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Power quality measurement and analysis using higher-order statistics : understanding HOS contribution on the smart(er) grid /

"Power Quality Measurement and Analysis using Higher-Order Statistics reflects the state-of-the-art related to PQ (Power Quality) analysis solutions, particularly those related to the implementation of new quality indices in the domain of higher-order statistics (HOS). This book expertly explor...

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Bibliographic Details
Main Author: Florencias-Oliveros, Olivia (Author)
Format: eBook
Language:English
Published: West Sussex, UK : John Wiley & Sons Ltd, 2023.
Subjects:
Electric power systems > Quality control.
Order statistics.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • POWER QUALITY MEASUREMENT AND ANALYSIS USING HIGHER-ORDER STATISTICS 1
  • Understanding HOS contribution on the Smart(er) Grid 1
  • POWER QUALITY MEASUREMENT AND ANALYSIS USING HIGHER-ORDER STATISTICS 3
  • Understanding HOS contribution on the Smart(er) Grid 3
  • LOGO 3
  • Contents 11
  • Contributors 14
  • Foreword 17
  • Acronyms 21
  • Acknowledgments 24
  • Chapter 1. Power quality monitoring and higher-order statistics. State of the Art 26
  • 1.1 Introduction 27
  • 1.2 Background on power quality 27
  • 1.3 PQ Practices at the Industrial Level 33
  • 1.4 A new PQ monitoring Framework 33
  • 1.4.1 The Smart Grid 35
  • 1.4.2 The Smart Grid and the Power Quality 35
  • 1.4.3 Performance Indicators 36
  • 1.4.4 Existing measurement and instrumentation solutions 37
  • 1.4.5 New approach in Measurement and Instrumentation solutions in the SG 38
  • 1.4.6 Economic Issues for PQ 39
  • 1.4.7 Power Quality and Big Data 39
  • 1.4.8 Signal Processing for PQ 40
  • 1.4.9 HOS for PQ analysis 43
  • Chapter 2. HOS Measurements in the time domain 47
  • HOS Measurements in the time domain 48
  • 2.1 Introduction 48
  • 2.2 Background on power quality 48
  • 2.3 Traditional theories of electrical time domain 49
  • 2.4 HOS contribution in the PQ field 51
  • 2.4.1 HOS indices definitions 51
  • 2.4.2 HOS performance in signal processing 52
  • 2.4.3 HOS versus electrical time domain indices 53
  • 2.5 Regulations 55
  • 2.6 The Sliding Window Method for HOS feature extraction 56
  • 2.6.1 Amplitude Changes 57
  • 2.6.2 Phase Angle Jumps 58
  • 2.6.3 Fundamental Frequency 60
  • 2.6.4 Waveform shape deviation 62
  • 2.7 PQ index based on HOS 64
  • 2.8 Representations used by the time-domain 67
  • Chapter 3. Event Detection Strategies based on HOS feature extraction 72
  • 3.1 Introduction 73
  • 3.2 Detection methods based in HOS 73
  • 3.3 Experiment description 73
  • 3.3.1 Computational Strategy 73
  • 3.3.2 HOS for Sag Detection under Symmetrical and Sinusoidal Conditions 74
  • 3.3.2 HOS for Sag Detection including Phase-Angle Jump based on Non-Symmetrical & Non-Sinusoidal conditions 75
  • 3.3.2.1 HOS range for Transient detection including Phase-Angle Jump based on Non-Symmetrical & Non- Sinusoidal conditions 87
  • 3.3 Flow Diagram of HOS monitoring strategy focus on detecting short duration events: detecting amplitude, symmetry, and sinusoidal states 87
  • 3.4 Continuous event's characterization fundamental frequency 90
  • 3.4.1 Frequency deviation regions in the HOS planes 92
  • 3.4.2 Frequency deviation regions in the HOS planes 94
  • 3.5 Detection of Harmonics with HOS in the time domain 95
  • 3.6 Conclusions 97
  • Chapter 4. Measurements in the Frequency domain 100
  • 4.1 Introduction 101
  • 4.2 Frequency-domain 101
  • 4.3 HOS in Frequency-domain 102
  • 4.3.1 Spectral Kurtosis in Power Quality 103
  • 4.4 Harmonic distortion 103
  • 4.4.1 Types of Harmonic distortion 104
  • 4.4.2 Sources of Harmonic distortion 105
  • 4.4.3 Impact of harmonic distortion over power system 105
  • 4.5 Traditional theories of electrical frequency-domain indicators 105
  • 4.5.1 Harmonic measure 105
  • 4.5.2 DFT derived measures 107
  • 4.6 HOS contribution in PQ in the frequency-domain 107
  • 4.6.1 Spectral Kurtosis 108
  • 4.6.2 Spectral Kurtosis basic usage 115
  • 4.6.3 Spectral Kurtosis and Power quality 118
  • Chapter 5 Measurement Campaigns and Virtual Instruments 124
  • 5.1 Introduction 125
  • 5.2 Virtual Instrument 126
  • 5.2.1 Measurement Analysis Framework 126
  • 5.2.2 Experimental Strategy for PQM through a Virtual Instrument 128
  • 5.2.3 Configuration of the Virtual Instrument 128
  • 5.2.4 Results 131
  • 5.3 PQ continuous monitoring based on HOS for consumers characterization, public networks and household 132
  • 5.3.1 Measurement and Analysis Framework 132
  • 5.3.2 Evolution of the individual statistics histograms during several weeks 133
  • References 149
  • Annex A. Voltage Waveform 1
  • Theoretical power system waveform 1
  • Annex. B. Time-domain cumulants 1
  • Annex. C. HOS Range for Sag Detection, one cycle 3
  • Annex. D. HOS Range for Sag Detection, 10 cycles 7.