Title :
Analysis of wide-area frequency measurement of bulk power systems
Author :
Tsai, Shu-Jen Steven ; Zhong, Zhian ; Zuo, Jian ; Liu, Yilu
Author_Institution :
Bradley Dept. of Electr. & Comput. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA
Abstract :
Field-measured frequency data from a nationwide frequency monitoring network (FNET) are examined in this paper. Wavelet-based denoising signal processing technique is applied to filter out spikes and noises from measured frequency data. System´s frequency statistics of three major U.S. power grids are investigated. Comparison between phasor measurement unit (PMU) and FNET data illustrates the close tracking between the two. Several generator trip events in the Eastern Interconnection System and the Western Electricity Coordinating Council system are recorded and the frequency patterns are analyzed. Sample results are shown for a 13 month period of time. In addition to transient states´ observation, the quasi-steady-state, such as oscillation, can also be observed by FNET
Keywords :
electric generators; monitoring; phase measurement; power grids; power system interconnection; power system measurement; signal denoising; wavelet transforms; Eastern Interconnection System; Western Electricity Coordinating Council system; bulk power systems; field-measured frequency data; frequency monitoring network; generator trip events; phasor measurement unit; power grids; wavelet-based denoising signal processing technique; wide-area frequency measurement; Filters; Frequency measurement; Monitoring; Noise measurement; Noise reduction; Phasor measurement units; Power system analysis computing; Power system measurements; Signal processing; Statistics; FNET; Wide area measurement system; generation trip; oscillation mode; system frequency dynamics; wavelet denoise;
Conference_Titel :
Power Engineering Society General Meeting, 2006. IEEE
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0493-2
DOI :
10.1109/PES.2006.1708904