SVM based zonal setting of Mho relay for shunt compensated transmission line |
| |
| Affiliation: | 1. CSIRO Mineral Resources, PO Box 7229, Karawara, Western Australia 6152, Australia;2. CSIRO Oceans and Atmosphere, Hobart, Tasmania 7000, Australia;3. CSIRO Land and Water, Underwood Avenue, Floreat, WA 6014, Australia;1. Molecular Medicine Department, Pasteur Institute of Iran, Tehran, Iran;2. National Cell Bank of Iran, Pasteur Institute of Iran, Tehran, Iran;3. Medical Genetics Department, Tehran University of Medical Sciences, Tehran, Iran;4. Genetics Research Center, University of Social Walfare and Rehabilitation Sciences, Tehran, Iran;5. Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran;6. Department of Pathology, Hasheminejad kidney Center, Iran University of Medical Sciences, Tehran, Iran;7. Department of Urology, Hasheminejad kidney Center, Iran University of Medical Sciences, Tehran, Iran;1. Department of Chemistry, Simon Fraser University, Burnaby, British Columbia, Canada;2. Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, British Columbia, Canada |
| |
| Abstract: | Presence of shunt FACTS (Flexible Alternating Current Transmission System) device significantly affect the performance of protection system and may create security and reliability issues. This paper introduces a novel approach for zone identification in transmission line employing shunt FACTS devices such as Static Var Compensator (SVC) and Static Synchronous Compensator (STATCOM). The technique depends on the modified apparent impedance seen by the impedance relay for all possible operating conditions. In this technique the Support Vector Machine (SVM) is used for discriminating faulty zone (zone 1 or zone 2). In addition an optimization technique viz. Genetic Algorithm (GA) is used to optimize SVM parameters. A typical 230 kV system was simulated in PSCAD/EMTP software and the results show that the proposed scheme is secure, accurate and reliable under the wide variation in power system parameters like load angle, fault resistance, fault location, inception angle and compensation level. |
| |
| Keywords: | Genetic Algorithm Mho relay Shunt FACTS device Support Vector Machine Transmission line protection Zone setting |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
