摘要
基于暂态零序电流的小电流接地故障选线法需要用较高的采样频率采集零序电流信号,硬件开销较大。为了降低采样频率,提出了基于稀疏信号重构的小电流接地故障选线法。首先通过稀疏空间变换和重构算法,仅使用部分的数据点即可重构全部的信号数据,从而降低信号采样频率。然后,通过相似性比对完成故障选线。最后基于RTDS系统设计了仿真试验。结果表明,在降低50%的采样率的情况下,故障选线算法具有较高的准确性和鲁棒性。
Fault line selection for small current grounding based on transient zero sequence current has to use quite high sampling frequency to collect zero sequence signal current,thus incurring high hardware overhead.Fault line selection for small current grounding based on sparse signal reconstruction was proposed to reduce the sampling frequency.Firstly,sparse space transform and reconstruction algorithm were adopted so that only partial data points were needed to reconstruct all signal data,thus reducing the sampling frequency.Then,fault line selection was completed through similarity comparison.Simulation experiment was designed on the basis of RTDS.The results indicated that the fault lien selection algorithm proposed in this paper could still achieve high accuracy and robustness even if the sampling rate was reduced by 50%.
作者
侯劲松
仇前生
章莉
俞嘉
陆振坤
王昕
Hou Jinsong;Qiu Qiansheng;Zhang Li;Yu Jia;Lu Zhenkun;Wang Xin(State Grid Anhui Electric Power Co.,Ltd.Wuhu Power Supply Co.,Wuhu Anhui 241000,China;Center of Electrical&Electronic Technology,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《电气自动化》
2020年第1期79-83,共5页
Electrical Automation
关键词
稀疏信号
信号重构
小电流接地
故障选线
RTDS系统
sparse signal
signal reconstruction
small current grounding
fault line selection
RTDS system
作者简介
侯劲松(1969-),男,安徽人,高级工程师,硕士生,从事变电运检相关技术研究与管理工作;仇前生(1982-),男,安徽人,高级工程师,从事继电保护相关研究工作;王昕(1972-),男,辽宁人,副教授,博士,从事变压器、高压断路器、电力备在线检测和监测等方面的研究工作。
