A new method for determining multiple harmonic source locations in a power distribution system

This paper presents a new technique for identifying the locations of multiple harmonic sources in a distribution system using independent component analysis and mutual information theory. Independent component analysis is applied for estimating the current profile of injected harmonic currents caused by the harmonic sources, while the mutual information theory is for estimating the location of harmonic sources. To verify the accuracy of the proposed method, numerical simulations were made in locating multiple harmonic sources in the IEEE 34 bus radial distribution system. Results showed that the proposed method can accurately estimate the locations of multiple harmonic sources without prior knowledge of the network parameters.

[1]  Y. Liu,et al.  Test systems for harmonics modeling and simulation , 1999 .

[2]  Seungjin Choi,et al.  Independent Component Analysis , 2009, Handbook of Natural Computing.

[3]  E. Oja,et al.  Independent Component Analysis , 2013 .

[4]  M. El-Hawary,et al.  Application of Fuzzy Logic for Reactive Power Compensation of Radial Distribution Feeders , 2002, IEEE Power Engineering Review.

[5]  Neville R. Watson,et al.  Identification of harmonic sources of power systems using state estimation , 1999 .

[6]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[7]  D. Niebur,et al.  Impact of Sample Size on ICA-Based Harmonic Source Estimation , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[8]  John G. Proakis,et al.  Probability, random variables and stochastic processes , 1985, IEEE Trans. Acoust. Speech Signal Process..

[9]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[10]  Jaydev Sharma,et al.  Determination of location of multiple harmonic sources in a power system , 2004 .

[11]  A. Papoulis.  MAT 501 PROBABILITY, RANDOM VARIABLES AND STOCHASTIC PROCESSES (4-0-0-4) , 2002 .

[12]  J.-H. Teng,et al.  A Network-Topology-Based Three-Phase Load Flow for Distribution System , 2000 .

[13]  Jen-Hao Teng,et al.  Backward/Forward Sweep-Based Harmonic Analysis Method for Distribution Systems , 2007, IEEE Transactions on Power Delivery.

[14]  A. Hussain,et al.  Harmonic source location at the point of common coupling based on voltage magnitude , 2004, 2004 IEEE Region 10 Conference TENCON 2004..

[15]  Wentian Li.  Mutual information functions versus correlation functions , 1990 .

[16]  H. Shareef,et al.  Novel method for determining the contribution of utility and customer harmonic distortion in distribution systems , 2010, 2010 4th International Power Engineering and Optimization Conference (PEOCO).

[17]  Azah Mohamed,et al.  An Improved Method for Determining Contribution of Utility and Customer Harmonic Distortions In A Power Distribution System , 2010 .

[18]  Gabriele D'Antona,et al.  State Estimation for the Localization of Harmonic Sources in Electric Distribution Systems , 2009, IEEE Transactions on Instrumentation and Measurement.

[19]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[20]  I. Miller.  Probability, Random Variables, and Stochastic Processes , 1966 .

[21]  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.