Faulty Phase Identification in SSSC-compensated Transmission Lines Connected to a Solar Farm by Analyzing the Fast Walsh-Hadamard Fourier Transform Coefficient of Three-phase Current Signal

Document Type : Original Article

Authors

1 Assistant Professor, Department of Electrical Engineering, Faculty of Engineering & Administrator, Research Institute of Renewable Energy, Arak University, Arak 38156-8-8349, Iran

2 MSc. Student, Department of Electrical Engineering, Karoon Institute of Higher Education, Ahvaz, Iran

Abstract

This work presents a novel and precise method for detecting faulty phases in transmission lines equipped with a Static Series Synchronous Compensator (SSSC). The DC source for supplying active power of the SSSC is connected to a solar farm, serving as a reliable energy supplier inside the system. The dynamic operational mode of SSSC presents a significant problem in accurately detecting fault phases. This study utilizes three-phase current signals of a single terminal. The suggested method employs a novel and robust transform known as the Fast Fourier-Walsh-Hadamard Transform to extract the properties of the faulty phase. The coefficients derived from applying this transform to three-phase current serve as the primary criterion for comparison and assessment. The algorithm outlined in this article is as follows: The estimated coefficients for each phase and the established threshold values for phase and ground faults, along with a flowchart depicting serial processing, will facilitate the identification of the faulty phase(s). The suggested approach can detect all short-circuit and non-ground faults with exceptional precision. The software simulation model of the primary network is executed in MATLAB/Simulink environment, and the proposed algorithm is developed in an m-file in MATLAB. The suggested solution has undergone testing and evaluation in software over 2600 distinct cases. The statistical database for various fault scenarios across several locations, resistances, phases, and durations indicates that the approach demonstrates a 96% accuracy, which is very advantageous compared to other benchmarks.

Keywords

Main Subjects

References

[1]        ÇÖTELİ R. A combined protective scheme for fault classification and identification of faulty section in series compensated transmission lines. Turkish Journal of Electrical Engineering and Computer Sciences. 2013;21(7):1842-56.
[2]        Gawali NU, Hasabe R, Vaidya A. A comparison of different mother wavelet for fault detection & classification of series compensated transmission line. Int. J. Innov. Res. Sci. Technol. 2015 Feb;1(9):57-63.
[3]        Swetapadma A, Mishra P, Yadav A, Abdelaziz AY. A non-unit protection scheme for double circuit series capacitor compensated transmission lines. Electric Power Systems Research. 2017 Jul 1;148:311-25.
[4]        Kapoor G. A protection technique for series capacitor compensated 400 kV double circuit transmission line based on wavelet transform including inter-circuit and cross-country faults. International Journal of Engineering, Science and Technology. 2019 Apr 4;11(2):1-20.
[5]        Abd el-Ghany HA, Elsadd MA, Ahmed ES. A faulted side identification scheme-based integrated distance protection for series-compensated transmission lines. International Journal of Electrical Power & Energy Systems. 2019 Dec 1;113:664-73.
[6]        Swetapadma A, Yadav A, Abdelaziz AY. Intelligent schemes for fault classification in mutually coupled series-compensated parallel transmission lines. Neural Computing and Applications. 2020 Jun;32(11):6939-56.
[7]        Yadav T, Ali S, Kapoor G. A single-end fault identification system for transmission lines connected with DFSC. Multiscale and Multidisciplinary Modeling, Experiments and Design. 2022 Dec;5(4):365-90.
[8]        Dash PK, Samantaray SR, Panda G. Fault classification and section identification of an advanced series-compensated transmission line using support vector machine. IEEE transactions on power delivery. 2006 Dec 26;22(1):67-73.
[9]        Moravej Z, Pazoki M, Abdoos AA. A new approach for fault classification and section detection in compensated transmission line with TCSC. European Transactions on Electrical Power. 2011 Jan;21(1):997-1014.
[10]      Vyas B, Maheshwari RP, Das B. Evaluation of artificial intelligence techniques for fault type identification in advanced series compensated transmission lines. IETE Journal of Research. 2014 Jan 2;60(1):85-91.
[11]      Yashvantrai Vyas B, Maheshwari RP, Das B. Pattern recognition application of support vector machine for fault classification of thyristor controlled series compensated transmission lines. Journal of The Institution of Engineers (India): Series B. 2016 Jun;97:175-83.
[12]      Biswas S, Nayak PK. A new approach for protecting TCSC compensated transmission lines connected to DFIG-based wind farm. IEEE Transactions on Industrial Informatics. 2020 Oct 6;17(8):5282-91.
[13]      Reyes-Archundia E, Gutiérrez-Gnecchi JA, Guerrero-Rodríguez NF, del Carmen Téllez-Anguiano A, Méndez-Patiño A, Salazar-Torres JA. Impact of TCSC on directionality of traveling waves to locate faults in transmission lines. IEEE Latin America Transactions. 2021 Jan;19(01):147-54.
[14]      Mohanty SK, Nayak PK, Bera PK, Alhelou HH. An enhanced protective relaying scheme for TCSC compensated line connecting DFIG-Based wind farm. IEEE Transactions on Industrial Informatics. 2023 Sep 7.
[15]      El-Zonkoly AM, Desouki H. Wavelet entropy based algorithm for fault detection and classification in FACTS compensated transmission line. International Journal of Electrical Power & Energy Systems. 2011 Oct 1;33(8):1368-74.
[16]      Liu Q, Chang YY, Xu Y. Fault Position Identification for Series Compensated Lines with SSSC Based on Improved Wavelet Packet Entropy. Advanced Materials Research. 2012 Feb 3;383:5200-5.
[17]      Geethanjali M, Anju Alias M, Karpaga Senthil Pandy T. Discrete wavelet transform based fault detection and classification in a static synchronous series compensated transmission system. InProceedings of the Third International Conference on Soft Computing for Problem Solving: SocProS 2013, Volume 1 2014 (pp. 85-94). Springer India.
[18]      Reyes-Archundia E, Guardado JL, Morenogiytia EL, Gutierrez-Gnecchi JA, Martinez-Cardenas F. Fault detection and localization in transmission lines with a static synchronous series compensator. Advances in Electrical and Computer Engineering. 2015 Jan 1;15(3):17-22.
[19]      Almomani MM, Algharaibeh SF. Modelling and testing of a numerical pilot distance relay for compensated transmission lines. International Journal of Scientific Research and Engineering Development. 2020;3(6):776-86.
[20]      Gururaja Rao HV, Prabhu N, Mala RC. Wavelet transform-based protection of transmission line incorporating SSSC with energy storage device. Electrical Engineering. 2020 Sep;102:1593-604.
[21]      Hamood MT, Boussakta S. Fast walsh–hadamard–fourier transform algorithm. IEEE Transactions on Signal Processing. 2011 Jul 25;59(11):5627-31.
Journal of sustainable Energy Systems
Volume 4, Issue 1
January 2025
Pages 43-67

Files

Share

How to cite

Statistics