An Effective Filtering Algorithm to Mitigate Transient Decaying DC Offset

Similar documents
Removal of Decaying DC Component in Current Signal Using a ovel Estimation Algorithm

DECAYING DC COMPONENT EFFECT ELIMINATION ON PHASOR ESTIMATION USING AN ADAPTIVE FILTERING ALGORITHM

WHEN a fault occurs on power systems, not only are the

Understanding the Limitations of Replaying Relay-Created COMTRADE Event Files Through Microprocessor-Based Relays

Laboratory Assignment 3. Digital Music Synthesis: Beethoven s Fifth Symphony Using MATLAB

Spectrum Analyser Basics

Upgrading E-learning of basic measurement algorithms based on DSP and MATLAB Web Server. Milos Sedlacek 1, Ondrej Tomiska 2

MIE 402: WORKSHOP ON DATA ACQUISITION AND SIGNAL PROCESSING Spring 2003

Robert Alexandru Dobre, Cristian Negrescu

Simple Harmonic Motion: What is a Sound Spectrum?

DATA COMPRESSION USING THE FFT

6.UAP Project. FunPlayer: A Real-Time Speed-Adjusting Music Accompaniment System. Daryl Neubieser. May 12, 2016

PHYSICS OF MUSIC. 1.) Charles Taylor, Exploring Music (Music Library ML3805 T )

Experiment 13 Sampling and reconstruction

Extracting vital signs with smartphone. camera

Swept-tuned spectrum analyzer. Gianfranco Miele, Ph.D

Monitoring Current, Voltage and Power in Photovoltaic Systems

Supervised Learning in Genre Classification

ADSR AMP. ENVELOPE. Moog Music s Guide To Analog Synthesized Percussion. The First Step COMMON VOLUME ENVELOPES

technical note flicker measurement display & lighting measurement

Research Article. ZOOM FFT technology based on analytic signal and band-pass filter and simulation with LabVIEW

Analog Performance-based Self-Test Approaches for Mixed-Signal Circuits

Supplemental Material for Gamma-band Synchronization in the Macaque Hippocampus and Memory Formation

NanoGiant Oscilloscope/Function-Generator Program. Getting Started

Music Source Separation

IEC PROCESS BUS IMPLEMENTATION ON IEDs

System Identification

BE1-81O/U Frequency Protection. Washington State University Hands-On Relay School.

Calibrate, Characterize and Emulate Systems Using RFXpress in AWG Series

Investigation of Digital Signal Processing of High-speed DACs Signals for Settling Time Testing

Violin Timbre Space Features

Automatic Rhythmic Notation from Single Voice Audio Sources

hit), and assume that longer incidental sounds (forest noise, water, wind noise) resemble a Gaussian noise distribution.

Linear Time Invariant (LTI) Systems

Detection and demodulation of non-cooperative burst signal Feng Yue 1, Wu Guangzhi 1, Tao Min 1

Semi-automated extraction of expressive performance information from acoustic recordings of piano music. Andrew Earis

Module 8 : Numerical Relaying I : Fundamentals

Speech and Speaker Recognition for the Command of an Industrial Robot

CM3106 Solutions. Do not turn this page over until instructed to do so by the Senior Invigilator.

DIGITAL COMMUNICATION

Course Web site:

What s New in Raven May 2006 This document briefly summarizes the new features that have been added to Raven since the release of Raven

Working with a Tektronix TDS 3012B Oscilloscope EE 310: ELECTRONIC CIRCUIT DESIGN I

LabView Exercises: Part II

Machinery Diagnostic Plots Part 2 ORBIT Back-to-Basics: What does the data really tell us?

Adaptive Resampling - Transforming From the Time to the Angle Domain

Removing the Pattern Noise from all STIS Side-2 CCD data

Virtual Vibration Analyzer

Motion Video Compression

Machinery Diagnostic Plots Part 1 ORBIT Back-to-Basics: What does the data really tell us?

