NDLI: Transient disturbance detection for micro grid power quality based on neural network adaptive control

Content Provider	IEEE Xplore Digital Library
Author	Hongche Guo Tao Li Gangqiang Li
Copyright Year	2013
Description	Author affiliation: Hunan Inst. of Sci. & Technol., Yueyang, China (Hongche Guo) \|\| Jinan Railway Vehicles Equip. Co., Ltd., Jinan, China (Tao Li; Gangqiang Li)
Abstract	To better integrate the wind power generation system into the AC micro-grid, power quality of the micro-grid has to be monitored. In this paper, the micro-grid power quality transient disturbance detection algorithm, which based on the neural network adaptive control (NNAC), was proposed. Besides, adaptive control structure of power quality transient disturbance detection was given, and transient disturbance, including voltage transient dips, voltage instantaneous liter, voltage interruption and the transient oscillation, was simulated and tested. The simulation results show that when using this algorithm, the type of transient disturbances signal in the micro-grid can be detected better, the start time and duration of the disturbance can be determined easily, and the analysis and calculation is simple, fast, and calculated data are less. The application of this method is very conducive to the operation of the wind power generation system in micro-grid control.
Sponsorship	IEEE Circuits Syst. Soc.
Starting Page	297
Ending Page	301
File Size	601340
Page Count	5
File Format	PDF
ISBN	9781467347143
ISSN	21579563
DOI	10.1109/ICNC.2013.6817989
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Voltage fluctuations Interrupters Power quality Neurons adaptive control transient disturbance micro grid Transient analysis Adaptive control Voltage control neural network
Content Type	Text
Resource Type	Article

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