基于约束模糊聚类的电力系统扰动信号识别方法

传统电力系统扰动信号识别方法只能解决单一扰动问题,无法对多个扰动信号进行高效率识别,为避免传统方法的弊端,提出了基于约束模糊聚类的扰动信号识别方法。计算拟合信号包络平均值,获取拟合信号和包络平均值之差,将差值作为新的拟合信号,获取最小特征尺度分量,不断进行模态分解,可将信号分解成若干个不同特征尺度函数。经过模态分解的信号满足路由信息协议标准,以新的稀疏向量为基础,对混叠的扰动信号进行特征提取。采用傅里叶变换描述扰动信号基本变化情况,计算电力系统中扰动信号的n阶导数,由此获取传输过程中的变换参数,得到采集点空间位置坐标系,依据该坐标系选择最优窗口标准,使用约束模糊聚类方法,将扰动信号全部聚类到中心位置。通过建立权值系数矩阵,设置迭代次数,并进行误差补偿,获取新的聚类中心,对抗噪声扰动信号进行有效识别。由实验结果可知,该方法最高识别精准度可达到98%,为电力系统正常运行提供支持。

Disturbance signal recognition method of power system based on constrained fuzzy clustering

Traditional methods for identifying disturbance signals in power systems can only solve the single disturbance problem,and can not identify multiple disturbance signals efficiently.To avoid the disadvantages of traditional methods,a method for identifying disturbance signals based on constrained fuzzy clustering is proposed.By calculating the envelope average value of the fitting signal,the difference between the fitting signal and the envelope average value is obtained.The difference is used as a new fitting signal to obtain the minimum eigenvalue component.The signal can be decomposed into several different eigenvalue functions by mode decomposition.The signal after mode decomposition meets the routing information prot col standard.Based on the new sparse vector,the aliasing disturbance signal is extracted.Fourier transform is used to describe the basic change of disturbance signal,and the order derivative of disturbance signal in power system is calculated.The transformation parameters in transmission process are obtained.The spatial coordinate system of acquisition points is obtained.Based on the coordinate system,the optimal window criterion is selected,and the disturbance signals are clustered to the central position by the constrained fuzzy clustering method.By establishing weight coefficient matrix,setting iteration times,and error compensation,new clustering centers are obtained to effectively identify the noise disturbance signals.The experimental results show that the maximum recognition accuracy of this method can reach 98%,which provides support for the normal operation of power system.