Situational Awareness Index Assessment of Transmission Line Using Fault Tree Approach

Abstract—

The wide-area situational awareness attempts to detect the imminent system instability quickly and alerts the operator to initiate appropriate control action. Faults on the transmission line may result in interruption of power and substantial economic losses. Thus, their situational awareness assessment is very much critical, especially when the power sector is targeting reliability of 99.9999%. Phasor measurement units were introduced to increase the operator's situational awareness of the power network. A schematic representation of situational awareness (SA) of transmission line having three hierarchical levels has been developed. Based on the schematic representation which reveals the relationship between the hierarchical levels and the modules, a fault tree has been developed. The situational awareness index (SAI) of individual modules has been allocated based on their relative significance to the preferences of various user classes. With the help of minimal cut set and fault tree approach, the SAI of transmission line has been developed. The proposed work provides a quantitative approach for assessing transmission line SA and, therefore, plays a vital role in the power sector.

Keywords:

• situational awareness
• fault tree approach
• phasor measurement unit
• transmission line
• phaselet algorithm
• Gaussian naive bayes
• minimal cut set
• situational awareness assessment index

Acknowledgement

The authors would like to thank Science and Engineering Research Board (SERB), India for providing the research funding under Early Career Research Award category to carry out the research work. [Grant No. - ECR/2017/000812]

Additional information

Notes on contributors

Kunjabihari Swain

Kunjabihari Swain received the B.Tech. degree in Electronics and Instrumentation Engineering from National Institute of Science and Technology, Berhampur, India, in 2008 and the M.E. degree in Instrumentation and Control from the Birla Institute of Technology, Ranchi, India, in 2014 and Ph.D Engg. degree in 2020. Currently he is an Assistant Professor with the National Institute of Science and Technology, Berhampur India. His current research interests include wide area situational awareness, Internet of Things.

Satya Sopan Mahato

Satya Sopan Mahato received the Ph.D. degree in electronics and communication engineering from Jadavpur University, India. He is currently an Associate Professor with the National Institute of Science and Technology, Odisha, India. He has authored or coauthored several scientific articles in international journals. His research interests include T-CAD, microelectronics, solar cells, reliability physics, and characterization of advanced CMOS and novel devices

Mandhapati Vamshi Krishna

Mandhapati Vamshi Krishna received the B.Tech. from Biju Patnaik University, M.Tech. from Andhra University, and Ph.D. degree from the Department of Electronics and Communication Engineering, Centurion University in 2017. Presently, he is a Professor in the Department of ECE at Dhanekula Institute of Engineering and Technology. His fields of interest are wireless communications and antenna designs aqt mm wave frequencies.

Murthy Cherukuri

Murthy Cherukuri received the B.Tech. degree in Electrical and Electronics Engineering from Jawaharlal Nehru Technological University, Kakinada, India, in 2007 and the M.E. degree in power systems and Ph.D. Engg. degree from the Birla Institute of Technology, Ranchi, India, in 2010 and 2015 respectively. Currently, he is a Professor with the Department of Electrical and Electronics Engineering, National Institute of Science and Technology, Berhampur, India. He was the recipient of POSOCO Power System Award-2016. He is an Associate Editor of IET Generation Transmission and Distribution. His current research interests include power system reliability, wide area measurement system, phasor measurement unit placement, wide area situational awareness.