Properties of Mathematical Morphology based filter for online filtering of power system signals

Mathematical Morphology (MM) has been discussed in recent literature for its possible applications in power systems. However, the properties of MM as an online filtering tool in power systems have not been adequately analyzed and discussed. This paper reports further contributions to our previous efforts in this direction. The paper points out a defect of a basic MM filter and suggests a method to correct the same. Simulation results are presented for a fault on a long transmission line simulated on PSCAD/EMTDC®. Results are analyzed and conclusions are drawn based on the analysis.

[1]  Xu Yan,et al.  A Novel Adaptive Algorithm to Identify Inrush Using Mathematical Morphology , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[2]  A. Cruz Serra,et al.  PQ Monitoring System for Real-Time Detection and Classification of Disturbances in a Single-Phase Power System , 2008, IEEE Transactions on Instrumentation and Measurement.

[3]  Mingyu Yang,et al.  Research on an Ultra-High-Speed Protection Based on Multiresolution Morphological Gradient , 2006, 2006 International Conference on Power System Technology.

[4]  Liu Pei,et al.  Application of Adaptive Generalized Morphological Filter in Disturbance Identification for Power System Signatures , 2006, 2006 International Conference on Power System Technology.

[5]  Heng Yin,et al.  A multi-resolution Morphology Gradient based non-communication protection scheme for transmission lines , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[6]  Petros Maragos,et al.  Morphological filters-Part II: Their relations to median, order-statistic, and stack filters , 1987, IEEE Trans. Acoust. Speech Signal Process..

[7]  Xu Yan,et al.  Single-ended transient positional protection of transmission lines using mathematical morphology , 2005, 2005 International Power Engineering Conference.

[8]  Zhiqian Bo,et al.  A novel directional protective relay using mathematic morphology , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[9]  Paul Wintz,et al.  Digital image processing (2nd ed.) , 1987 .

[10]  Pei Liu,et al.  A series multiresolution morphological gradient-based criterion to identify CT saturation , 2006, IEEE Transactions on Power Delivery.

[11]  Zhiqian Bo,et al.  A novel adaptive single-phase reclosure scheme using dual-window transient energy ratio and mathematical morphology , 2006, IEEE Transactions on Power Delivery.

[12]  Q. H. Wu,et al.  Ultra-High-Speed Directional Protection of Transmission Lines Using Mathematical Morphology , 2002, IEEE Power Engineering Review.

[13]  Sukumar M. Brahma,et al.  Overview of mathematical morphology in power systems — A tutorial approach , 2009, 2009 IEEE Power & Energy Society General Meeting.

[14]  Xu Yan,et al.  A novel adaptive scheme of discrimination between internal faults and inrush currents of transformer using mathematical morphology , 2006, 2006 IEEE Power Engineering Society General Meeting.

[15]  Pei Liu,et al.  Mathematical morphology based phase selection scheme in digital relaying , 2005 .

[16]  Bin Wang,et al.  A Dual-Window Transient Energy Ratio-Based Adaptive Single-Phase Reclosure Criterion for EHV Transmission Line , 2007, IEEE Transactions on Power Delivery.

[17]  Yan Luo,et al.  Power Quality Disturbance Detection Based on Mathematical Morphology and Fractal Technique , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[18]  Jeremy S. Smith,et al.  Morphological Lifting Scheme for Current Transformer Saturation Detection and Compensation , 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

[19]  Q.H. Wu,et al.  Morphological transform for detection of power quality disturbances , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[20]  Xiangning Lin,et al.  Applications of multi-resolution morphological analysis in ultra high speed protection of transmission line , 2005, IEEE Power Engineering Society General Meeting, 2005.

[21]  G. Matheron Random Sets and Integral Geometry , 1976 .

[22]  D. R. Turner,et al.  Improving the accuracy of single-ended transient fault locators using mathematical morphology , 2002, Proceedings. International Conference on Power System Technology.

[23]  Petros Maragos,et al.  Morphological filters-Part I: Their set-theoretic analysis and relations to linear shift-invariant filters , 1987, IEEE Trans. Acoust. Speech Signal Process..

[24]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[25]  Ouyang Sen,et al.  Application of Improved Mathematical Morphology Method in the Power Quality Monitoring , 2006, 2006 International Conference on Power System Technology.

[26]  W.H. Tang,et al.  A phase selector based on mathematical morphology for double circuit transmission lines , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[27]  Wang Zengping,et al.  A Transmission Line Unit Protection Technique Based Combination Modulus by Using Mathematical Morphology , 2006, 2006 International Conference on Power System Technology.

[28]  Peiming Zhang,et al.  Detection and Protection of Short Circuit Fault Based on Morphology-wavelet , 2005, 2005 IEEE/PES Transmission & Distribution Conference & Exposition: Asia and Pacific.

[29]  Pei Liu,et al.  Applications of multiresolution morphological analysis in ultra high speed protection of transmission line , 2006 .

[30]  Q.H. Wu,et al.  A Morphological Filter For Estimation of Power System Harmonics , 2006, 2006 International Conference on Power System Technology.

[31]  Z.Q. Bo,et al.  A novel mathematical morphology based anti-CT saturation criterion for generator differential protection , 2004, 39th International Universities Power Engineering Conference, 2004. UPEC 2004..