Performance Evaluation of the ZIP Model-Phaselet Frame Approach for Identifying Appliances in Residential Loads

This paper presents the analysis and development of a new approach to monitor and update the ON-OFF status of appliances in residential loads (RSLs). The proposed approach is structured to employ power meter readings P to determine the values for the magnitude |S̅| and phase θ of the apparent power....

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Published inIEEE transactions on industry applications Vol. 52; no. 4; pp. 3408 - 3421
Main Authors Pijnenburg, Petrus, Saleh, S. A., McGaw, Peter
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Constants
Construction
Demand
Digital filters
Frames
Home appliances
Household appliances
Iterative methods
Load management
Load modeling
load monitoring
Mathematical model
Monitoring
Monitors
Newton iterations
phaselet analysis
Power demand
Reactive power
residential loads (RSLs)
smart grid functions
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Abstract This paper presents the analysis and development of a new approach to monitor and update the ON-OFF status of appliances in residential loads (RSLs). The proposed approach is structured to employ power meter readings P to determine the values for the magnitude |S̅| and phase θ of the apparent power. The value of |S̅|, associated with a value of P, is determined using Newton iterations, where a value of θ is calculated using six phaselet frames during each iteration. Once the iterations converge, the values of P and θ are used to construct the ZIP model (polynomial model) for the RSL, from which P is provided. The constructed ZIP model provides the values for the constants K pf and K qf that relate the change in frequency to the active and reactive power demands of the modeled load. The obtained values of K pf and K qf are compared to standardized values that are defined for each appliance in an RSL. The ZIP model-phaselet frame approach is implemented as an algorithm for monitoring the ON-OFF status of appliances in RSLs. The algorithm for the proposed approach is developed without a need to collect data for training. Test results show simple implementation, good accuracy, and insensitivity to variations in energy demands.
AbstractList This paper presents the analysis and development of a new approach to monitor and update the on-off status of appliances in residential loads (RSLs). The proposed approach is structured to employ power meter readings $P$ to determine the values for the magnitude $\vert \bar{S}\vert $ and phase $\theta$ of the apparent power. The value of $\vert \bar{S}\vert $, associated with a value of $P$, is determined using Newton iterations, where a value of $\theta$ is calculated using six phaselet frames during each iteration. Once the iterations converge, the values of $P$ and $\theta$ are used to construct the ZIP model (polynomial model) for the RSL, from which $P$ is provided. The constructed ZIP model provides the values for the constants $K_{pf}$ and $K_{qf}$ that relate the change in frequency to the active and reactive power demands of the modeled load. The obtained values of $K_{pf}$ and $K_{qf}$ are compared to standardized values that are defined for each appliance in an RSL. The ZIP model-phaselet frame approach is implemented as an algorithm for monitoring the on-off status of appliances in RSLs. The algorithm for the proposed approach is developed without a need to collect data for training. Test results show simple implementation, good accuracy, and insensitivity to variations in energy demands.
This paper presents the analysis and development of a new approach to monitor and update the on-off status of appliances in residential loads (RSLs). The proposed approach is structured to employ power meter readings [Formula Omitted] to determine the values for the magnitude [Formula Omitted] and phase [Formula Omitted] of the apparent power. The value of [Formula Omitted], associated with a value of [Formula Omitted], is determined using Newton iterations, where a value of [Formula Omitted] is calculated using six phaselet frames during each iteration. Once the iterations converge, the values of [Formula Omitted] and [Formula Omitted] are used to construct the ZIP model (polynomial model) for the RSL, from which [Formula Omitted] is provided. The constructed ZIP model provides the values for the constants [Formula Omitted] and [Formula Omitted] that relate the change in frequency to the active and reactive power demands of the modeled load. The obtained values of [Formula Omitted] and [Formula Omitted] are compared to standardized values that are defined for each appliance in an RSL. The ZIP model-phaselet frame approach is implemented as an algorithm for monitoring the on-off status of appliances in RSLs. The algorithm for the proposed approach is developed without a need to collect data for training. Test results show simple implementation, good accuracy, and insensitivity to variations in energy demands.
This paper presents the analysis and development of a new approach to monitor and update the ON-OFF status of appliances in residential loads (RSLs). The proposed approach is structured to employ power meter readings P to determine the values for the magnitude |S̅| and phase θ of the apparent power. The value of |S̅|, associated with a value of P, is determined using Newton iterations, where a value of θ is calculated using six phaselet frames during each iteration. Once the iterations converge, the values of P and θ are used to construct the ZIP model (polynomial model) for the RSL, from which P is provided. The constructed ZIP model provides the values for the constants K pf and K qf that relate the change in frequency to the active and reactive power demands of the modeled load. The obtained values of K pf and K qf are compared to standardized values that are defined for each appliance in an RSL. The ZIP model-phaselet frame approach is implemented as an algorithm for monitoring the ON-OFF status of appliances in RSLs. The algorithm for the proposed approach is developed without a need to collect data for training. Test results show simple implementation, good accuracy, and insensitivity to variations in energy demands.
Author Pijnenburg, Petrus
McGaw, Peter
Saleh, S. A.
