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Research on Recognition Method of Power Transformer Winding Deformation

Author: RenHe
Tutor: MaShaoHua
School: Shenyang University of Technology
Course: Motor and electrical
Keywords: Power transformers Winding Deformation Pulse frequency response method Support Vector Machine
CLC: TM41
Type: Master's thesis
Year: 2009
Downloads: 74
Quote: 0
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Abstract


The power transformer is the core of the power transmission and grid distribution. To a large extent, the operational status of the power transformer directly determines the quality of the electricity supply. Therefore, in order to ensure the reliability of the electricity supply, it is necessary to continue the detection and evaluation of the operating conditions of the transformer. Based on the frequency response method (FRA), the pulse frequency response method (IFRA) is becoming an increasingly popular transformer windings for an external monitor and evaluate health and structural integrity. The advantages of this technology is that it can produce a full frequency response characteristic curve, within a very short time so that the methods have a strong anti-interference characteristics. IFRA is an ideal sense transformer winding deformation method. This will be IFRA method based IFRA analysis winding deformation method, by OrCAD / PSpice simulation of various transformer winding fault conditions and use of Matlab frequency response characteristics of various fault conditions, and draw the frequency response characteristics of curve, which summed up the characteristics of the various types of the winding deformation frequency response curve. Finally, using the the IFRA method developed lightning wave pulse generator and related auxiliary circuit, and with UDAQ-50612-type high-speed capture card lap test circuit transformer winding fault test research. As a branch of artificial intelligence, machine learning technology continues to develop, allowing the computer to be able to self-learning and to accomplish the task. In this article, by extracting the resonance point of the frequency response curve as the feature, use of this stage is widely used support vector machine (SVM) algorithm for the identification of winding deformation, to obtain the transformer winding deformation degree of nonlinear multi-classification results. This is the first use of C language to write a set of application SVM algorithm to detect winding deformation of the assembly, and the feasibility of a large number of simulation data validation method. Using Microsoft Visual Studio 2005 programming development tools C #. NET programming language test system software, including various types of test control module, the frequency response curve generation module, SVM test analysis module. Finally, the system Yunfeng Power Plant 1 #, 2 # main transformer winding deformation identification analysis. The first time the combination of the IFRA Technology and the SVM algorithm for the analysis of transformer winding deformation, with the further improvement of this technology, there is reason to believe that this method will surely make a greater contribution for transformer winding detection.

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CLC: > Industrial Technology > Electrotechnical > Transformers, converters and reactors > Power transformers
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