An alternate approach for power quality computation using sample shifting technique towards load characterization

Abstract This paper aims to estimate the pollution created by domestic electric appliances by evaluating harmonic components of electrical parameters like voltage, current, active and reactive powers and total harmonic distortions which in turn define the power quality issues. These parameters are used to create load signature pattern which is different for various appliances. Load respective signatures are analyzed for characterization to define basic electrical performances and are exploited to estimate healthiness during their running. Sample shifting technique (SST) is utilized to estimate harmonic components of the parameters. A comparatively easy to implement SST works only on the sample values and does not require any complex computation. A microcontroller based hardware prototype is developed to create signature patterns of appliances for characterization purposes utilizing SST in its firmware and its performance is evaluated with IEEE 1459-2010 dataset. These signature patterns are exploited for characterization of five different appliances.

[1]  Furong Li,et al.  Load Characterization and Low-Order Approximation for Smart Metering Data in the Spectral Domain , 2017, IEEE Transactions on Industrial Informatics.

[2]  T.M. Blooming,et al.  Harmonic convergence , 2007, IEEE Industry Applications Magazine.

[3]  Harn Wei Kua,et al.  Applicability of using time series subsequences to study office plug load appliances , 2016 .

[4]  Roberto Ottoboni,et al.  Electronic Combined Transformer for Power-Quality Measurements in High-Voltage Systems , 2011, IEEE Transactions on Instrumentation and Measurement.

[5]  Shirantha Welikala,et al.  Incorporating Appliance Usage Patterns for Non-Intrusive Load Monitoring and Load Forecasting , 2019, IEEE Transactions on Smart Grid.

[6]  S.A. Papathanassiou,et al.  Power-quality measurements in an autonomous island grid with high wind penetration , 2006, IEEE Transactions on Power Delivery.

[7]  Steven B. Leeb,et al.  Nonintrusive Load Monitoring and Diagnostics in Power Systems , 2008, IEEE Transactions on Instrumentation and Measurement.

[8]  Kuo-Lung Lian,et al.  A New Power Signature for Nonintrusive Appliance Load Monitoring , 2015, IEEE Transactions on Smart Grid.

[9]  Youda Liu,et al.  Admittance-based load signature construction for non-intrusive appliance load monitoring , 2018 .

[10]  Anish Deb,et al.  A simplified state-of-the-art sample shifting technique for microcontroller based single phase power measurement , 2014 .

[11]  C. S. Chen,et al.  Application of load survey systems to proper tariff design , 1997 .

[12]  A. Longjun Wang,et al.  Non-intrusive load monitoring algorithm based on features of V–I trajectory , 2018 .

[13]  A. J. Ustariz-Farfan,et al.  Loads characterization using the instantaneous power tensor theory , 2015 .

[14]  Anand Sunil Kulkarni,et al.  EMF Signature for Appliance Classification , 2015, IEEE Sensors Journal.

[15]  Steven R. Shaw,et al.  A Kalman-Filter Spectral Envelope Preprocessor , 2007, IEEE Transactions on Instrumentation and Measurement.

[16]  Steven B. Leeb,et al.  Power signature analysis , 2003 .