Faulted-Phase Identification in TCSC-Compensated Transmission Lines using Concordance Correlation Coefficient-Based Method

Abstract

Fast fault detection in the Thyristor-controlled series capacitors “TCSC” compensated transmission line is the most challenging for many of the conventional fault detection methods. This paper proposes a new algorithm for fast fault identification in TCSC-compensated line based on concordance correlation of the current signals during the fault interval with corresponding current signals at the pre-fault interval. It is observed that the concordance correlation of the current signals at the present state with the same current signals at the previous state (just a few-cycle past) is very-strong during the health state and very weak when there is a fault state. Based on this and with the assistance of the cumulative approach, a fault detection index “$\mathit{Cdx}$” has been achieved. The proposed method has been tested through different fault circumstances including different compensation levels of TCSC device. Also, the proposed algorithm has been verified successfully with close in fault, high impedance fault, different sampling frequency, sudden load switching, load flow change and multi-machine system. The experimental results shown that the proposed method is good in terms of time response regardless of the compensation level, and therefore it is more efficient for series-compensated transmission lines protection.

Keywords:

• cumulative sum
• correlation coefficient
• compensation level
• high impedance fault
• TCSC-compensated lines
• capacitive operation mode
• inductive operation mode
• fixed series capacitors
• Thyristor Controlled Reactor
• metal oxide varistor

Additional information

Notes on contributors

Mohammed H. H. Musa

Mohammed H. H. Musa was born in Kadugli, Sudan, on May 29, 1981. He received the B.Sc. and M.Sc. degrees in electrical engineering from Sudan University of Science and Technology, Khartoum, Sudan in 2005 and 2010, respectively, and the Ph.D. degree in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 2018. He joined the National Electricity Corporation (NEC), Sudan 2006–2010 and then joined Sudanese Thermal Power Generating Company 2010 up 2021. He worked as assistant professor in college of engineering at Almughtaribeen University 2020–2021. He is currently working with Saudi Electricity Company as a transmission line specialist Engineer. His research interests are in power system stability and control, signal processing and its application in power system, and wide-area protection, power system optimization in the context of smart grids.

Abusabah I. A. Ahmed

Abusabah I. A. Ahmed is assistant professor at the Department of Electrical Engineering, Karary University. He received the M.Sc. degree and Ph.D. degree in Electronic Engineering from University of Electronic Science and Technology of China in 2013 and 2017. Dr. Abu Sabah is now he is teaching neural networks and Embedded Systems design for graduate students, and Control Theory, Automatic Control, Modern Control, Optimal Control. His research area includes robotics control, predictive and adaptive control and neural networks.