Evaluation of a new Power Quality index, based in Higher Order Statistics

The present works deals with the presentation and test of a novel Power Quality index, based in Higher-Order cumulants. Synthetics are used for test different start point, amplitude and length for the most common Power Grid disturbances (DIP, Oscillatory Transient, Harmonic Temporal Distortion and Impulsive Transient), obtaining a high accuracy (over 99% in some disturbances). Then real signals are used for confirm synthetics results. Finally, the Power Quality index presented, is confirmed with real signals as a good tool for detect imperfections in the power waveform.

[1]  Keenan Valentine,et al.  Relationship between wind power, electric vehicles and charger infrastructure in a two-settlement energy market , 2016 .

[2]  José María Sierra-Fernández,et al.  A novel FPGA-based system for real-time calculation of the Spectral Kurtosis: A prospective application to harmonic detection , 2016 .

[3]  Juan José González de la Rosa,et al.  HOS network-based classification of power quality events via regression algorithms , 2015, EURASIP Journal on Advances in Signal Processing.

[4]  Jose Maria Sierra-Fernandez,et al.  Smart grids power quality analysis based in classification techniques and higher-order statistics: Proposal for photovoltaic systems , 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

[5]  Carlos A. Duque,et al.  HOS-based method for classification of power quality disturbances , 2009 .

[6]  Juan José González de la Rosa,et al.  A novel virtual instrument for power quality surveillance based in higher-order statistics and case-based reasoning , 2012 .

[7]  Juan José González de la Rosa,et al.  Characterization of electrical sags and swells using higher-order statistical estimators , 2011 .

[8]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[9]  Mohammad Moradzadeh,et al.  A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management , 2016 .

[10]  L. Lynne Kiesling The Connected Home and an Electricity-Market Platform for the Twenty-First Century , 2016 .

[11]  Frede Blaabjerg,et al.  LLCL-Filtered Grid Converter With Improved Stability and Robustness , 2016, IEEE Transactions on Power Electronics.

[12]  Jovitha Jerome,et al.  A new Cumulative Gravitational Search algorithm for optimal placement of FACT device to minimize system loss in the deregulated electrical power environment , 2017 .

[13]  Gianfranco Miele,et al.  Harmonic and interharmonic measurements through a compressed sampling approach , 2016 .

[14]  A. Nandi Blind estimation using higher-order statistics , 1999 .

[15]  Joao P. S. Catalao,et al.  Smart electric vehicle charging scheduler for overloading prevention of an industry client power distribution transformer , 2016 .

[16]  Jerry M. Mendel,et al.  Tutorial on higher-order statistics (spectra) in signal processing and system theory: theoretical results and some applications , 1991, Proc. IEEE.