A Method for Substation Equipment Temperatue Prediction

Qian Zhao; Yong Qian Li; Tian Li

doi:10.4028/www.scientific.net/AMM.631-632.580

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 631-632A Method for Substation Equipment Temperatue...

A Method for Substation Equipment Temperatue Prediction

Abstract:

The temperature change of the power transmission line and substation equipment can reflect their potential safety hazard caused by their aging and overload. Based on the nonlinear analysis of forecasting substation equipment temperature data can realize effectively early warning of equipment failure and avoid huge losses caused by the accident. This paper puts forward a method for temperature forecasting, based on the chaotic time series and BP neural network. It collects data from wireless temperature sensors to establish a time series of substation equipments’ temperature. Software simulation results showed that the prediction method has higher prediction accuracy than that of the traditional method.

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

580-584

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.580

Citation:

Cite this paper

Online since:

September 2014

Authors:

Qian Zhao*, Yong Qian Li, Tian Li

Keywords:

Chaotic Time Series , Neural Network (NN), Temperature Prediction

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* - Corresponding Author

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