Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks

碩士 === 正修科技大學 === 電機工程研究所 === 100 === Reactive power compensator can be used to reduce voltage flicker of power systems for providing good power quality, which can reduce the damage of electrical equipment and maintain constant output of light sources. Therefore, voltage flicker forecasting and reac...

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Main Authors:	Wu, MengChien, 吳孟褰
Other Authors:	Huang, YannChang
Format:	Others
Language:	zh-TW
Published:	2012
Online Access:	http://ndltd.ncl.edu.tw/handle/34603685990992864134

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spelling	ndltd-TW-100CSU009990092015-10-13T20:51:34Z http://ndltd.ncl.edu.tw/handle/34603685990992864134 Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks 應用類神經網路於電力系統電壓閃爍之預測 Wu, MengChien 吳孟褰碩士正修科技大學電機工程研究所 100 Reactive power compensator can be used to reduce voltage flicker of power systems for providing good power quality, which can reduce the damage of electrical equipment and maintain constant output of light sources. Therefore, voltage flicker forecasting and reactive power compensation are important research topics in the electrical engineering. This thesis proposes one step secant method based back-propagation neural network to forecast the voltage flicker of power systems, and the proposed method was trained by collected data from DC arc furnace in a steel mill. Then, the voltage flicker can be further reduced by the reactive power compensation of power systems. Huang, YannChang 黃燕昌 2012 學位論文 ; thesis 48 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 正修科技大學 === 電機工程研究所 === 100 === Reactive power compensator can be used to reduce voltage flicker of power systems for providing good power quality, which can reduce the damage of electrical equipment and maintain constant output of light sources. Therefore, voltage flicker forecasting and reactive power compensation are important research topics in the electrical engineering. This thesis proposes one step secant method based back-propagation neural network to forecast the voltage flicker of power systems, and the proposed method was trained by collected data from DC arc furnace in a steel mill. Then, the voltage flicker can be further reduced by the reactive power compensation of power systems.
author2	Huang, YannChang
author_facet	Huang, YannChang Wu, MengChien 吳孟褰
author	Wu, MengChien 吳孟褰
spellingShingle	Wu, MengChien 吳孟褰 Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks
author_sort	Wu, MengChien
title	Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks
title_short	Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks
title_full	Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks
title_fullStr	Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks
title_full_unstemmed	Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks
title_sort	voltage flicker forecasting of power systems using artificial neural networks
publishDate	2012
url	http://ndltd.ncl.edu.tw/handle/34603685990992864134
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Voltage Flicker Forecasting of Power Systems Using Artificial Neural Networks

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