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Support vector machine based high speed protection relay for EHV/UHV transmission line

Ravishankar, K and Thukaram, D (2012) Support vector machine based high speed protection relay for EHV/UHV transmission line. In: 2012 2nd International Conference on Power, Control and Embedded Systems (ICPCES), 17-19 Dec. 2012, Allahabad, Uttar Pradesh, India.

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Official URL: http://dx.doi.org/10.1109/ICPCES.2012.6508067


This paper presents a fast and accurate relaying technique for a long 765kv UHV transmission line based on support vector machine. For a long EHV/UHV transmission line with large distributed capacitance, a traditional distance relay which uses a lumped parameter model of the transmission line can cause malfunction of the relay. With a frequency of 1kHz, 1/4th cycle of instantaneous values of currents and voltages of all phases at the relying end are fed to Support Vector Machine(SVM). The SVM detects fault type accurately using 3 milliseconds of post-fault data and reduces the fault clearing time which improves the system stability and power transfer capability. The performance of relaying scheme has been checked with a typical 765kV Indian transmission System which is simulated using the Electromagnetic Transients Program(EMTP) developed by authors in which the distributed parameter line model is used. More than 15,000 different short circuit fault cases are simulated by varying fault location, fault impedance, fault incidence angle and fault type to train the SVM for high speed accurate relaying. Simulation studies have shown that the proposed relay provides fast and accurate protection irrespective of fault location, fault impedance, incidence time of fault and fault type. And also the proposed scheme can be used as augmentation for the existing relaying, particularly for Zone-2, Zone-3 protection.

Item Type: Conference Paper
Publisher: IEEE
Additional Information: Copyright of this article belongs to IEEE.
Keywords: Electromagnetic Transients Program (EMTP); UHV Transmission Line Protection; Support Vector Machine (SVM)
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 02 Jul 2013 06:46
Last Modified: 02 Jul 2013 06:46
URI: http://eprints.iisc.ac.in/id/eprint/46534

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