基于改进形态滤波器和弧长差分序列的微电网电能质量扰动定位与识别

发布时间：2018-01-10 20:24

本文关键词：基于改进形态滤波器和弧长差分序列的微电网电能质量扰动定位与识别　出处：《电工技术学报》2017年17期 　论文类型：期刊论文

【摘要】：针对强噪声背景下微电网电能信号扰动定位和识别困难的问题,提出一种基于改进形态滤波器和弧长差分序列的扰动定位与识别方法。首先,将交替混合形态滤波器中的膨胀和腐蚀函数改进为均值膨胀和均值腐蚀函数,再对电能扰动信号进行滤波。然后,在分析扰动波形变化规律和三个典型扰动算例的基础上,定义并计算滤波后扰动信号的弧长差分序列。最后,利用弧长差分序列定位准确扰动时间,从弧长差分序列和滤波后信号中提取幅值特征和波峰特征,输入到已定义识别规则的扰动识别器,实现扰动识别。仿真试验和实际微电网数据试验结果表明,该方法能够精确定位和识别混入不同强度噪声的5种单一扰动和3种复合扰动,适用于实际微电网电能信号扰动的定位与识别。
[Abstract]:Aiming at the difficulty of power signal disturbance location and identification under strong noise, a disturbance location and identification method based on improved morphological filter and arc length difference sequence is proposed. The expansion and corrosion function in the alternating hybrid morphological filter is improved to mean expansion and mean corrosion function, and then the power disturbance signal is filtered. On the basis of analyzing the variation law of disturbance waveform and three typical disturbance examples, the arc length difference sequence of filtered disturbance signal is defined and calculated. Finally, the accurate disturbance time is located by arc length difference sequence. The amplitude feature and peak feature are extracted from the arc length difference sequence and filtered signal, and then input to the disturbance recognizer with defined recognition rules to realize disturbance identification. The simulation results and the actual microgrid data test results show that the proposed method is effective. This method can accurately locate and identify five kinds of single disturbance and three kinds of complex disturbance mixed with different intensity noise, and can be used to locate and identify the disturbance of power signal in microgrid.
【作者单位】：上海海事大学电气自动化系;
【基金】：国家自然科学基金(61503240) 高等学校博士学科点专项科研基金(20123121110003) 上海海事大学研究生创新基金(2016ycx078)资助项目
【分类号】：TM727
【正文快照】： 0引言为保证微电网电能质量优质可靠,需要对因受输电线路故障、大功率负荷投切、电力电子装置等干扰而在微电网中出现的扰动进行高效准确地时间定位与类型识别。但是,微电网的电能采样信号中通常混有强噪声,如工作环境中充斥大量强噪声的船舶微电网。所以,在强噪声背景下快速

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