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《AUTOMATION OF ELECTRIC POWER SYSTEMS》 2000-01
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CLASSIFICATION OF DISTURBED TRAJECTORIES

Dai Chensong,Xue Feng,Xue Yusheng Nanjing Automation Research Institute,Nanjing2 10003,China  
It is a big challenge for a numerical integration method to assess multimachine system stability beyond the actually performed integration period,and reliable criterion for early stopping of the integration is very much needed.EEAC Extended Equal Area Criterion integrates the whole dynamic equations in and then divides the resultant n- machine trajectory into a complementary- subset in all possible ways.For each pair of the complementary clusters,the trajectories are mapped into a plane with a stability preserving transformation,and the stability of each image can be quantitatively assessed. If and only if all images are stable,the global system is stable.This not only makes quantitative analysis of multimachine system stability possible,but also opens a way to early stop the integration.If there are several machines which loss stability after a few swings,their trajectories mustbe well coherent.The present paper proposes a new approach to solve the problem of early stopping.It sorts stable trajectories of an n- machine system into coherent groups and analyzes the dynamic behaviors in the images defined by EEAC.The individual machine trajectories within a short time period are characterized by time domain analysis,frequency domain analysis and wavelet analysis successively.After passing a low pass digital filter,the data of swing curves are re- sampled to eliminate the local peaks and valleys.Then the time domain features,such as the average period and the positions of peaks and valleys,are extracted,and most of the coherent groups can be figured out.The remaining curves,which have non- predominant elements with either low frequency or high amplitude,are then processed in frequency domain.The Blackman Window is applied for fast Fourier transformation,and the curves are characterized with frequency elements,phases and relative amplitude.If there are still some curve remaining,wavelet analysis with a special spectrum of1 Hz~ 2 Hz is applied.An expertsystem is used to coordinate the classification procedures.Tests are performed to cases those are marginally stable within 1 0 seconds,as well as to cases those are marginally unstable after 1 0 seconds.The sorting procedure uses only the data within the first3seconds of the dynamics,and good performances are demonstrated in this paper.
【Fund】: 国家重点基础研究专项经费资助项目! (G1 9980 2 0 3);; 国家电力公司科技项目! (1 999SPKJ0 1 0 - 2 0 )
【CateGory Index】: TM76
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