Enhancement of the current quality using efficient extraction and mitigation processes

This paper introduces an innovative compensation strategy to extract and mitigate different current disturbances such as the current harmonics, cyclic current fluctuation and random current fluctuation. The contribution in this paper is that it does not need any mathematical model to represent the current disturbances and consequently extract these disturbances like the other common and utilized techniques. The proposed technique is simple for formulation and practical for implementation compared to the state-estimation techniques used for the same applications. The proposed strategy depends on recursive formulation of the Wiener filter. The presented ideas in this paper are proved by digital simulation results using MATLAB/SIMULINK on the aforementioned current problems in the distribution systems.

[1]  Bernard Widrow,et al.  Adaptive Signal Processing , 1985 .

[2]  Jovitha Jerome,et al.  Pattern recognition of power signal disturbances using S Transform and TT Transform , 2010 .

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

[4]  G.W. Chang,et al.  Extended Real Model of Kalman Filter for Time-Varying Harmonics Estimation , 2010, IEEE Transactions on Power Delivery.

[5]  Poh Chiang Loh,et al.  High-performance harmonic extraction algorithm for a 25 kV traction power quality conditioner , 2004 .

[6]  Bhim Singh,et al.  Hybrid filters for power quality improvement , 2005 .

[7]  K. R. Padiyar,et al.  Analysis and performance evaluation of a distribution STATCOM for compensating voltage fluctuations , 2001 .

[8]  W. M. Grady,et al.  Survey of active power line conditioning methodologies , 1990 .

[9]  C. Johnson,et al.  Theory and design of adaptive filters , 1987 .

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

[11]  Hugo Marques,et al.  Power grid current harmonics mitigation drawn on low voltage rated switching devices with effortless control , 2010 .

[12]  P. Mehta,et al.  Active power filters: a review , 2000 .

[13]  A. Elnady,et al.  Unified approach for mitigating voltage sag and voltage flicker using the DSTATCOM , 2005 .

[14]  Mario Oleskovicz,et al.  Power quality analysis applying a hybrid methodology with wavelet transforms and neural networks , 2009 .

[15]  Kamal Al-Haddad,et al.  A review of active filters for power quality improvement , 1999, IEEE Trans. Ind. Electron..

[16]  M. E. El-Hawary,et al.  Measurement of power systems voltage and flicker levels for power quality analysis: a static LAV state estimation based algorithm , 2000 .

[17]  Leon M. Tolbert,et al.  A multilevel converter-based universal power conditioner , 2000 .

[18]  Magdy M. A. Salama,et al.  Multi converter approach to active power filtering using current source converters , 2001 .

[19]  M. S. Sachdev,et al.  A recursive least error squares algorithm for power system relaying and measurement applications , 1991 .

[20]  Hirofumi Akagi,et al.  The unified power quality conditioner: the integration of series- and shunt-active filters , 1998 .