Real-time Automated Event Analysis and Supervisory Framework for Power Systems using Synchrophasor Measurements

Abstract

This article presents a real-time event diagnosis approach for improved situational awareness in power systems using wide area synchrophasor measurements. A new index for early detection of events and a scheme for their geographical localization is proposed. A supervised learning-based event classification module is proposed for real-time identification of the events. The discontinuities generated in voltage and frequency measurements due to events are adequately localized in the wavelet domain. Therefore, the discrete wavelet transform is used for detection and localization of events. Time-frequency features are extracted from voltage and frequency measurements, and a multi-class support vector machine classifier is trained. A linear relationship between wavelet coefficients and the magnitude of disturbance triggered by the event is obtained. The proposed work functions as a supervisory layer above the traditional protection equipment and can validate its operation. The effectiveness of the proposed approach is demonstrated on the standard IEEE New England 39 bus test system.

Keywords:

• power system disturbance
• discrete wavelet transform
• event detection
• event localization
• event classification
• situational awareness
• support vector machine
• synchrophasor measurements
• feature extraction
• wide area monitoring systems (WAMS)

Additional information

Notes on contributors

Ajeet Kumar Singh

Ajeet Kumar Singh received B. Tech. in Electrical Engineering from GBTU, Lucknow in 2010 and M. Tech. in Control System from National Institute of Technology, Kurukshetra in 2012. Currently, he is a doctoral candidate in the Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur. He is a Member of the IEEE. His areas of research interest are power system stability and machine learning applications in power system.

Manoj Fozdar

Manoj Fozdar received B. Sc. (Engg.) in Electrical Engineering and M. Sc.(Engg.) in Power System and Drives from Aligarh Muslim University, Aligarh in 1989 and 1992, respectively, and Ph. D. in Electrical Engineering from University of Rajasthan, Jaipur in 2007. Presently he is working as Professor in the Department of Electrical Engineering at Malaviya National Institute of Technology, Jaipur. He is a Senior Member of the IEEE. His research interest lies in the area of power system operation and control & FACT devices.