Ph. D.
Professor in EEE
School of Engineering and Technology
 
Department: Electrical and Electronics Engineering
Phone: +91 9632220760
 

About Me

I am very Passionate for Teaching students. To satisfy my passion of teaching to students and prepare them, so that they are ready to plunge into professional career with ethical value system. They are well equipped with strong academic leadership, industrial skills for the growth of any Organization. Ready to contribute my knowledge, experience and  trained them to be acceptable in current industrial organisation(s) and getting them prepared how to tackle in adverse situation prevailed. Having experience of 20+ years in the industrial R&D as well as business environment, knew what’s positive and negative points in those situations. Ably imparting knowledge of emotional quotient which is very necessary in current situation.

 
Research Fields

  • Artificial Intelligence/Machine Learning
  • Deep Learning
  • Embedded System
  • Electricity Market

Teaching

  • Basic Electrical Engineering

Expertise

  • Digital Applications Development for Power Systems Analyses
  • Load Compensation
  • Harmonic Elimination

Interests

  • Artificial Intelligence/Machine Learning
  • Deep Learning
  • Embedded System
  • Electricity Market

 
   

Research Fields

Completed my Ph.D. in the topic Harmonic Load Compensator: Simulation & PC-based Experimental Verification with a Single-Phase Thyristorised Load  in Electrical Engineering Department, IIT, Kharagpur. In my working period in ABB Ability Innovation Center my colleague Dr. Sachin Srivastava completed his Doctoral Degree in IISc Bangalore under my Co-supervision along with Prof. U. J. Shenoy in the year 2016. Currently Four Research Scholar from dept. EE/EEE and One research Scholar from Mechanical Engg. assigned to me as Supervisor and Co-supervisor. 

There are 11 Technical Publications in Journal/Conferences/GE to my credit. Acting as reviewer of IEEE Transactions of Power Delivery, IEEE Transactions of Power System and IEEE Transaction of Energy Conversion. Am a member of IEEE and Power & Energy Society (PES).

Apart from all these my research interest in following areas...  

1. Digital Substation is a core enabler to increase safety, productivity and reliability for grid operators and to reduce the overall substation cost. Digital Substations remove the last electrical connection between the high voltage equipment and the protection and control panels, creating a safer work environment, whilst 50% reduction of space in the switch yard, reducing 60% of copper cable, 40% shorter installation phase and above all 50% reduction in outage time will be achieved. As a key component towards smarter grids, where utilities continue to integrate increasing amounts of intermittent renewable energy sources, Digital Substations will also help improve safety, thanks to a shorter decision time in case of an emergency. Digital Substation concept has also paved the way for well-known innovative switchgear solutions such as PASS (Plug and Switch System) and most recently the Disconnecting Circuit Breakers with integrated Fiber Optic Current Sensors (DCB with FOCS).

2. Intelligent Fault Analyses by using AI/ML Analytics: In the complex electric grid monitoring is paramount importance to provide operators with early warnings of anomalies detected on the network, along with a precise classification and diagnosis of the specific fault type. Proposals should have made with a novel multi-stage early warning system for electric grid fault detection, classification, subgroup discovery, and visualization. Initially, a computationally efficient anomaly detection method based on quartiles detects the presence of a fault in real time. Next, the fault has to be classified into one of predefined disaster scenarios. The time series data should have first mapped to highly discriminative features by applying dimensionality reduction based on temporal autocorrelation. The features are then mapped through one of classification techniques. Finally, using intra-class clustering based on artificial intelligence and machine learning, is used to characterize the fault with further granularity.

3.  Renewable Energy (Wind): Nowadays, the amount of integration of Wind Turbines (WTs) and Wind Power Plants (WPPs) into the electrical grid is increasing. Besides the advantages like sustainability, eco-friendly, and controllability, a high penetration of WPPs is challenging the stability, reliability, and power quality of the electrical grid. Among power quality issues, harmonics and electrical oscillations around and above the fundamental frequency are common phenomena in WPPs and gaining more and more attention. In the literature, these electrical oscillations have been called different names such as harmonic stability, small signal stability, dynamic stability, harmonic resonance, dynamic resonance, or electromagnetic transient stability. The oscillatory modes and electrical resonances of the WPP should be identified. The effects of the various phenomena on electrical oscillations, including the number of WTs, grid Short-Circuit Ratio (SCR), cable lengths, and controller bandwidths has to be analysed. In order to reduce the electrical oscillations and resonance probability, an optimum design procedure in the frequency-domain must be presented to put the oscillatory modes of the WPP into the desired locations with acceptable damping.

4. Electricity Market: The economic dispatch formulation applies bid-based supply and demand to produce a benefit cost description. The economic dispatch maximizes the net benefits. For well-behaved supply offers and demand bids, this welfare maximizing economic dispatch is also a price taking, competitive market equilibrium.