Optical Sensing in Power Transformers - Guoming Ma
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Présentation Optical Sensing In Power Transformers de Guoming Ma Format Relié
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Résumé : A cutting-edge, advanced level, exploration of optical sensing application in power transformers Optical Sensing in Power Transformers is filled with the critical information and knowledge on the optical techniques applied in power transformers, which are important and expensive components in the electric power system. Effective monitoring of systems has proven to decrease the transformer lifecycle cost and increase a high level of availability and reliability. It is commonly held that optical sensing techniques will play an increasingly significant role in online monitoring of power transformers. In this comprehensive text, the authors-noted experts on the topic-present a scholarly review of the various cutting-edge optical principles and methodologies adopted for online monitoring of power transformers. Grounded in the authors' extensive research, the book examines optical techniques and high-voltage equipment testing and provides the foundation for further application, prototype, and manufacturing. The book explores the principles, installation, operation, condition detection, monitoring, and fault diagnosis of power transformers. This important text: Written for researchers, technical research and development personnel, manufacturers, and frontline engineers, Optical Sensing in Power Transformers offers an up-to-date review of the most recent developments of optical sensing application in power transformers.
Biographie: JUN JIANG, PHD, is Associate Professor, Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics, China. GUOMING MA, PHD, is Professor, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, China....
Sommaire: Foreword ix Preface xi Acknowledgments xiii About the Authors xv Acronyms xvii List of Figures xxi List of Tables xxix 1 Power Transformer in a Power Grid 1 1.1 Typical Structure of a Power Transformer 2 1.2 Insulation Oil in a Power Transformer 3 1.3 Condition Monitoring of an Oil-Immersed Power Transformer 7 1.3.1 Temperature 7 1.3.2 Moisture 8 1.3.3 Dissolved Gases Analysis 9 1.3.4 Partial Discharge 10 1.3.5 Combined Online Monitoring 11 1.4 Conclusion 11 References 12 2 Temperature Detection with Optical Methods 15 2.1 Thermal Analysis in a Power Transformer 15 2.1.1 Heat Source in a Power Transformer 15 2.1.2 Heat Transfer in a Power Transformer 16 2.2 Fluorescence-Based Temperature Detection 18 2.2.1 Detection Principle 18 2.2.2 Fabrication and Application 20 2.2.3 Merits and Drawbacks 21 2.3 FBG-Based Temperature Detection 22 2.3.1 Detection Principle 22 2.3.2 Fabrication and Application 24 2.3.3 Merits and Drawbacks 25 2.4 Distribution Measurement 27 2.4.1 Quasi-Distributed Temperature Sensing 27 2.4.2 Distribute Temperature Sensing 28 2.4.2.1 Light Scattering 28 2.4.2.2 Raman Based Distributed Temperature Sensing 28 2.4.2.3 Rayleigh-Based Distributed Temperature Sensing 32 2.4.3 Merits and Drawbacks 33 2.5 Conclusion 33 References 34 3 Moisture Detection with Optical Methods 37 3.1 Online Monitoring of Moisture in a Transformer 37 3.1.1 Distribution of Moisture in the Power Transformer 38 3.1.2 Typical Moisture Detection Techniques 40 3.2 FBG-Based Moisture Detection 42 3.2.1 Detection Principle 42 3.2.2 Fabrication and Application 45 3.2.3 Merits and Drawbacks 48 3.3 Evanescent Wave-Based Moisture Detection 49 3.3.1 Detection Principle 49 3.3.2 Fabrication of MNF 53 3.3.2.1 Chemical Etching Method 53 3.3.2.2 Fused Biconical Taper Method 54 3.3.3 MNF Moisture Detection 56 3.3.4 Merits and Drawbacks 57 3.4 Fabry-Perot-Based Moisture Detection 58 3.4.1 Detection Principle 58 3.4.2 Fabrication and Application 59 3.4.3 Merits and Drawbacks 61 3.5 Conclusion 61 References 62 4 Dissolved Gases Detection with Optical Methods 65 4.1 Online Dissolved Gases Analysis 65 4.1.1 General Quantitive Requirements of Online DGA 67 4.1.2 Advantages of Optical Techniques in DGA 70 4.2 Photoacoustic Spectrum Technique 70 4.2.1 Detection Principle of PAS 70 4.2.2 Application of a PAS-Based Technique 73 4.2.3 Merits and Drawbacks 74 4.3 Fourier Transform Infrared Spectroscopy (FTIR) Technique 76 4.3.1 Detection Principle of FTIR 76 4.3.2 Application of the FTIR-Based Techniques 80 4.3.2.1 FTIR Technique 80 4.3.2.2 Online FTIR Application 85 4.3.2.3 Combination of FTIR and PAS 86 4.3.3 Merits and Drawbacks 88 4.4 TDLAS-Based Technique 89 4.4.1 Detection Principle of TDLAS 89 4.4.2 Application of the TDLAS-Based Technique 92 4.4.2.1 Optical Lasers 94 4.4.2.2 Multi-pass Gas Cell 95 4.4.2.3 Topology of Multi-gas Detection 96 4.4.2.4 Laboratory Tests 99 4.4.2.5 Field Application 103 4.4.3 Merits and Drawbacks 105 4.5 Laser Raman Spectroscopy Technique 106 4.5.1 Detection Principle of Raman Spectroscopy 106 4.5.2 Application of Laser Raman Spectroscopy 107 4.5.3 Merits and Drawbacks 109 4...
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