Roscoe, Andrew J. and Blair, Steven M. (2016) Choice and properties of adaptive and tunable digital boxcar (moving average) filters for power systems and other signal processing applications. In: IEEE Applied Measurements for Power Systems (AMPS 2016), 2016-09-28 - 2016-09-30, E.On Energy Research Center, RWTH Aachen University.
Roscoe_Blair_AMPS2016_Choice_and_properties_of_adaptive_and_tunable_digital_boxcar_filters.pdf - Accepted Author Manuscript
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The humble boxcar (or moving average) filter has many uses, perhaps the most well-known being the Dirichlet kernel inside a short-time discrete Fourier transform. A particularly useful feature of the boxcar filter is the ease of placement of (and tuning of) regular filter zeros, simply by defining (and varying) the time length of the boxcar window. This is of particular use within power system measurements to eliminate harmonics, inter-harmonics and image components from Fourier, Park and Clarke transforms, and other measurements related to power flow, power quality, protection, and converter control. However, implementation of the filter in real-time requires care, to minimise the execution time, provide the best frequency-domain response, know (exactly) the group delay, and avoid cumulative numerical precision errors over long periods. This paper reviews the basic properties of the boxcar filter, and explores different digital implementations, which have subtle differences in performance and computational intensity. It is shown that generally, an algorithm using trapezoidal integration and interpolation has the most desirable characteristics.
|Item type:||Conference or Workshop Item (Paper)|
|Notes:||© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.|
|Keywords:||boxcar filters, moving average, power system measurements, transforms, execution time, power quality, converter control, frequency-domain response, digital implementations, computational intensity, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering|
|Depositing user:||Pure Administrator|
|Date Deposited:||06 Sep 2016 11:36|
|Last modified:||01 Apr 2017 12:04|