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Cites_doi 10.1109/TPWRS.2014.2311827
10.1109/TSG.2013.2256803
10.1109/TPWRS.2012.2208232
10.1109/TSG.2012.2185522
10.1109/TPWRS.2013.2291553
10.1109/TPWRS.2013.2289972
10.1109/TIA.2013.2283318
10.1109/TPWRS.2004.825913
10.1109/TIA.2011.2180497
10.1109/TPWRS.2013.2281455
10.1109/TPWRS.2013.2296696
10.1109/TPWRS.2014.2301949
10.1109/TSG.2014.2314738
10.1109/TSP.2005.845471
10.1109/TSP.2003.812833
10.1109/TIA.2013.2258875
10.1109/TPWRS.2013.2269803
10.1109/MSP.2007.4286567
10.1109/78.995070
10.1109/TPWRS.2010.2062542
10.1109/TSP.2008.925970
10.1109/TPWRS.2010.2047659
10.1109/TSG.2014.2364233
10.1109/TPWRS.2002.800901
10.1109/MSP.2007.904809
10.1109/TPWRS.2010.2090909
10.1109/TPWRS.2012.2231969
10.1109/TSG.2014.2318375
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References ref13
ref12
ref15
ref14
ref30
ref33
ref11
ref10
ref2
ref1
ref17
ref16
mei (ref21) 0
ref19
ref18
agah (ref4) 2011; 26
ref23
ref26
ref25
ref20
kundur (ref24) 1994
ref22
(ref31) 2011
ref28
ref27
ref29
ref8
ref7
ref9
ref3
ref6
ref5
(ref32) 2012
References_xml – ident: ref3
  doi: 10.1109/TPWRS.2014.2311827
– ident: ref17
  doi: 10.1109/TSG.2013.2256803
– ident: ref19
  doi: 10.1109/TPWRS.2012.2208232
– ident: ref14
  doi: 10.1109/TSG.2012.2185522
– ident: ref15
  doi: 10.1109/TPWRS.2013.2291553
– ident: ref22
  doi: 10.1109/TPWRS.2013.2289972
– ident: ref10
  doi: 10.1109/TIA.2013.2283318
– ident: ref33
  doi: 10.1109/TPWRS.2004.825913
– ident: ref12
  doi: 10.1109/TIA.2011.2180497
– ident: ref6
  doi: 10.1109/TPWRS.2013.2281455
– ident: ref5
  doi: 10.1109/TPWRS.2013.2296696
– start-page: 1
  year: 0
  ident: ref21
  article-title: Design considerations for non-intrusive load monitoring hardware platforms in smart building
  publication-title: 48th IEEE-IAS Annual Meeting
  contributor:
    fullname: mei
– ident: ref13
  doi: 10.1109/TPWRS.2014.2301949
– ident: ref9
  doi: 10.1109/TSG.2014.2314738
– ident: ref27
  doi: 10.1109/TSP.2005.845471
– ident: ref28
  doi: 10.1109/TSP.2003.812833
– ident: ref18
  doi: 10.1109/TIA.2013.2258875
– ident: ref20
  doi: 10.1109/TPWRS.2013.2269803
– year: 1994
  ident: ref24
  publication-title: Power System Stability and Control
  contributor:
    fullname: kundur
– ident: ref25
  doi: 10.1109/MSP.2007.4286567
– ident: ref11
  doi: 10.1109/TIA.2013.2258875
– ident: ref30
  doi: 10.1109/78.995070
– volume: 26
  start-page: 811
  year: 2011
  ident: ref4
  article-title: Effect of load models on probabilistic characterization of aggregated load patterns
  publication-title: IEEE Trans Power Syst
  doi: 10.1109/TPWRS.2010.2062542
  contributor:
    fullname: agah
– ident: ref29
  doi: 10.1109/TSP.2008.925970
– ident: ref7
  doi: 10.1109/TPWRS.2010.2047659
– ident: ref8
  doi: 10.1109/TSG.2014.2364233
– ident: ref1
  doi: 10.1109/TPWRS.2002.800901
– ident: ref26
  doi: 10.1109/MSP.2007.904809
– ident: ref2
  doi: 10.1109/TPWRS.2010.2090909
– ident: ref23
  doi: 10.1109/TPWRS.2012.2231969
– ident: ref16
  doi: 10.1109/TSG.2014.2318375
– year: 2012
  ident: ref32
  publication-title: eMonitor Hardware Guide Rev 1 0
– year: 2011
  ident: ref31
  publication-title: Wavelet Toolbox&#x2014 User s Guide
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Snippet This paper presents the analysis and development of a new approach to monitor and update the ON-OFF status of appliances in residential loads (RSLs). The...
This paper presents the analysis and development of a new approach to monitor and update the on-off status of appliances in residential loads (RSLs). The...
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SubjectTerms Algorithms
Constants
Construction
Demand
Digital filters
Frames
Home appliances
Household appliances
Iterative methods
Load management
Load modeling
load monitoring
Mathematical model
Monitoring
Monitors
Newton iterations
phaselet analysis
Power demand
Reactive power
residential loads (RSLs)
smart grid functions
Title Performance Evaluation of the ZIP Model-Phaselet Frame Approach for Identifying Appliances in Residential Loads
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