摘要
实现电力系统自动化的过程中,数据采集是一个重要因素,交流采样实时性好,效率高,相位失真小,逐步成为电力系统主要的数据采集方式。但交流采样数据采集过程中存在多次谐波干扰,影响数据采集的精度与稳定,提出了一种基于FASTICA算法的交流采样信号分离方法,经数据分析和处理表明,该算法有效地还原了各次谐波,减小了工频失真度,提高了数据的采集精度,为数据采集设备提供了合理的测试方案。
The process of power system automation, data acquisition is an important factor in the exchange of real-time sampling. Good sampling, high efficiency, small phase distortion gradually becomes the main power system data acquisition mode, but the exist- ence of repeated harmonic interference in data collection proecess affects the accuracy of data acquisition and stability. This paper presents an algorithm based on the exchange of FASTICA sampling signal separation methods, data analysis and processing shows that the algorithm is an effective in reducing various harmonics, frequency distortion, and in improving the accuracy of the data collection, thus orovidin a reasonable testing program for data collection equipment.
出处
《东北电力技术》
2012年第9期25-28,共4页
Northeast Electric Power Technology
