摘要
提出了自适应跟踪振荡过程的精确计算方法 ,这种算法将差分全波傅里叶算法作为数字滤波器对输入信号进行滤波 ,然后用短数据窗 (3点 )先算出信号的频率 ,进而精确计算出信号的幅值和相位。用此算法求出的Ucosφ数值精度高 ,收敛性好 ,更真实地反映了电力系统振荡过程中发生三相短路时保护安装处电压和电流的变化 ;因此可以大大缩短Ucosφ作为电力系统振荡过程发生三相短路判别元件的动作时间 ,提高整套保护的性能。
The accurate algorithm of Ucos φ adapting to power swing is presented. This algorithm applies differential full-cycle Fourier algorithm as a digit filter to input signal, uses the short window length to firstly calculate the frequency of the signal and then reckons its amplitude and phase. Application of the algorithm ensures that the result of Ucos φ is accurate, convergent and the true expressions of the voltages and currents in the site of relay when power swing and three-phase short-circuit fault happens at the same time. So the time of Ucos φ detecting three-phase short-circuit fault in power swing process is shortened, and the performance of whole protective device is improved. Simulations prove the correctness of this algorithm.
出处
《电力系统自动化》
EI
CSCD
北大核心
2003年第15期63-66,共4页
Automation of Electric Power Systems