Reconstruction of Ca 2+ dynamics from low frame rate Ca 2+ imaging data CS229 final project. Submitted by: Limor Bursztyn

Digital Signal. Continuous. Continuous. amplitude. amplitude. Discrete-time Signal. Analog Signal. Discrete. Continuous. time. time.

BTV Tuesday 21 November 2006

2. AN INTROSPECTION OF THE MORPHING PROCESS

ZONE PLATE SIGNALS 525 Lines Standard M/NTSC

Automatic music transcription

Audio Processing Exercise

Simulation of DFIG and FSIG wind farms in. MATLAB SimPowerSystems. Industrial Electrical Engineering and Automation.

Query By Humming: Finding Songs in a Polyphonic Database

Audio-Based Video Editing with Two-Channel Microphone

EMS DATA ACQUISITION AND MANAGEMENT (LVDAM-EMS) MODEL 9062-C

MCP Signal Extraction and Timing Studies. Kurtis Nishimura University of Hawaii LAPPD Collaboration Meeting June 11, 2010

Study of White Gaussian Noise with Varying Signal to Noise Ratio in Speech Signal using Wavelet

Experiment 9 Analog/Digital Conversion

Lab experience 1: Introduction to LabView

POST-PROCESSING FIDDLE : A REAL-TIME MULTI-PITCH TRACKING TECHNIQUE USING HARMONIC PARTIAL SUBTRACTION FOR USE WITHIN LIVE PERFORMANCE SYSTEMS

Recommended Operations

The Effect of Time-Domain Interpolation on Response Spectral Calculations. David M. Boore

University of Bristol - Explore Bristol Research. Peer reviewed version. Link to published version (if available): /ISCAS.2005.

Design and analysis of non-uniform rate digital controllers

Getting Started with the LabVIEW Sound and Vibration Toolkit

Digital Lock-In Amplifiers SR850 DSP lock-in amplifier with graphical display

Electrical and Electronic Laboratory Faculty of Engineering Chulalongkorn University. Cathode-Ray Oscilloscope (CRO)

SYNTHESIS FROM MUSICAL INSTRUMENT CHARACTER MAPS

AGH University of Science and Technology Measurement & Instrumentation Department Kraków, Poland

Digitization: Sampling & Quantization

CZT vs FFT: Flexibility vs Speed. Abstract

Why Engineers Ignore Cable Loss

Work no. 2. Doru TURCAN - dr.ing. SKF Romania Gabriel KRAFT - dr.ing. SKF Romania

10 Mb/s Single Twisted Pair Ethernet Preliminary Cable Properties Steffen Graber Pepperl+Fuchs

Digital Image and Fourier Transform

ECE 5765 Modern Communication Fall 2005, UMD Experiment 10: PRBS Messages, Eye Patterns & Noise Simulation using PRBS

PEP-I1 RF Feedback System Simulation

Topic 10. Multi-pitch Analysis

Model Identification of Displacement Controlled Linear Actuator in Hydraulic System

Tutorial 3 Normalize step-cycles, average waveform amplitude and the Layout program

Music Segmentation Using Markov Chain Methods

Signal Processing with Wavelets.

MUSIC TRANSCRIPTION USING INSTRUMENT MODEL

Agilent PN Time-Capture Capabilities of the Agilent Series Vector Signal Analyzers Product Note

Reciprocating Machine Protection

The Future of EMC Test Laboratory Capabilities. White Paper

Book: Fundamentals of Music Processing. Audio Features. Book: Fundamentals of Music Processing. Book: Fundamentals of Music Processing

MINI PC SCOPE PCSU01. User manual. test leads software download USB cable design enclosure

Experiment 2: Sampling and Quantization

KLM: TARGETX. User-Interface for Testing TARGETX Brief Testing Overview Bronson Edralin 04/06/15

MONITORING AND ANALYSIS OF VIBRATION SIGNAL BASED ON VIRTUAL INSTRUMENTATION

Bunch-by-bunch feedback and LLRF at ELSA

Two Channel PC Oscilloscopes with Arbitrary Waveform Generator OMSP-2000 Series

Research and Development Report

Transcription:

