摘要
针对井下综保器采用的全波傅氏保护算法在处理含直流衰减分量的信号时存在的精度问题,从全波傅氏算法原理出发,对造成其运算误差的成因进行分析。采用数值积分算法对一个基波周期内的采样数据进行求和,获得直流衰减分量的DFT值,并将该部分从采样信号的DFT值中消除,从而减小运算误差。运用MATLAB仿真软件,研究全波傅氏算法和改进傅氏算法在处理同一故障信号时得到的故障信号基波及各次谐波的幅值与相位。结果说明,改进傅氏算法能够有效滤除故障信号中直流衰减分量部分,获得更为精确的基波及各次谐波的幅值与相位,从而提高井下综保器动作的可靠性。
On account of the accuracy problems when the full-wave Fourier algorithm adopted by underground coal mine protector disposes signals including decaying DC component,this paper analyzed the causes of errors aroused by its operations based on the principle of full-wave Fourier algorithm. It summarized sampling data in one cycle of the fundamental wave using numerical integration algorithm to gain the DFT values of decaying DC component and eliminate it so as to reduce the computing error. The paper analyzed and compared the amplitude and phase of the fundamental and each harmonic wave when the full-wave Fourier algorithm and the improved Fourier algorithm process the same fault signal utilizing MATLAB. The result shows that the improved algorithm can effectively filter out decaying DC component of the fault signal to obtain a more precise amplitude and phase of fundamental and each harmonic waves,thereby improving the reliability of the underground coal mine protector.
出处
《电器与能效管理技术》
2016年第8期46-51,共6页
Electrical & Energy Management Technology
基金
河南省科技攻关项目(112102210004)
关键词
井下综保器
改进傅氏算法
直流衰减分量
供电可靠性
underground coal mine protector
improved Fourier algorithm
decaying DC component
reliability of power supply
