English Original Reader for Technical Students. Power transformers: short-circuit testing, monitoring systems (Smart Grid)

English Original Reader for Technical Students. Power transformers: short-circuit testing, monitoring systems (Smart Grid)
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Описание книги

Учебно-методическое пособие "English Original Reader for Technical Students. Power transformers: short-circuit testing, monitoring systems (Smart Grid). Diagnostics of electrical equipment» – новая разработка с использованием оригинального английского технического языка и проверкой носителями языка. Материал по чтению для студентов вузов и колледжей, магистрантов, бакалавров, аспирантов электротехнических специальностей. Пособие состоит из четырех глав: Monitoring Systems (Smart Grid) and Diagnostics of Electrical Equipment Faults, Diagnostics and transformer testing experience by LVI/FRA methods, Shortcurrent Testing Laboratories. Short-circuit performance of power transformers, transformer testing experience, Diagnostics by infra-red and ultraviolet control, partial discharges for detection of electrical equipment’s faults, defects.В конце каждой главы имеются упражнения на понимание текста, пополнения специального словарного запаса и закрепление пройденного материала.

Оглавление

Александр Юрьевич Хренников. English Original Reader for Technical Students. Power transformers: short-circuit testing, monitoring systems (Smart Grid)

This book is dedicated to the memory of my father Khrennikov Yurij Alexandrovich

Abbreviations

Chapter 1. Monitoring Systems (Smart Grid) and Diagnostics Electrical Equipment Faults

Abstract

1.1. Introduction

1.2. Smart Grid Information-Measuring System for Control of Inductance Value Transformer’s Winding

1.3. Algorithm of Smart Grid Information-Measuring System (IMS)

1.4. Inductance Calculations of 167 MVA/ 500/220 kV Autotransformer

1.5. Smart Grid Monitoring System for Short-Circuit Testing

1.6. An Accuracy of Diagnostic Parameter of Smart Grid Monitoring System

1.7. Determination of the Distribution Law of Measurement Random Error

1.8. Сalculation of Confidence of Interval of Measurement Random Error during Short-Circuit Transformer Testing

1.9. Conclusion

Active Vocabulary of electrotechnical terms and verbs:

References

Chapter 2. Diagnostics and Transformer Testing Experience by LVI/FRA Methods

Abstract

2.1. Introduction

2.2. LVI-Testing and FRA Method for 250 MVA/220 kV Transformer Diagnostic

2.3. Algorithm of the Frequency Spectral Analysis

2.4. Diagnostics of State Condition State of 125 MVA/220/110 kV Autotransformer After Failure

2.5. LVI-Testing of 20 MVA/35 kV Transformer After Short-Circuit

2.6. Diagnostics by LVI-testing of 32 MVA/110 kV Transformer of JSC “Mogoteks”, Belarus’ Republic, After Damage

2.7. Diagnostics by LVI-Testing of ТMY-43/90–90–36,6 АSEA Transformer of Oskol Electrometallurgical Plant

2.8. Diagnostics by LVI and FRA Method of 400 MVA/220 kV Transformer

2.9. Diagnostics by LVI-Testing of 63 MVA/220/110 kV Autotransformer

2.10. Study on the Dependency of LVI-Oscillograms and Signal Spectra of Power Transformer Winding of One Type Manufacturing

2.11. Activities for The Prevention of Transformer Outages Due to Short-Circuits

2.12. Diagnostics by LVI and FRA Methods of 80 MVA/110 kV Transformer

2.13.Conclusion

Active Vocabulary of electrotechnical terms and verbs:

Acknowledgment

References

Chapter 3. Shortcurrent Testing Laboratories. Short-Circuit Performance of Power Transformers, Transformer Testing Experience

Abstract

3.1. Introduction

3.2. Shortcurrent Testing Laboratories

3.3. Short-Circuit Transformer Testing Is an Instrument for Reliability Improvement of Power Transformer Design

3.4.Short-Circuit Testing of 250 MVA/220 kV Transformer at Shortcurrent Testing Laboratory

3.5.New Shortcurrent Testing Laboratory of Russia

3.6. Conclusion

Active Vocabulary of electrotechnical terms and verbs:

Acknowledgment

References

Chapter 4. Diagnostics by Infra-Red and Ultraviolet Control, Partial Discharges for Detection of Electrical Equipment’s Faults, Defects

Abstract

4.1. Introduction

4.2. Infra-Red Control Results of Substation Electrical Equipment

4.2.1. Infra-Red Control of the Thermal Condition of Bolt Assemblies and Defects of the Electrical Disconnectors

4.2.2. Infra-Red Control and Diagnostics of Limiters of Overvoltages

4.2.3. Infra-Red Control, Diagnostics and Damages of Measuring Current Transformer

4.2.4. Infra-Red Control and Diagnostics of the Thermal Condition of the High-Voltage Oil-Filled Electrical Equipment

4.3. Infra-Red Control of Turbine-Drive Generators of Heat Electric Power Stations (HEPS)

4.4. Ultraviolet Control Results

4.4.1. Location of Corona Discharges

4.4.2. Ultraviolet Control of Supporting Porcelain Insulation

4.4.3. Ultraviolet Control of Suspension Isolation

4.4.4. The Estimation of the Degree of Insulation Pollution

4.4.5. Ultraviolet Inspection of Polymeric Composition Insulators

4.5.Partial Discharges (PD) for the Insulation Monitoring

4.5.1. Breakdown of the Turn-to-Turn Insulation of the Power Transformers As a Result of the Action of Partial Discharges (PD)

4.5.2. Procedure of PD Measurements and Measuring Means

4.5.3. Results of Patial Discharge Measurements

4.6. Conclusion

Active Vocabulary of electrotechnical terms and verbs:

Acknowledgment

References

Отрывок из книги

IMS-Information-measuring systems;

LVI–Low Voltage Impulse;

.....

Advantage of the proposed in this chapter method one can see well in the case of changing Хs-c in the third, and then in the fourth final shot from +0,22 % to 0,34 %, when the value of confidence interval with the normal distribution Δconf = (no shaded rectangles in Figure 6) the significance of the obtained deviations does not give to estimate, since confidence intervals Δconf of third and fourth shots are overlapped. This can lead to the false conclusion that change ΔХs-c = +0,12 % from the third to the fourth shot insignificant and is connected only with the influence of measurement error.

The procedure of determination of Δconf, which presented in (1.13–1.26), allows to obtain the significant deviation of ΔХs-c with its change from the third short-circuit shot to the fourth short-circuit shot, having Δconf = 0,05 % for “Chapeau” distribution.

.....

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