Bollen / Gu | Signal Processing of Power Quality Disturbances | E-Book | sack.de
E-Book

E-Book, Englisch, 888 Seiten, E-Book

Reihe: IEEE Series on Power Engineering

Bollen / Gu Signal Processing of Power Quality Disturbances


1. Auflage 2007
ISBN: 978-0-471-93130-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 888 Seiten, E-Book

Reihe: IEEE Series on Power Engineering

ISBN: 978-0-471-93130-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



Bridging the gap between power quality and signal processing
This innovative new text brings together two leading experts, onefrom signal processing and the other from power quality. Combiningtheir fields of expertise, they set forth and investigate varioustypes of power quality disturbances, how measurements of thesedisturbances are processed and interpreted, and, finally, the useand interpretation of power quality standards documents.
As a practical aid to readers, the authors make a clear distinctionbetween two types of power quality disturbances:
* Variations: disturbances that are continuously present
* Events: disturbances that occur occasionally
A complete analysis and full set of tools are provided for eachtype of disturbance:
* Detailed examination of the origin of the disturbance
* Signal processing measurement techniques, including advancedtechniques and those techniques set forth in standardsdocuments
* Interpretation and analysis of measurement data
* Methods for further processing the features extracted from thesignal processing into site and system indices
The depth of coverage is outstanding: the authors present andanalyze material that is not covered in the standards nor found inthe scientific literature.
This text is intended for two groups of readers: students andresearchers in power engineering who need to use signal processingtechniques for power system applications, and students andresearchers in signal processing who need to perform power systemdisturbance analyses and diagnostics. It is also highly recommendedfor any engineer or utility professional involved in power qualitymonitoring.

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PREFACE.
ACKNOWLEDGMENTS.
1 INTRODUCTION.
1.1 Modern View of Power Systems.
1.2 Power Quality.
1.3 Signal Processing and Power Quality.
1.4 Electromagnetic Compatibility Standards.
1.5 Overview of Power Quality Standards.
1.6 Compatibility Between Equipment and Supply.
1.7 Distributed Generation.
1.8 Conclusions.
1.9 About This Book.
2 ORIGIN OF POWER QUALITY VARIATIONS.
2.1 Voltage Frequency Variations.
2.2 Voltage Magnitude Variations.
2.3 Voltage Unbalance.
2.4 Voltage Fluctuations and Light Flicker.
2.5 Waveform Distortion.
2.6 Summary and Conclusions.
3 PROCESSING OF STATIONARY SIGNALS.
3.1 Overview of Methods.
3.2 Parameters That Characterize Variations.
3.3 Power Quality Indices.
3.4 Frequency-Domain Analysis and Signal Transformation.
3.5 Estimation of Harmonics and Interharmonics.
3.6 Estimation of Broadband Spectrum.
3.7 Summary and Conclusions.
3.8 Further Reading.
4 PROCESSING OF NONSTATIONARY SIGNALS.
4.1 Overview of Some Nonstationary Power Quality DataAnalysis Methods.
4.2 Discrete STFT for Analyzing Time-Evolving SignalComponents.
4.3 Discrete Wavelet Transforms for Time-Scale Analysis ofDisturbances.
4.4 Block-Based Modeling.
4.5 Models Directly Applicable to Nonstationary Data.
4.6 Summary and Conclusion.
4.7 Further Reading.
5 STATISTICS OF VARIATIONS.
5.1 From Features to System Indices.
5.2 Time Aggregation.
5.3 Characteristics Versus Time.
5.4 Site Indices.
5.5 System Indices.
5.6 Power Quality Objectives.
5.7 Summary and Conclusions.
6 ORIGIN OF POWER QUALITY EVENTS.
6.1 Interruptions.
6.2 Voltage Dips.
6.3 Transients.
6.4 Summary and Conclusions.
7 TRIGGERING AND SEGMENTATION.
7.1 Overview of Existing Methods.
7.2 Basic Concepts of Triggering and Segmentation.
7.3 Triggering Methods.
7.4 Segmentation.
7.5 Summary and Conclusions.
8 CHARACTERIZATION OF POWER QUALITY EVENTS.
8.1 Voltage Magnitude Versus Time.
8.2 Phase Angle Versus Time.
8.3 Three-Phase Characteristics Versus Time.
8.4 Distortion During Event.
8.5 Single-Event Indices: Interruptions.
8.6 Single-Event Indices: Voltage Dips.
8.7 Single-Event Indices: Voltage Swells.
8.8 Single-Event Indices Based on Three-PhaseCharacteristics.
8.9 Additional Information from Dips and Interruptions.
8.10 Transients.
8.11 Summary and Conclusions.
9 EVENT CLASSIFICATION.
9.1 Overview of Machine Data Learning Methods for EventClassification.
9.2 Typical Steps Used in Classification System.
9.3 Learning Machines Using Linear Discriminants.
9.4 Learning and Classification Using ProbabilityDistributions.
9.5 Learning and Classification Using Artificial NeuralNetworks.
9.6 Learning and Classification Using Support VectorMachines.
9.7 Rule-Based Expert Systems for Classification of Power SystemEvents.
9.8 Summary and Conclusions.
10 EVENT STATISTICS.
10.1 Interruptions.
10.2 Voltage Dips: Site Indices.
10.3 Voltage Dips: Time Aggregation.
10.4 Voltage Dips: System Indices.
10.5 Summary and Conclusions.
11 CONCLUSIONS.
11.1 Events and Variations.
11.2 Power Quality Variations.
11.3 Power Quality Events.
11.4 Itemization of Power Quality.
11.5 Signal-Processing Needs.
APPENDIX A IEC STANDARDS ON POWER QUALITY.
APPENDIX B IEEE STANDARDS ON POWER QUALITY.
BIBLIOGRAPHY.
INDEX.


Math H.J. Bollen grew up in Geulle, The Netherlands, andreceived the PhD degree in 1989. Currently, he is manager of EMCand Power Quality at STRI, Ludvika, Sweden, and a guest professorat Luleå University of Technology. Math is known for hiscontributions to power quality analysis through numerous papers,working-group activities, and an earlier textbook, UnderstandingPower Quality Problems: Voltage Sags and Interruptions, (Wiley-IEEEPress). In 2005, he became an IEEE Fellow for his contributions tomethods for reliability and power quality analysis.
Irene Y.H. Gu grew up in Shanghai, China. She moved toThe Netherlands in 1988 and received the PhD degree in 1992. Since1996 she has been with the Department of Signals and Systems,Chalmers University of Technology (Gothenburg, Sweden) and has beena professor in signal processing there since 2004. She is also aguest professor at Shanghai Jiao Tong University (China). Irene Guand Math Bollen were married in Eindhoven in 1992.



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