المصدر: | المجلة الجامعة |
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الناشر: | جامعة الزاوية - مركز البحوث والدراسات العليا |
المؤلف الرئيسي: | Marimi, Rashed M. (Author) |
المجلد/العدد: | مج21, ع1 |
محكمة: | نعم |
الدولة: |
ليبيا |
التاريخ الميلادي: |
2019
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الشهر: | يناير |
الصفحات: | 25 - 56 |
رقم MD: | 1263885 |
نوع المحتوى: | بحوث ومقالات |
اللغة: | الإنجليزية |
قواعد المعلومات: | EduSearch, EcoLink, IslamicInfo, AraBase, HumanIndex |
مواضيع: | |
كلمات المؤلف المفتاحية: |
Power Transformer | Condition Monitoring | Winding Displacement and Deformation | Forced Buckling | Locus | Polar Coordinates | Turn to Turn Faults | Frequency Response Analyses (FRA)
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رابط المحتوى: |
الناشر لهذه المادة لم يسمح بإتاحتها. |
المستخلص: |
The power transformer is an essential piece of equipment for the effective transmission of electrical energy in transmission and distribution networks. Therefore, transformer failure is an important issue for the electrical industry sector. Transformer failure may occur for various reasons. Heavy usage and ageing are common factors that lead to transformer malfunction and may account for major maintenance costs. An appropriate monitoring method must therefore be implemented in the system to improve network reliability and avoid further maintenance costs. In this paper is proposed a new approach for detecting and distinguishing internal faults within power transformers by using a locus characteristic algorithm. This locus of a transformer could be formed by plotting the differential voltage input and output against input current on the source side. This locus would be represented in an image, which could then be analyzed using the image processing toolbox from MATLAB developed software. Importantly, this new technique uses an online monitoring, detection method, which could monitor the transformer’s condition while it is operating. This technique is an online monitoring, testing method that improves upon the current outdated, offline testing methods such as the Frequency Response Analysis (FRA) and other uncommon online testing methods. The Frequency Response and Polar Coordinate methods will also be discussed in comparison with both MATLAB and power system simulation (PSIM) techniques. |
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