دانلود مقاله ISI انگلیسی شماره 46219
عنوان فارسی مقاله

یک روش جدید منطق فازی برای شناسایی قدرت ترانسفورماتور با استفاده از تجزیه و تحلیل حساسیت گاز حل شده در روغن

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
46219 2015 8 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A new fuzzy logic approach to identify power transformer criticality using dissolved gas-in-oil analysis
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Electrical Power & Energy Systems, Volume 67, May 2015, Pages 401–408

کلمات کلیدی
تشخیص ترانسفورماتور - DGA - شکست ترانسفورماتور - منطق فازی
پیش نمایش مقاله
پیش نمایش مقاله یک روش جدید منطق فازی برای شناسایی قدرت ترانسفورماتور با استفاده از تجزیه و تحلیل حساسیت گاز حل شده در روغن

چکیده انگلیسی

Dissolved gas analysis (DGA) of transformer oil is one of the most effective power transformer condition monitoring tools. There are many interpretation techniques for DGA results however all current techniques rely on personnel experience more than analytical formulation. As a result, the current techniques do not necessarily lead to the same conclusion for the same oil sample. A significant number of DGA results fall outside the proposed codes of the ratio-based interpretation techniques and cannot be diagnosed using these methods. Moreover, ratio methods fail to diagnose multiple fault conditions due to the mixing up of produced gases. To overcome these limitations, this paper introduces a new fuzzy logic approach that aids in standardizing DGA interpretation and identifies transformer critical ranking based on DGA data. The approach relies on incorporating all traditional DGA interpretation techniques (Roger, Doerenburg, IEC, key gas and Duval triangle methods) into one expert model. In this context, DGA results of 338 oil samples of pre-known fault conditions that were collected from different transformers of different rating and different life span are used to establish the model. Traditional DGA interpretation techniques are used first to analyze the DGA results to evaluate the consistency and accuracy of each method in identifying various faults. Results of this analysis were then used to develop the proposed fuzzy logic model. The model is validated using another set of DGA data that were collected form previously published papers.

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