摘要
针对传统配电网行波故障定位方法中行波信号复杂,波头难以准确识别的问题,提出一种基于自适应噪声完备集合经验模态分解方法(CEEMDAN)和改进Teager能量算子(NTEO)的配电网行波故障定位方法。该方法采用CEEMDAN对初始行波信号进行降噪和分解,并通过NTEO增强高频分量的故障特征从而得到瞬时能量图谱,根据瞬时能量峰值精确标定初始行波波头达到时间,实现快速准确的故障定位。Pscad/Matlab仿真结果表明,所提方法能够适应不同故障类型和过渡电阻,准确进行故障测距,测距误差均在2%以内,相较于传统EMD方法具有更高的定位精度和更快的计算速度。
The wave head is difficult to identify because of the complexity of traveling wave signals in distribution networks.Therefore,this paper proposes a fault location method for distribution networks based on complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)and novel Teager energy operator(NTEO).Firstly,the CEEMDAN is used to denoise and decompose initial traveling wave signals,and fault characteristics of high-frequency components are enhanced by NTEO.Then,the initial traveling wave head reach time is accurately calibrated according to the instantaneous energy peak,thus the rapid and accurate fault location can be realized.Finally,Pscad/Matlab simulation results show that the proposed method can accurately locate faults with good adaptability to different fault types and transition resistances,and the ranging error can be controlled within 1%.Besides,compared with the traditional EMD method,it has higher location accuracy and faster calculation speed.
作者
马晓锋
安军
高志强
任秉珍
龙强
雷霞
王涛
MA Xiaofeng;AN Jun;GAO Zhiqiang;REN Bingzhen;LONG Qiang;LEI Xia;WANG Tao(Longnan Power Supply Company,State Gard Gansu Electric Power Company,Longnan 746099,China;School of Electrical Engineeringand Electronic Information,Xihua University,Chengdu 610039,China)
出处
《电力科学与技术学报》
CAS
CSCD
北大核心
2023年第6期87-95,共9页
Journal of Electric Power Science And Technology
基金
国网甘肃省电力公司科技项目(5227122000J6)
国家自然科学基金(51877181)。
