Prediction Analysis of Electromagnetic Interference Based on Gray Prediction Theory

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Abstract:

The paper introduces a new method for prediction of electromagnetic compatibility in the power system, and use the Electromagnetic simulation software ATP. By comparing the actual test results to the simulation results, it is proved that electromagnetic transient simulation is reliable and effective. It also introduces the Gray prediction theory to predict the next Electromagnetic Interference (EMI) of the substation. It is high practical to research and analyze the substation electromagnetic compatibility, and feasible to use the Gray prediction theory with multivariable for the model EMI prediction analysis.

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3731-3735

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December 2010

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Thomas D E et al: Induced transient in substation cables: measurement and models . IEEE Trans on PD. 1994, 9(4) : 96.

Google Scholar

[2] Rao M. Mohana: Computation of electromagnetic interference fields in a high voltage gas insulated substation during switching operations. IEEE Int. Symp. Electromagn. Compat, 2003, (2): 743~748.

DOI: 10.1109/isemc.2003.1236700

Google Scholar

[3] Tiebing Lu: Research on Numerical Prediction Methods for Transient Electromagnetic Environments in Substations North China Electric Power University , (2001).

Google Scholar

[4] Bo Zhang, Zhibin Zhao, Xiang Cui: Diagnosis of Breaks in Substation's Grounding Grid by Using the Electromagnetic Method, IEEE Trans. on Magnetics, 2002,38(2): 473~476.

DOI: 10.1109/20.996125

Google Scholar

[5] Tiebing Lu, Xiang Cui: Proceedings of The Chinese Society for Electrical Engineering China Electrical Engineering, 2000, 20 (6) : 39~42.

Google Scholar

[6] Ji Li: Development of a new software for the prediction of transient electromagnetic process due to switch operation in EHV Substation, North China Electric Power University master's degree thesis, (2003).

Google Scholar

[7] Julong Deng: Gray forecasting and decision[M] Huazhong University of Science Publishing House , 2002, 25 ~ 30.

Google Scholar

[8] Yu jianming, Yan fei, Yang wenyu: Variable weight combination Gray prediction model of long-term electric load, Power System Technology, 2005, 29(17): 26~29.

Google Scholar

[9] Fang rengcun: Power system load forecasting interval, PhD thesis, Wuhan, Huazhong University of Science and Technology, (2008).

Google Scholar

[10] Jing Wang: Transformer Forecasting Based on The Theory of Grey system North China Electric Power University, (2006).

Google Scholar