中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
34期
6209-6215
,共7页
低频振荡%强迫功率振荡%在线定位%广域测量系统
低頻振盪%彊迫功率振盪%在線定位%廣域測量繫統
저빈진탕%강박공솔진탕%재선정위%엄역측량계통
low frequency oscillation%forced power oscillation%online detection%wide-area measurement system (WAMS)
强迫功率振荡源的在线定位对电网安全稳定运行具有至关重要的作用。基于相量测量装置(phasor measurement unit,PMU)的实测数据和同步发电机转子运动方程,给出振荡过程中发电机机械输入功率波动的计算方法。通过对振荡过程中发电机机械输入功率波动、电气输出功率波动、转速(频率)波动的相位关系的理论分析,给出强迫功率振荡的在线监测分析方法。如果原动机不是强迫扰动源,发电机组因响应外界扰动而处于振荡过程中时,机械功率的波动相位滞后于电气功率的波动相位。由于引进PMU实测数据,所提方法可实现各个发电机组独立分析、相互解耦,避免了引入全网模型带来的分析误差和可靠性降低,减少了在线监测分析的复杂程度。实际算例表明,所提方法能有效判断同步发电机是否为强迫功率振荡源,为低频振荡的分析、控制提供可靠参考。
彊迫功率振盪源的在線定位對電網安全穩定運行具有至關重要的作用。基于相量測量裝置(phasor measurement unit,PMU)的實測數據和同步髮電機轉子運動方程,給齣振盪過程中髮電機機械輸入功率波動的計算方法。通過對振盪過程中髮電機機械輸入功率波動、電氣輸齣功率波動、轉速(頻率)波動的相位關繫的理論分析,給齣彊迫功率振盪的在線鑑測分析方法。如果原動機不是彊迫擾動源,髮電機組因響應外界擾動而處于振盪過程中時,機械功率的波動相位滯後于電氣功率的波動相位。由于引進PMU實測數據,所提方法可實現各箇髮電機組獨立分析、相互解耦,避免瞭引入全網模型帶來的分析誤差和可靠性降低,減少瞭在線鑑測分析的複雜程度。實際算例錶明,所提方法能有效判斷同步髮電機是否為彊迫功率振盪源,為低頻振盪的分析、控製提供可靠參攷。
강박공솔진탕원적재선정위대전망안전은정운행구유지관중요적작용。기우상량측량장치(phasor measurement unit,PMU)적실측수거화동보발전궤전자운동방정,급출진탕과정중발전궤궤계수입공솔파동적계산방법。통과대진탕과정중발전궤궤계수입공솔파동、전기수출공솔파동、전속(빈솔)파동적상위관계적이론분석,급출강박공솔진탕적재선감측분석방법。여과원동궤불시강박우동원,발전궤조인향응외계우동이처우진탕과정중시,궤계공솔적파동상위체후우전기공솔적파동상위。유우인진PMU실측수거,소제방법가실현각개발전궤조독립분석、상호해우,피면료인입전망모형대래적분석오차화가고성강저,감소료재선감측분석적복잡정도。실제산례표명,소제방법능유효판단동보발전궤시부위강박공솔진탕원,위저빈진탕적분석、공제제공가고삼고。
Online detection of forced power oscillation source plays a crucial role in safe operation of power systems. Based on phasor measurement unit (PMU) measurements and swing equations of synchronous generator, this paper proposed a method to calculate the fluctuation component of generator unit’s mechanical power in the process of low frequency oscillation. By analysing the phasor relationship among mechanical input, electric output, and rotor speed (frequency), this paper proposed an online method for forced power oscillation detection. If a generation unit is not a forced oscillation source, and it is oscillating simply responding to external disturbance, then the phase angle of mechanical power fluctuation lags electrical power fluctuation. The proposed method is independent of power system model. Interactions among different generation units are decoupled by the adoption of PMU measurements, thus, errors introduced by power system model can be avoided, and moreover, the complexity of analysis algorithm is greatly reduced. Actual examples recorded by wide-area measurement system (WAMS) show that, the method is effective to determine whether the monitored generator is a source of forced oscillation or not.