A wavelet based novel method for the detection of harmonic sources in power systems

Abstract Harmonic pollution is one of the most important power quality problems in power system. There is an urgent requirement for the proper identification of the location of the source of harmonic pollution in order that remedial measures can be taken for the improvement of power quality at the consumer premises. This paper presents a new method based on discrete wavelet transform for the identification of prevailing disturbing loads in power systems downstream or upstream from the metering section. It is based on the analysis of detail active power quantities which are based on IEEE Standard 1459-2000 approach. The detail active powers at the lowest level along with the details pollution factor have been used to clearly identify the location of the harmonic source. The simulation results presented here show that the proposed method can effectively indicate the presence of nonlinear load under both sinusoidal and distorted supplies and can also detect the dominant source of harmonic pollution in power system network.

[1]  W.G. Morsi,et al.  Defining power components in nonsinusoidal unbalanced polyphase systems: The issues , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[2]  A. Cataliotti,et al.  A Time-Domain Strategy for the Measurement of IEEE Standard 1459-2000 Power Quantities in Nonsinusoidal Three-Phase and Single-Phase Systems , 2008, IEEE Transactions on Power Delivery.

[3]  A. Cataliotti,et al.  A Novel Approach Based on Nonactive Power for the Identification of Disturbing Loads in Power Systems , 2007, IEEE Transactions on Power Delivery.

[4]  Amany El-Zonkoly,et al.  Applying wavelet entropy principle in fault classification , 2008 .

[5]  Salvatore Nuccio,et al.  A self-synchronizing instrument for harmonic source detection in power systems , 2005, IEEE Transactions on Instrumentation and Measurement.

[6]  Alessandro Ferrero,et al.  A distributed system for electric power quality measurement , 2002, IEEE Trans. Instrum. Meas..

[7]  A. Cataliotti,et al.  A New Measurement Method for the Detection of Harmonic Sources in Power Systems Based on the Approach of the IEEE Std. 1459–2000 , 2010, IEEE Transactions on Power Delivery.

[8]  Thanatchai Kulworawanichpong,et al.  Recognition of power quality events by using multiwavelet-based neural networks , 2008 .

[9]  K. Ramar,et al.  Accurate one-end fault location for overhead transmission lines in interconnected power systems , 2010 .

[10]  Hirofumi Akagi,et al.  A new method of harmonic power detection based on the instantaneous active power in three-phase circuits , 1995 .

[11]  Salvatore Nuccio,et al.  Comparison of Nonactive Powers for the Detection of Dominant Harmonic Sources in Power Systems , 2008, IEEE Transactions on Instrumentation and Measurement.

[12]  M. El-Hawary,et al.  A New Perspective for the IEEE Standard 1459-2000 Via Stationary Wavelet Transform in the Presence of Nonstationary Power Quality Disturbance , 2008, IEEE Transactions on Power Delivery.

[13]  Fahri Vatansever,et al.  Power parameters calculations based on wavelet packet transform , 2009 .

[14]  P. H. Swart,et al.  On techniques for localization of sources producing distortion in electric power networks , 1994 .

[15]  Haibo He,et al.  Power quality disturbances analysis based on EDMRA method , 2009 .

[16]  Kazem Mazlumi,et al.  Harmonic indices assessment by Wavelet Transform , 2011 .

[17]  Semra Ozturk,et al.  A new approach to voltage sag detection based on wavelet transform , 2010 .

[18]  Antonio Cataliotti,et al.  Disturbing Load Identification in Power Systems: A Single-Point Time-Domain Method Based on IEEE 1459-2000 , 2009, IEEE Transactions on Instrumentation and Measurement.

[19]  M. El-Hawary,et al.  Reformulating Three-Phase Power Components Definitions Contained in the IEEE Standard 1459–2000 Using Discrete Wavelet Transform , 2007, IEEE Transactions on Power Delivery.

[20]  M. Kazerani,et al.  Identification and Measurement of Harmonic Pollution for Radial and Nonradial Systems , 2009, IEEE Transactions on Power Delivery.

[21]  M.E. El-Hawary,et al.  The most suitable mother wavelet for steady-state power system distorted waveforms , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.

[22]  P. S. Bhowmik,et al.  A novel wavelet transform aided neural network based transmission line fault analysis method , 2009 .

[23]  Seyed Hossein Hosseinian,et al.  A wavelet-based method to discriminate internal faults from inrush currents using correlation coefficient , 2010 .