摘要
当前的煤矿井下柔性直流输电系统短路故障识别方法没有提取供电系统的电力信号特征,导致故障识别精度较低与故障识别性能较差。为了解决这一问题,提出煤矿井下柔性直流输电系统短路故障识别方法。首先,利用经验小波变换提取煤矿井下柔性直流输电系统短路故障特征量;其次,根据故障特征量提取结果构建电力相关矩阵,进而获取电力运行状态;最后,融合电力相关数据得出电力短路故障发生的概率,即为短路故障识别结果,实现煤矿井下柔性直流输电系统短路故障识别。实验结果表明,所提方法的故障识别精度高和故障识别性能好,可以在实际中进一步推广。
The current short circuit fault identification methods for underground flexible DC transmission systems in coal mines do not extract the power signal characteristics of the power supply system,resulting in low fault identification accuracy and poor fault identification performance.In order to solve this problem,a short circuit fault identification method for underground flexible DC transmission system in coal mine was proposed.Firstly,the short circuit fault characteristics of underground flexible DC transmission system in coal mine were extracted by using empirical wavelet transform;Secondly,the power correlation matrix was constructed according to the fault feature extraction results,and then the power operation state was obtained;Finally,the probability of electric short circuit fault was obtained by fusing relevant electric power data,which was the result of short circuit fault identification,and the short circuit fault identification of underground flexible DC transmission system in coal mine was realized.The experimental results showed that the proposed method had high fault identification accuracy and good fault identification performance,which could be further promoted in practice.
作者
徐磊
周昊程
卢逢婷
Xu Lei;Zhou Haocheng;Lu Fengting(Jiangsu Electric Power Information Technology Co.,Ltd.,Nanjing 210024,China)
出处
《能源与环保》
2022年第12期220-224,共5页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
2020年度江苏省重点研发计划(2020SDZY04)。
关键词
煤矿井下
柔性直流输电系统
故障识别
小波变换
特征提取
数据融合
underground coal mine
flexible DC transmission system
fault identification
wavelet transform
feature extraction
data fusion
作者简介
徐磊(1974-),男,江苏南京人,高级工程师,研究方向为电力信息化;通讯作者:周昊程(1990-),男,江苏南京人,工程师,硕士研究生,研究方向为电力信息化。
