State Evaluation for Transformer Based on Grey System Theory

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Abstract:

This paper proposes the modle based on Grey system theory to evaluate conditions of transformer. The model of unequal-interval GM (1,1) and GM(1,1) model including buffer operator are established to predict the values of gas dissolved in oil of transformer. According to the results of prediction,state of power transformer will be divided into five categories in order to propose corresponding repair strategy.The method is effective on providing support for transformer condition maintenance.The proposed method has been verified by the experimental data.

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983-987

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Liu Youwei, Li Guangfan, Gao Keli. Framework for state of electrical equipment repair guidelines[J]. Power system technology, 2003, 27 (6): 64 -67, 76.

Google Scholar

[2] Zhang Yuying, Foundation of safe and reliable operation of national power system[J].Electric Power Automation Equipment, 2007, 27(6): 122-124.

Google Scholar

[3] WU Guobing, WANG Yang, YANG Yinguo, ea al.Management Station Design and Development of Security—stability Control System [J].Automation of Electric Power Systems, 2012, 36(10): 118-122.

Google Scholar

[4] Wang Yemei, Dang Yaoguo, Wang Zhengxin. Optimization of background value in unequal-interval GM (1, 1) model[J]. Chinese Journal of management science, 2008, 16 (4): 159 -162.

Google Scholar

[5] Zhao Wenqing, Zhu Yongli, Jiang Bo. The power transformer condition assessment based on Bayes[J]. High voltage technology, 2008, 26 (5): 35 - 37.

Google Scholar

[6] DL/ T 596-1996. Rules of handover and prevention test of electric power equipment[S]. Beijing: China Electric Power Press, (1997).

Google Scholar

[7] Xu Qingshan. Power fault diagnosis and system recovery[M]. China Electric Power Press 2007, 51-55.

Google Scholar

[8] Luo Yunbai, Yu Ping, Song Bin. Modle based on Grey system to forecast gas dissolved in transformer oil [J]. The Chinese Journal of electrical engineering, 2001, 21 (3): 65 - 69.

Google Scholar