基于经验小波变换的电晕电流降噪方法

发布时间：2018-03-13 10:42

本文选题：特高压直流输电　切入点：电晕电流　出处：《电网技术》2017年02期 　论文类型：期刊论文

【摘要】：随着电压等级升高和输电距离增加,在特高压直流输电线路上因电晕电流引起的电能损失和环境问题更加严重。深入分析电晕电流特性,对抑制电晕效应、实现长距离高效输电具有重要意义。电晕电流的复杂性导致时域和频域特性分析面临诸多困难,因此提出了基于经验小波变换的电晕电流降噪方法。首先,针对超长实测电晕电流数据,提出分段经验小波变换;其次,根据电晕电流的复杂频谱特性,提出了改进的频谱极大值搜索方法;最后,结合分段经验小波变换的分解结果,重构出了降噪后的电晕电流。实验结果表明,提出方法可以有效地抑制不同电压等级下实测电晕电流中的多种噪声成分,实现超长电晕数据的高效降噪处理,为电晕电流特性研究提供了崭新方法,为准确计算电能损失、探索电晕放电规律提供理论和技术支撑。
[Abstract]:With the increase of voltage level and transmission distance, the loss of electric energy and environmental problems caused by corona current on UHVDC transmission lines become more serious. The complexity of corona current makes it difficult to analyze the characteristics of time domain and frequency domain, so a corona current de-noising method based on empirical wavelet transform is proposed. A piecewise empirical wavelet transform is proposed for ultra-long measured corona current data. Secondly, according to the complex spectrum characteristics of corona current, an improved method for searching the maximum value of the spectrum is proposed. Finally, the decomposition result of the piecewise empirical wavelet transform is combined with the decomposition result of the piecewise empirical wavelet transform. The corona current after noise reduction is reconstructed. The experimental results show that the proposed method can effectively suppress the various noise components in the corona current measured at different voltage levels, and realize the efficient noise reduction of the corona data with very long length. It provides a new method for the study of corona current characteristics and provides theoretical and technical support for accurate calculation of electric energy loss and exploration of corona discharge law.
【作者单位】：北京航空航天大学自动化科学与电气工程学院;中国电力科学研究院;
【基金】：国家自然科学基金项目(51207005) 北京市自然科学基金项目(3163038) 国家电网公司科技项目(GYB17201400185)~~
【分类号】：TM721.1

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