A novel traveling wave fault location method for transmission network based on time linear dependence

被引:13
作者
Yu, Kun [1 ]
Zeng, Jupeng [1 ]
Zeng, Xiangjun [1 ]
Liu, Feng [1 ]
Zu, Yarui [1 ]
Yu, Quan [1 ]
Zhuo, Chao [1 ]
机构
[1] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China
基金
中国国家自然科学基金;
关键词
Transmission network; Fault location; Traveling wave; Multi-point linear fitting; Proximal point optimization algorithm; ALGORITHM; GPS;
D O I
10.1016/j.ijepes.2020.106608
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Transmission network faults may not be located accurately in some abnormal conditions, such as traveling wave location device faults, startup failure and time recording error. In order to improve them, a novel traveling wave fault location method based on time linear dependence is proposed. The proximal point optimization algorithm (PPOA) is used to find the shortest transmission path of fault traveling wave. The linear fitting between the arrival time of the traveling wave head recorded by each substation and the transmission distance is made on the Cartesian coordinate plane, according to the characteristic that the length of the shortest path is directly proportional to the traveling wave transmission time. The information fusion for the traveling wave arrival time at each substation is achieved by linear regression analysis to correct the error information. The accurate fault location is obtained direct by coordinate information of the intersection of the fitted line and the coordinate axis. Finally, the traveling wave location system based on this method has been successfully tested in Hunan Power Grid. PSCAD simulation and field test results prove that the proposed method can effectively reduce the recording error in the arrival time of the fault traveling wave at each substation while improving the reliability and accuracy of fault location.
引用
收藏
页数:15
相关论文
共 30 条
[1]   Transmission line fault location using traveling wave frequencies and extreme learning machine [J].
Akmaz, Duzgun ;
Mamis, Mehmet Salih ;
Arkan, Muslum ;
Tagluk, Mehmet Emin .
ELECTRIC POWER SYSTEMS RESEARCH, 2018, 155 :1-7
[2]   Two-Terminal Algorithm Analysis for Unsymmetrical Fault Location on 110 kV Lines [J].
Bukvisova, Zuzana ;
Orsagova, Jaroslava ;
Topolanek, David ;
Toman, Petr .
ENERGIES, 2019, 12 (07)
[3]   Decision tree aided travelling wave based fault section identification and location scheme for multi-terminal transmission lines [J].
Chaitanya, B. K. ;
Yadav, Anamika .
MEASUREMENT, 2019, 135 :312-322
[4]   Time Synchronization for Transmission Substations Using GPS and IEEE 1588 [J].
Crossleye, Peter A. ;
Guo, Hao ;
Ma, Zhao .
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2016, 2 (03) :91-99
[5]   Impedance-Based Fault Location in Transmission Networks: Theory and Application [J].
Das, Swagata ;
Santoso, Surya ;
Gaikwad, Anish ;
Patel, Mahendra .
IEEE ACCESS, 2014, 2 :537-557
[6]   Novel Traveling Wave Location Algorithm for Transmission Network Based on Information Fusion Technology [J].
Deng Feng ;
Zeng Xiangjun ;
Yuan Chao ;
Qin Xiao'an ;
Wu Zhihua .
International Conference on Intelligent Computation Technology and Automation, Vol 1, Proceedings, 2008, :1091-1095
[7]   Distributed Traveling-Wave-Based Fault-Location Algorithm Embedded in Multiterminal Transmission Lines [J].
Ding, Jiali ;
Wang, Xin ;
Zheng, Yihui ;
Li, Lixue .
IEEE TRANSACTIONS ON POWER DELIVERY, 2018, 33 (06) :3045-3054
[8]   Traveling Wave Based Single-Phase-to-Ground Protection Method for Power Distribution System [J].
Dong, Xinzhou ;
Wang, Jun ;
Shi, Shenxing ;
Wang, Bin ;
Dominik, Bak ;
Redefern, Miles .
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2015, 1 (02) :75-82
[9]   Wide area measurements based fault detection and location method for transmission lines [J].
Fan, Wen ;
Liao, Yuan .
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2019, 4 (01)
[10]   A Novel HVDC Double-Terminal Non-Synchronous Fault Location Method Based on Convolutional Neural Network [J].
Lan, Sheng ;
Chen, Mou-Jie ;
Chen, Duan-Yu .
IEEE TRANSACTIONS ON POWER DELIVERY, 2019, 34 (03) :848-857