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Study on Temperature Rise in Transformer and the Influence on Insulation Aging

Author: ZuoYingJie
Tutor: WuGuangNing
School: Southwest Jiaotong University
Course: High Voltage and Insulation Technology
Keywords: Transformer Thermal Circuit Model Hot spot temperature Aging of insulation equivalents Thermal characteristic parameters
CLC: TM855
Type: Master's thesis
Year: 2011
Downloads: 122
Quote: 0
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Abstract


The transformer is one of the power system, the most important and most critical electrical equipment, and the safety of its operation reliability directly related to the security and stability of the power system, the insulating state is the decisive factor of the transformer life, while the temperature is the main factor affecting the insulating state, especially transformer hot spot temperature. Therefore study the internal temperature rise of the transformer insulation aging, has positive significance of the the transformer operation management and life assessment. Thesis transformer internal temperature rise calculated, the transformer actual service life estimation methods, as well as the thermal characteristic parameters of temperature rise and insulation equivalents aging results. Based on the principle of thermoelectric analogy, the transformer internal heat transfer process converts easily solved thermal circuit model, the establishment of the transformer top oil warm road model and hot temperature thermal circuit model, the top oil temperature and hot temperature differential equations are derived, based on IEC60076-7 Recommended index Equation to obtain a transformer internal temperature calculation method, the calculation result with the measured values ??in good agreement, especially in the load increase phase, with the measured value is consistent. Top oil warm road model and the hot temperature thermal circuit model based on a simplified hot spot temperature thermal circuit model, hot temperature and ambient temperature and load factor is derived directly related to expression, the calculated results with the measured ones . According to a transformer load and ambient temperature data collected to form a typical load and a typical ambient temperature. A transformer service life prediction method based on the IEEE insulation equivalents aging computing model, the method takes into account changes in the load and ambient temperature, the actual service life of the transformer 50, and the use of the Weibull distribution to analyze the results actual life to draw the maximum probability value; consider the impact of load growth year after year and temperatures rise, to predict the actual service life of the transformer under these conditions. When the average load is less than the rated load, and the number of real-time load exceeds the rated load is small, the actual service life is much greater than the design life; frequently exceed the rated load, average load is less than the rated load, load overshoot will cause transformer The temperature rise sharply accelerated transformer insulation aging. The physical meaning of the thermal characteristic parameters for transformer internal temperature rise and insulation the equivalents aging time calculated analysis of the thermal characteristics of the parameters on the calculated result. Thermal characteristic parameters recommended value ± 10% fluctuation range, for example, conventional load and high load operation, data analysis using the Monte Carlo method to study the thermal characteristics of parameters to select the recommended values ??affect the accuracy results. Conventional load recommended values ??can basically meet the requirements of estimation accuracy; under high load, the recommended value and the actual value of the error will calculate the final results bring greater error, if you need to get more accurate results, you need further temperature rise test to determine the thermal characteristic parameters of the actual value.

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CLC: > Industrial Technology > Electrotechnical > High Voltage Engineering > High - voltage insulation technology > Insulation test and inspection
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