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作 者:张大兴 黄泽荣 李贤靓 尹星光 蔡冰子 田明明 Zhang Daxing;Huang Zerong;Li Xianliang;Yin Xingguang;Cai Bingzi;Tian Mingming(Huizhou Power Supply Bureau of Guangdong Power Grid Corporation,Huizhou,Guangdong 516003,China;Beijing PROEE Electronics Co.,Ltd.,Beijing 100070,China)
机构地区:[1]广东电网有限责任公司惠州供电局,广东惠州516003 [2]北京普锐电子有限公司,北京100070
出 处:《机电工程技术》2023年第4期168-172,共5页Mechanical & Electrical Engineering Technology
基 金:南方电网公司科技项目资助(编号:031300KK52190162(GDKJXM20199216))。
摘 要:随着电网中电缆的大规模使用,电缆状态监测和故障识别对于电网安全运行变得尤为重要。针对实际电缆带电检测或在线监测场景下的高噪声或强干扰情况,提出了一种基于电力线载波通信的电缆故障识别和定位算法。该方法在待测电缆一端注入载波通信中常用的前导码序列,同时采集电缆中的反射信号,并利用多径迭代分析算法提取反射路径数量、强度、到达时间等信息,实现电缆故障识别、故障类型/程度判断以及故障定位。由于前导码序列良好的自相关性能,所提出的电缆故障识别算法具有较强的抗噪声和干扰性能。通过仿真分析表明,所提算法在信噪比为-5 dB左右时故障识别准确率可达100%,故障定位均方根误差收敛到误差平台。此外,利用前两径的到达时间降低系统采样率对故障定位影响,相比传统方法定位精度可提升约60%。With the large-scale use of cables in power grid,cable status monitoring and fault identification become particularly important for the power grid safe.Considering the high noise or strong interference in real on-line monitoring scenarios,a cable fault identification and location algorithm based on power line communication was proposed.The method injected the preamble sequence used in power carrier communication into one end of the cable,and collected the reflected signal in the cable at the same time.Information such as the number,intensity and arrival time of reflection paths were extracted from the reflected preamble by a multi-path iterative analysis algorithm,to realize fault identification,fault type/degree judgement,and fault location.Due to the good auto-correlation performance of the preamble,the proposed cable fault detection algorithm had strong anti noise and interference performance.Simulation shows that fault identification accuracy of proposed algorithm can reach 100%,and the root mean square error of fault location converges to a error platform,even in low SNR of-5 dB.Besides,the influence of sampling frequency can be reduced by using arrival time of the first two reflection paths,and the location accuracy can be further improved about 60%compared with traditional methods.
分 类 号:TM73[电气工程—电力系统及自动化] TN913[电子电信—通信与信息系统]
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