电力系统自动化
電力繫統自動化
전력계통자동화
AUTOMATION OF ELECTRIC POWER SYSTEMS
2012年
2期
31-35,105
,共6页
徐玉韬%卢继平%陈刚%刘贵富%王予疆%何潜
徐玉韜%盧繼平%陳剛%劉貴富%王予疆%何潛
서옥도%로계평%진강%류귀부%왕여강%하잠
低频振荡%振荡模式%在线辨识%高阶自回归滑动平均法%超高斯信号%归一化峰度
低頻振盪%振盪模式%在線辨識%高階自迴歸滑動平均法%超高斯信號%歸一化峰度
저빈진탕%진탕모식%재선변식%고계자회귀활동평균법%초고사신호%귀일화봉도
low frequency oscillation%oscillation mode%online estimation%higher order autoregressive moving average (ARMA) method%super-Gaussian signal%normalization kurtosis
针对目前自回归滑动平均(ARMA)法结合Prony方法方案存在的扰动检测和算法切换的难题,文中提出并验证了可以基于归一化峰度判断滑动窗内是否包含动态信号的方法,然后提出一种基于归一化峰度在常规ARMA法和高阶ARMA法之间自适应切换的低频振荡模式辨识方案。通过对电网实测信号的分析,将所提出方法与Prony方法和常规ARMA法分析结果进行对比,验证了此方案的可行性。
針對目前自迴歸滑動平均(ARMA)法結閤Prony方法方案存在的擾動檢測和算法切換的難題,文中提齣併驗證瞭可以基于歸一化峰度判斷滑動窗內是否包含動態信號的方法,然後提齣一種基于歸一化峰度在常規ARMA法和高階ARMA法之間自適應切換的低頻振盪模式辨識方案。通過對電網實測信號的分析,將所提齣方法與Prony方法和常規ARMA法分析結果進行對比,驗證瞭此方案的可行性。
침대목전자회귀활동평균(ARMA)법결합Prony방법방안존재적우동검측화산법절환적난제,문중제출병험증료가이기우귀일화봉도판단활동창내시부포함동태신호적방법,연후제출일충기우귀일화봉도재상규ARMA법화고계ARMA법지간자괄응절환적저빈진탕모식변식방안。통과대전망실측신호적분석,장소제출방법여Prony방법화상규ARMA법분석결과진행대비,험증료차방안적가행성。
It is well known that it is difficult to achieve disturbance-detecting and algorithm switching in autoregressive moving average (ARMA) method combined with Prony method. A new method is proposed to solve this difficulty. The method is based on normalization kurtosis to judge whether ringdown signal exists in the sliding window. With this method, a low frequency identification scheme is developed to achieve adaptive switching between the common ARMA method and the higher order ARMA method. Case studies are given to compare the performances of the proposed method with Prony method as well as normal ARMA method. The results demonstrate the validity of the proposed scheme.