DocumentCode :
3540917
Title :
Design and data processing of a real-time power quality monitoring instrument
Author :
Zou, Zhenghua ; Liu, Yongqiang ; Zhao, Fuqiang ; Peng, Mingzhi
Author_Institution :
Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China
fYear :
2009
fDate :
16-19 Aug. 2009
Abstract :
Power quality (PQ) monitoring is an important issue to electric utilities and many industrial power customers. This paper presents a new distributed monitoring instrument based on Digital Signal Processing (DSP) and virtual measuring technology. The instrument is composed of EOC module, Feeder Control Unit (FCU) and Supervision Unit (SU). EOC module is used to implement the data acquisition and high speed data transmission of busbar voltage; FCU performs data acquisition and processing of feeders; SU based on virtual measuring technology is used to further analyze and process power quality parameters, achieves data storage and management. Wavelet-transformation which is implemented into SU detects transient power quality disturbance, while digital filtering, windowing, the software fixed-frequency sampling method, linear interpolation and Fast Fourier Transformation (FFT) are realized by DSP. Therefore, the monitoring instrument not only implements real-time, comprehensive high-precision and management for all power quality parameters, but also helps confirm source of the disturbance, improve the quality of power supply and increase the stability performance of power system.
Keywords :
data acquisition; power supply quality; power system measurement; power system simulation; power system stability; signal processing; wavelet transforms; busbar voltage; data acquisition; data management; data storage; digital signal processing; distributed monitoring instrument; fast Fourier transformation; feeder control unit; high speed data transmission; linear interpolation; power system stability performance; real-time power quality monitoring instrument; software fixed-frequency sampling method; supervision unit; virtual measuring technology; wavelet-transformation; while digital filtering; windowing; Data acquisition; Data processing; Digital signal processing; Energy management; Instruments; Monitoring; Power quality; Power system management; Process design; Quality management; EOC; FFT; Power quality; Wavelet-transform; data acquisition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274063
Filename :
5274063
Link To Document :
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