Online Identification of Underlying Causes for Multiple and Multi-Stage Power Quality Disturbances Using S-Transform

ABSTRACT

The proposed methodology aims at the identification of multiple and multi-stage power quality (PQ) disturbances along with their underlying causes. To this end, a computationally efficient S-Transform with decision tree (DT) based online PQ monitoring algorithm has been presented in this paper. This online algorithm provides a sample-based analysis of 40-dB noisy multiple and multi-stage PQ disturbance signals simulated in MATLAB environment with the different combinations of underlying causes as per the IEEE-1159 standard. The features like residual voltage, instantaneous phase-angle jump (IPAJ), and number of zero crossings (NZC) have been extracted from the transformed contours, viz., maximum voltage amplitude versus time (MVAVT) and phase-angle versus time (PAVT). Henceforth, the accurate recognition of most common underlying causes like three-phase fault, induction motor starting, and capacitor bank energizing has been achieved. For the first time, an online PQ monitoring algorithm is effectively assessing the type and underlying cause of a multiple or multi-stage disturbance simultaneously. The proposed methodology has also been experimentally validated with real-time PQ disturbance signals acquired in the laboratory.

KEYWORDS:

• Instantaneous phase-angle jump (IPAJ)
• Multiple power quality (PQ) disturbances
• Multi-stage PQ disturbances
• Online PQ monitoring
• S-Transform
• Underlying causes

Additional information

Notes on contributors

Rajat Kumar

Rajat Kumar received the BTech degree in electrical and electronics engineering from Uttar Pradesh Technical University, Lucknow, India, in 2013, and the M.Tech degree in power electronics and drives from Madan Mohan Malaviya University of Technology, Gorakhpur, India, in 2017. He is currently pursuing the PhD degree with the Electrical and Instrumentation Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, India. His current research interests include power quality disturbance assessment in the distribution system, application of digital signal processing techniques in power system, and power electronics converter applications in renewable energy system.

Bhim Singh

Bhim Singh was born in Rahamapur, Bijnor (UP), India, in 1956. He has received his BE (Electrical) from the University of Roorkee (Now IIT Roorkee), India, in 1977 and his MTech (Power Apparatus & Systems) and PhD from the IIT Delhi, India, in 1979 and 1983, respectively. In 1983, he joined the Department of Electrical Engineering, University of Roorkee, as a lecturer. He became a reader there in 1988. In December 1990, he joined the Department of Electrical Engineering, IIT Delhi, India, as an assistant professor, where he became an associate professor in 1994 and a Professor in 1997. He has been head of the Department of Electrical Engineering at IIT Delhi from July 2014 to August 2016. He has been dean, Academics at IIT Delhi, August 2016 to August 2019. He is JC Bose Fellow of DST, Government of India since December 2015. He is CEA Chair Professor since January 2019. Prof Singh has guided 84 PhD dissertations, and 167 ME/MTech /MS(R) theses. He has filed 55 patents. He has executed more than 80 sponsored and consultancy projects. His areas of interest include solar PV grid interface systems, microgrids, power quality monitoring and mitigation, solar PV water pumping systems, improved power quality AC-DC converters. Email: [email protected]

Raj Kumar

Raj Kumar received the Bachelor of Engineering (Electronics and Instrumentation) degree from Punjabi University, Patiala, India, in 1994, the MTech degree in instrumentation and control engineering from Punjab Technical University, Jalandhar, India, in 2005, and the PhD degree from Indian Institute of Technology Delhi, India, in 2016. He is currently an associate professor with the Electrical and Instrumentation Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, India. His areas of research include power quality, digital signal processing, and process control systems. Email: [email protected]

Sanjay Marwaha

Sanjay Marwaha received the Bachelor of Engineering (Electrical) degree from Gorakhpur University, Gorakhpur, India, in 1988, the Master of Engineering (Power System) from Punjab University, Chandigarh, India, in 1990, and the PhD degree from Guru Nanak Dev University, Amritsar, India, in 2000. He is the professor and currently the head of the Department (Electrical and Instrumentation Engineering) at Sant Longowal Institute of Engineering and Technology, Longowal, India. His areas of research include design and analysis of electromagnetic devices, electrical and electronic measurement and instrumentations, electrical machines, power systems, and high voltage engineering. Email: [email protected]