ارزیابی تأثیر پارامترهای روغن ترانسفورماتور بر شاخص سلامت ترانسفورماتور با استفاده از روش رگرسیون تخمین منحنی
محورهای موضوعی : مهندسی برق و کامپیوتر
مرتضی سعید
1
,
حامد زين الديني ميمند
2
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1 - دانشکده مهندسی برق و کامپیوتر دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته کرمان
2 - دانشکده مهندسی برق و کامپیوتر دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته کرمان
کلید واژه: رگرسیون تخمین منحنی, شاخص سلامت ترانسفورماتور, گازهای محلول در روغن,
چکیده مقاله :
ترانسفورماتورها از گران‌ترین و مهم‌ترین تجهیزات در سیستم‌های قدرت هستند كه تحت تأثیر تنش‌های الكتریكی، حرارتی و واكنش‌های شیمیایی می‌باشند. شاخص سلامت ترانسفورماتور معیاریست كه با استفاده از داده‌های آزمایشگاهی و بازرسی‌های میدانی برای ارزیابی وضعیت و تعیین عمر باقیمانده ترانسفورماتور از آن استفاده می‌شود. هدف از این مقاله به‌صورت یک ایده جدید، تعیین روابط بین پارامترهای الکتریکی، فیزیکی، شیمیایی روغن، گازهای محلول در روغن و شاخص سلامت ترانسفورماتور می‌باشد. یکی از مزایای استفاده از روش رگرسیون در تحلیل داده‌های ترانسفورماتور نسبت به روش‌های دیگر برای تعیین شاخص سلامت ترانسفورماتور، تعیین تأثیرپذیری پارامترهایی است که بیشترین تأثیر را بر یکدیگر دارند از جمله: 1) معرفی رطوبت به عنوان پارامتری که بیشترین نقش را در کاهش ولتاژ شکست روغن دی‌الکتریک و شاخص سلامت ترانسفورماتور دارد. 2) تعیین وجود رابطه معکوس بین مؤلفه اسید و مؤلفه فورفورال. 3) تعیین فورفورال به عنوان پارامتری که بیشترین نقش را در کاهش کشش سطحی (به‌هم‌پیوستگی مولکول‌های) روغن دارد. 4) تعیین گاز CO به عنوان گازی که بیشترین نقش را در تولید مؤلفه فورفورال دارد. 5) تعیین گاز 2H2C به عنوان گازی که بیشترین نقش را در تولید مؤلفه اسید دارد. در این مقاله از روش رگرسیون تخمین منحنی استفاده شده و نتایج با رسم نمودارها توسط نرم‌افزار آماری SPSS برای تحلیل پارامترها ترسیم گردیده است. برای انجام شبیه‌سازی‌ها داده‌های آزمایشگاهی مربوط به 120 عدد ترانسفورماتور در نظر گرفته شده است.
Transformers are one of the most expensive and important equipment in power systems that are under the influence of electrical, thermal and chemical reactions The transformer health index is a standard that is used to evaluate the condition and determine the remaining life of the transformer by using laboratory data and field inspections. The purpose of this article is to determine the relationships between electrical, physical, chemical parameters of oil, dissolved gases in oil and transformer health index. One of the advantages of using the regression method in the analysis of transformer data compared to other methods for determining the transformer health index is determining the influence of the parameters that have the greatest impact on each other. In this article, Curve Estimation Regression method is used and the results are drawn by drawing graphs by SPSS statistical software to analyze the parameters. To carry out the simulations, the laboratory data of some transformers have been considered.
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