An Effective Filtering Algorithm to Mitigate Transient Decaying DC Offset By: Abouzar Rahmati Authors: Abouzar Rahmati IS-International Services LLC Reza Adhami University of Alabama in Huntsville April 17 th, 2014

Outline Background Decaying DC removal algorithms Fourier transform based methods Proposed a fast and effective approach Results 2

Background MANY protective relaying functions uses the phasors at the power system fundamental frequency. The phasors are estimated from the voltage and current sampled waveforms using digital filtering algorithms. The discrete Fourier transform (DFT)-based algorithms are the most commonly used. As a fault takes place, besides the fundamental component the fault signals may also include harmonics and a decaying DC component. Harmonics may be easily filtered out, but the decaying DC component is more difficult to deal, because it is a non-periodic signal whose frequency spectrum encompasses a wide range of frequencies. As a result, it may seriously affect the estimated phasor, causing undesirable oscillations about its actual value. 3

Decaying DC offset When a fault occurs, the current signal consists of an exponentially decaying dc offset and sinusoidal components. Since the exponentially decaying dc offset is a non-periodic signal and its frequency spectrum includes all frequencies, the dc offset heavily influences the accuracy and convergence speed of the phasor estimation. The presence of a decaying dc offset may result in a phasor estimation error. Therefore, the decaying dc component should be taken into consideration when estimating the phasor of the fundamental frequency component of the fault current signal. 4

Decaying DC removal Techniques Decaying DC component filtering from the original signal before the phasor estimation Calculating the dc component offset and then removing it from the original signal Iterative mathematical approach using sampling data from a sinusoidal input signal DFT based method LES based techniques Most of the aforementioned algorithms mainly focus on the removal of the exponentially decaying DC offset component and use about one cycle samples to estimate the dc offset parameters. 5

Fundamental and Decaying dc Components Discrete Fourier transform (DFT) is generally used to calculate the phasor of the fundamental frequency component in digital protective relays. Fundamental and Decaying dc Components: 6

DFT based amplitude estimation Amplitude estimation of fundamental frequency: 7

DFT based amplitude estimation Sin and Cos coefficients: AC component amplitude: 8

DFT based amplitude estimation Estimated amplitude of Decaying DC component: Therefore, the estimated amplitude of the original signal is: 9

DFT error and oscillations 10

Proposed DFT Based Algorithm Even and Odd samples sets AC part: 11

Proposed DFT Based Algorithm Estimated amplitude for AC part: 12

Proposed Estimated Amplitude DC part Therefore, the expression for difference between the even and odd samples in the original signal is: 13

Performance evaluation Two signals are defined to compare the effectiveness of the proposed algorithm and conventional DFT method. The EMTP software is used to generate the fault currents to evaluate the proposed algorithm. 14

Performance evaluation Defined Test Case 15

Performance evaluation 16

Convergence analysis The theoretical input amplitude is computed and compared to the amplitude generated by the proposed method. The comparison is based on the computation of the Three-Cycle Error (TCE) which is the average error in the first three cycles. 17

Convergence analysis - 18

Convergence analysis - The initial amplitude of the decaying dc component is 200% of the fundamental component. - The TCE in the proposed method is much lower than the DFT method and its overshoot percentage is equal to zero for all time constants. 19

Conclusion This paper has successfully developed a new DFT based algorithm to mitigate the decaying dc component in the phasor measurement. In general, to reduce the decaying dc component, one must estimate the decaying DC parameters. This process takes time and needs complicated calculations. However, in phasor domain, using the even and odd samples we have shown that there is no need to such estimation. The method is performed without loss of accuracy. Both theoretical and simulation results show that the convergence of the proposed algorithm to the final value is faster and has a better accuracy than the conventional DFT method. The DFT conventional algorithm reaches to the final value after 4-6 cycles. However, the proposed algorithm reaches the same value after 1-2 cycles with high accuracy and thus, the full-cycle DFT performance has greatly been improved. 20

Questions? Thank You 21