention, one does not need to choose a predetermined threshold value that is not easy to find. Hence, the method of the invention is more simple with respect to methods where a threshold value has to be fixed a priori.
  • the residual signal is a transition likelihood. More preferably, this transition likelihood is given by a ratio between a likelihood of no change and a likelihood of change.
  • the residual signal for a time index k, x k is preferably given by: where M is a parameter and i k a value of current at time index k.
  • step of detecting transitions uses a method according to the first aspect of the invention.
  • - n k represents a background noise determined by values of said residual signal that are temporal neighbours of said residual signal corresponding to a time index k, x k ;
  • the invention relates to a device for automatic-setup non-intrusive appliance load monitoring for identifying appliances energy consumption and comprising:

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Complex Calculations (AREA)

Abstract

Selon un premier aspect, l'invention concerne un procédé de détection de transitions (51) comprenant les étapes consistant à : générer un signal résiduel α à partir d'un signal mesuré, et donner des règles indiquant qu'une transition se produit lorsque le signal résiduel α est plus élevé qu'une valeur seuil λ. Le signal résiduel α possède une amplitude élevée lorsque des transitions se produisent, et une amplitude faible dans les autres cas. Le procédé (51) est caractérisé en ce que la valeur seuil λ est automatiquement définie à partir de valeurs locales du signal résiduel.
EP12724313.7A 2011-05-23 2012-05-22 Procédé de détection de transition pour contrôle de charge d'appareil électrique à réglage automatique et non intrusif Withdrawn EP2715376A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP12724313.7A EP2715376A1 (fr) 2011-05-23 2012-05-22 Procédé de détection de transition pour contrôle de charge d'appareil électrique à réglage automatique et non intrusif

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP11167074 2011-05-23
EP12724313.7A EP2715376A1 (fr) 2011-05-23 2012-05-22 Procédé de détection de transition pour contrôle de charge d'appareil électrique à réglage automatique et non intrusif
PCT/EP2012/059502 WO2012160062A1 (fr) 2011-05-23 2012-05-22 Procédé de détection de transition pour contrôle de charge d'appareil électrique à réglage automatique et non intrusif

Publications (1)

Publication Number Publication Date
EP2715376A1 true EP2715376A1 (fr) 2014-04-09

Family

ID=46178532

Family Applications (1)

Application Number Title Priority Date Filing Date
EP12724313.7A Withdrawn EP2715376A1 (fr) 2011-05-23 2012-05-22 Procédé de détection de transition pour contrôle de charge d'appareil électrique à réglage automatique et non intrusif

Country Status (2)

Country Link
EP (1) EP2715376A1 (fr)
WO (1) WO2012160062A1 (fr)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
AU2012211955A1 (en) 2011-02-04 2013-09-12 Bidgely Inc. Systems and methods for improving the accuracy of appliance level disaggregation in non-intrusive appliance load monitoring techniques
US10114347B2 (en) 2012-04-25 2018-10-30 Bidgely Inc. Energy disaggregation techniques for low resolution whole-house energy consumption data
WO2015059272A1 (fr) 2013-10-24 2015-04-30 Universite Libre De Bruxelles Procédé et dispositif de contrôle amélioré non intrusif de charge d'appareil
CN106170708B (zh) * 2014-03-13 2017-09-22 斋藤参郎 个体电设备工作状态估计装置及其方法
FR3022658B1 (fr) * 2014-06-20 2016-07-29 Wattgo Procede de creation d'une structure de donnees representative d'une consommation de fluide d'au moins un equipement, dispositif et programme correspondant.
WO2016079229A1 (fr) * 2014-11-21 2016-05-26 Universite Libre De Bruxelles Procédé et dispositif de surveillance non intrusive améliorée de charge d'appareils
WO2016141978A1 (fr) 2015-03-11 2016-09-15 You Know Watt Procédé et dispositif de surveillance non intrusive améliorée de charge d'appareils électriques
CN104749214B (zh) * 2015-04-03 2017-06-06 哈尔滨工业大学 一种基于瞬态平面热源法测量液体导热系数的恒温热浴装置
WO2016177857A1 (fr) * 2015-05-06 2016-11-10 Torro Ventures Limited Analyse d'un circuit de puissance
GB2538087B (en) * 2015-05-06 2019-03-06 Torro Ventures Ltd Analysing a power circuit
US11726117B2 (en) 2020-04-30 2023-08-15 Florida Power & Light Company High frequency data transceiver and surge protection retrofit for a smart meter

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102007031342A1 (de) * 2007-07-05 2009-01-15 Siemens Ag Verfahren zum Gewinnen einer Information über die Verlaufsform eines Fehlerstroms, insbesondere zum Zwecke des an selbige angepassten Verhinderns eines dauerhaften Fehlerstroms in einem Fehlerstromschutzschalter
US8094034B2 (en) * 2007-09-18 2012-01-10 Georgia Tech Research Corporation Detecting actuation of electrical devices using electrical noise over a power line
GB0803140D0 (en) 2008-02-21 2008-03-26 Sentec Ltd Technique for inference of multiple appliances' power use from single point measurements
GB2465367B (en) * 2008-11-13 2011-01-05 Isis Innovation Variable power load detector apparatus and method
GB2477366B (en) * 2009-11-12 2013-06-19 Onzo Ltd Data storage and transfer

Non-Patent Citations (1)

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Title
See references of WO2012160062A1 *

Also Published As

Publication number Publication date
WO2012160062A1 (fr) 2012-11-29

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