电力系统保护与控制2024，Vol.52Issue(13)：136-148,13.DOI:10.19783/j.cnki.pspc.231197
适用于直流保护的数学形态学降噪与噪声干扰识别方法
Mathematical morphology denoising and interference recognition method for DC protection
摘要
Abstract
The flexible DC transmission system is an important means of adjusting the uneven distribution of energy in China,and DC protection is the key technology to ensure the safety of that system.Traveling wave protection is mostly used as the main protection in existing projects.However,the wide use of traveling wave protection on a flexible DC transmission system is limited by serious noise interference and a difficult wave head extraction process.Given these issues,a mathematical morphology denoising and interference recognition method is proposed.The parameters are designed according to the characteristic of the DC protection sampling signal to realize DC protection sampling signal denoising and interference recognition.First,a denoising method based on adaptive multiscale mathematical morphology filter(AM-MMF)is determined,where the scale of structuring elements,the type of morphology filter,the filter order and step size of AM-MMF are designed.Secondly,an interference recognition method based on morphological gradient(MG)transformation is determined,and threshold values of MG are explored.Then,the comparison of the filter effect between mathematical morphology denoising and typical denoising method is made from different perspectives.Finally,the coordination effect of mathematical morphology denoising and interference recognition with protection scheme is validated.Mathematical morphology denoising and interference recognition has superiority in low sampling frequency,moderate computational requirements,excellent filter effect and excellent suitability for DC protection.关键词
行波保护/自适应多尺度形态滤波/噪声干扰识别/形态学梯度/故障波头捕捉Key words
traveling wave protection/adaptive multiscale mathematical morphology filter/interference recognition/morphological gradient/fault wave head extraction引用本文复制引用
薛士敏,张君婷,李博通,李翔宇..适用于直流保护的数学形态学降噪与噪声干扰识别方法[J].电力系统保护与控制,2024,52(13):136-148,13.基金项目
This work is supported by the Science and Technology Project Managed by the Headquarters of State Grid Corporation of China(No.5500-202199270A-0-0-00). 国家电网有限公司总部管理科技项目资助(5500-202199270A-0-0-00) （No.5500-202199270A-0-0-00）
