In this study, the problem of fault zone detection of distance relaying in FACTS-based transmission lines is analyzed. Existence of FACTS devices on the transmission line, when they are included in the fault zone, from the distance relay point of view, causes different problems in determining the exact location of the fault by changing the impedance seen by the relay. The extent of these changes depends on the parameters that have been set in FACTS devices. To solve the problem associated with these compensators, two instruments for separation and analysis of three-line currents, from the relay point of view at fault instance, have been utilized. The wavelet transform was used to separate the high-frequency components of the three-line currents, and the support vector machine (using methods for multi-class usage) was used for classification of fault location into three protection regions of distance relay. Besides, to investigate the effects of TCSC location on fault zone detection of distance relay, two places, one in fifty percent of line length and the other in seventy-five percent of line length, have been considered as two scenarios for confirmation of the proposed method. Simulations indicate that this method is effective in the protection of FACTS-based transmission lines.
An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids
Department of Electrical and Computer Engineering, University of Toronto(多伦多大学电气与计算机工程系);Electric Power Engineering Department, Cairo University(开罗大学电力工程系);Department of Electrical Engineering, Khalifa University(哈利法大学电气工程系);Concordia Institute for Information Systems Engineering (CIISE), Concordia University(康卡迪亚大学信息系统工程研究所)
Fault Inception Detection in Real-World Disturbance Data for Power System Protection
Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg(弗赖德里希·亚历山大埃尔朗根-纽伦堡大学模式识别实验室);Institute of Electrical Energy Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg(弗赖德里希·亚历山大埃尔朗根-纽伦堡大学电气能源系统研究所);Department of Electrical Engineering, Media and Computer Science, Ostbayerische Technische Hochschule Amberg-Weiden(阿默格-魏登东巴伐利亚应用技术大学电气、媒体与计算机科学系)