中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
30期
5408-5415
,共8页
次同步振荡%模态阻尼%环境激励%发电机组%转子
次同步振盪%模態阻尼%環境激勵%髮電機組%轉子
차동보진탕%모태조니%배경격려%발전궤조%전자
subsynchronous oscillation (SSO)%modal damping%ambient excitation%generator unit%rotor
通过实时测量运行中的发电机组受电网负荷波动及噪声随机激励下的微弱转子转速响应,可以将机网振荡的模态参数(包括模态频率、阻尼和幅值)在线辨识出来。采用随机减量技术处理环境激励下的转子角位移差分信号,从而获取随机减量特征信号,该信号包含机网系统结构振荡的自由衰减响应分量;采用窄带频率滤波算法从所述的随机减量特征信号中获得各个次同步分量的时域衰减特征曲线,进而计算出当前运行方式下的不同频率的振荡模态的阻尼。采用该方法对绥中电厂1000 MW机组的实测数据进行计算,有效辨识出绥中电厂及高岭直流区域电网的次同步振荡阻尼等模态参数。基于该方法可以实现实时的次同步振荡安全监测。
通過實時測量運行中的髮電機組受電網負荷波動及譟聲隨機激勵下的微弱轉子轉速響應,可以將機網振盪的模態參數(包括模態頻率、阻尼和幅值)在線辨識齣來。採用隨機減量技術處理環境激勵下的轉子角位移差分信號,從而穫取隨機減量特徵信號,該信號包含機網繫統結構振盪的自由衰減響應分量;採用窄帶頻率濾波算法從所述的隨機減量特徵信號中穫得各箇次同步分量的時域衰減特徵麯線,進而計算齣噹前運行方式下的不同頻率的振盪模態的阻尼。採用該方法對綏中電廠1000 MW機組的實測數據進行計算,有效辨識齣綏中電廠及高嶺直流區域電網的次同步振盪阻尼等模態參數。基于該方法可以實現實時的次同步振盪安全鑑測。
통과실시측량운행중적발전궤조수전망부하파동급조성수궤격려하적미약전자전속향응,가이장궤망진탕적모태삼수(포괄모태빈솔、조니화폭치)재선변식출래。채용수궤감량기술처리배경격려하적전자각위이차분신호,종이획취수궤감량특정신호,해신호포함궤망계통결구진탕적자유쇠감향응분량;채용착대빈솔려파산법종소술적수궤감량특정신호중획득각개차동보분량적시역쇠감특정곡선,진이계산출당전운행방식하적불동빈솔적진탕모태적조니。채용해방법대수중전엄1000 MW궤조적실측수거진행계산,유효변식출수중전엄급고령직류구역전망적차동보진탕조니등모태삼수。기우해방법가이실현실시적차동보진탕안전감측。
Through the real-time measurement of rotor speed of a running generator unit, which was a weak response signal excited by power grid load fluctuations and noises, the generator-grid oscillation modal parameters (modal frequecies, dampings and amplitudes) were recognized online. The random decrement characteristic signal including free damped response components of the generator-grid system structure oscillation was obtained through the application of random decrement technique (RDT) to the processing of the rotor angular displacement differential signal under ambient excitation. The time-domain attenuation characteristic curves of subsynchro- nous oscillation (SSO) components were obtained from the random decrement characteristic signal through the application of the narrow band pass filter algorithm, and then the vibration modal dampings at the specified frequencies under the current operation condition were calculated. This new scheme was used to analyze the measured data of a 1000MW generator unit in Suizhong power plant and identified the SSO modal parameters of the Suizhong power plant and Gaoling HVDC power grid effectively. Real-time subsynchronous oscillation safety monitoring can be realized based on this method.