Transmission lines' fault detection using syntactic pattern recognition

被引:26
作者
Pavlatos, Christos [1 ]
Vita, Vasiliki [2 ]
Dimopoulos, Alexandros C. [3 ]
Ekonomou, Lambros [2 ]
机构
[1] Hellen Air Force Acad, Dept Comp Sci, Dekelia Air Base Tatoi 14451, Acharnes, Greece
[2] Sch Pedag & Technol Educ, Dept Elect & Elect Engn Educators, ASPETE, Iraklion 14121, Greece
[3] Harokopio Univ Athens, Dept Informat & Telemat, 9 Omirou St, Tavros 17778, Greece
来源
ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS | 2019年 / 10卷 / 02期
关键词
Fault detection; Transmission lines; Power system waveforms; FPGA and syntactic pattern recognition; WAVELET TRANSFORM; CLASSIFICATION; LOGIC; SCHEME;
D O I
10.1007/s12667-018-0284-x
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper, an efficient hardware relay is presented that is implemented based on syntactic pattern recognition techniques. The proposed system is capable of detecting faults existing at power system waveforms in s, after reading each peak of the examined signal, aiming to reduce or even to totally prevent safety problems and economic losses. In order syntactic pattern recognition methods to be utilized as a recognition tool of waveforms at transmission lines, the tasks of selecting appropriate primitive patterns, determining the linguistic representation and forming a suitable grammar, should be developed. In this study, attribute grammars have been selected to model the examined signals due to their power to describe syntactic and semantic knowledge. The hardware implementation of the suggested relay, that stands on Earley's parsing algorithm, is developed using Verilog hardware description language, downloaded on a Virtex 7 XILINX FPGA board and evaluated through real waveforms and data received from IPTO. The obtained results have shown that the presented system could be an efficient alternative tool in the field of transmission lines' fault detection.
引用
收藏
页码:299 / 320
页数:22
相关论文
共 35 条
  • [1] CHIANG Y, 1929, TPAMI, V6, P302, DOI DOI 10.1109/TPAMI.1984.4767522
  • [2] CHOMSKY N, 1956, IRE T INFORM THEOR, V2, P113
  • [3] Fuzzy-logic-based fault classification scheme for digital distance protection
    Das, B
    Reddy, JV
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2005, 20 (02) : 609 - 616
  • [4] A platform for the automatic generation of attribute evaluation hardware systems
    Dimopoulos, Alexandros C.
    Pavlatos, Christos
    Papakonstantinou, George
    [J]. COMPUTER LANGUAGES SYSTEMS & STRUCTURES, 2010, 36 (02) : 203 - 222
  • [5] AN EFFICIENT CONTEXT-FREE PARSING ALGORITHM
    EARLEY, J
    [J]. COMMUNICATIONS OF THE ACM, 1970, 13 (02) : 94 - &
  • [6] An Improved Context-Free Recognizer
    Graham, Susan L.
    Harrison, Michael
    Ruzzo, Walter L.
    [J]. ACM Transactions on Programming Languages and Systems, 1980, 2 (03): : 415 - 462
  • [7] Neural Network Based Early Warning System for an Emerging Blackout in Smart Grid Power Networks
    Gupta, Sudha
    Kazi, Faruk
    Wagh, Sushama
    Kambli, Ruta
    [J]. INTELLIGENT DISTRIBUTED COMPUTING, 2015, 321 : 173 - 183
  • [8] Hopcroft J E., 1969, Formal Languages and Their Relation to Automata
  • [9] A Decision Tree-Based Method for Fault Classification in Double-Circuit Transmission Lines
    Jamehbozorg, A.
    Shahrtash, S. M.
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2010, 25 (04) : 2184 - 2189
  • [10] Jinglin Xu, 2012, International Journal of Power Electronics, V4, P134, DOI 10.1504/IJPELEC.2012.045628