Time-frequency transform approach for protection of parallel transmission lines

被引:48
作者
Dash, P. K. [1 ]
Samantaray, S. R.
Panda, G.
Panigrahi, B. K.
机构
[1] Ctr Res Elect Elect & Comp Engn, Bhubaneswar, Orissa, India
[2] Ind Technol Inst, Delhi, India
关键词
D O I
10.1049/iet-gtd:20050459
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
A new approach for protection of parallel transmission lines is presented using a time-frequency transform known as the S-transform that generates the S-matrix during fault conditions. The S-transform is an extension of the wavelet transform and provides excellent time localisation of voltage and current signals during fault conditions. The change in energy is calculated from the S-matrix of the current signal using signal samples for a period of one cycle. The change in energy in any of the phases of the two lines can be used to identify the faulty phase based on some threshold value. Once the faulty phase is identified the differences in magnitude and phase are utilised to identify the faulty line. For similar types of simultaneous faults on both the lines and external faults beyond the protected zone, where phasor comparison does not work, the impedance to the fault point is calculated from the estimated phasors. The computed phasors are then used to trip the circuit breakers in both lines. The proposed method for transmission-line protection includes all 11 types of shunt faults on one line and also simultaneous faults on both lines. The robustness of the proposed algorithm is tested by adding significant noise to the simulated voltage and current waveforms of a parallel transmission line. A laboratory power network simulator is used for testing the efficacy of the algorithm in a more realistic manner.
引用
收藏
页码:30 / 38
页数:9
相关论文
共 50 条
[21]   The time-frequency analysis approach of electric noise based on the wavelet transform [J].
Dai, YS .
SOLID-STATE ELECTRONICS, 2000, 44 (12) :2147-2153
[22]   Identification of Lightning Strikes on Transmission Lines Based on Time-frequency Joint Analysis [J].
Chen, Xu ;
Zhu, Yongli ;
Zhao, Xuesong ;
Zhao, Lei ;
Guo, Xiaohong ;
Gao, Yanfeng .
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS RESEARCH AND MECHATRONICS ENGINEERING, 2015, 121 :823-826
[23]   Enhancing Time-Frequency Concentration and Accuracy Using an Improved Time-Frequency Synchrosqueezing Transform [J].
Yang, Yaocheng ;
Zhang, Jialiang ;
Li, Yifan ;
Ni, Qing ;
Wang, Biao .
IEEE SENSORS JOURNAL, 2024, 24 (23) :39334-39343
[24]   An improved differential protection scheme for micro-grid using time-frequency transform [J].
Chaitanya, B. K. ;
Yadav, Anamika ;
Pazoki, Mohammad .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2019, 111 :132-143
[25]   Time-frequency localization for the short time Fourier transform [J].
Lamouchi, H. ;
Omri, S. .
INTEGRAL TRANSFORMS AND SPECIAL FUNCTIONS, 2016, 27 (01) :43-54
[26]   Time-frequency transform based on frequency-to-time mapping and filtering [J].
Chen, Yang .
SEMICONDUCTOR LASERS AND APPLICATIONS XIII, 2023, 12761
[27]   Simulation of Distance Protection for Parallel Transmission Lines [J].
AL-Mahrooqi, Mohammed ;
AL-Yaqoubi, Mahnd ;
AL-Ghafri, Haitham ;
AL-Saadi, Mohammed ;
Soliman, Hisham ;
Elhaffar, Abdelsalam .
2017 9TH IEEE-GCC CONFERENCE AND EXHIBITION (GCCCE), 2018, :1081-1084
[28]   A clustering approach using a time-frequency entropy measure of wavelet transform coefficients [J].
Dizaji, RM ;
Kirlin, RL ;
Kaufhold, B .
IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, :1763-1765
[29]   Time-frequency analysis for the multidimensional Gabor Transform [J].
Ahmed Chana ;
Abdellatif Akhlidj .
ANNALI DELL'UNIVERSITA' DI FERRARA, 2025, 71 (1)
[30]   Time-frequency analysis and wavelet transform and their applications [J].
Sun, Yun-Lian ;
Liu, Dun-Min .
Wuhan Daxue Xuebao (Gongxue Ban)/Engineering Journal of Wuhan University, 2003, 36 (02)