Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
This proposal presents self-healing protection system in smart grid. The system can be applied on a typical distribution system with loads, buses, and power sources or on a combination of several micro grids. The distribution system Automation for a smart grid can be analyzed and implemented using Multi Agent System (MAS) for three significant issues of power system such as
In each case the distribution network to be analysed is developed using MATLAB/Simulink and the agents can be developed in Foundation of Intelligent Physical Agents (FIPA) compliant Java Agent Development Environment (JADE). A two-way communication, which is considered as the main requirement of smart grid technology to provide fully automated process of distribution system. This is achieved by interfacing MATLAB/Simulink and (JADE) using MACSimJX/TCP/IP. This research has collaborations with Durham University, UK, University of Trento Italy and another collaboration for a project with West Virginia University, USA.
Research Progress
The first phase of the research is based on the detection of fault in a smart grid environment using machine learning algorithms. Implementation of an Autoencoder- based Fault detection in smart grids has been successful, with a detection rate of 98%. The algorithm has also been validated through a comparative analysis to prove the superiority of the proposed method.
Collaborations with Universities / Industry Partnerships
Dr. Hongjian Sun
Professor
Department of Engineering Durham University, UK
Dr. Sarika Khushalani Solanki
Associate Professor
Lane Department of Computer Science and Electrical Engineering
West Virginia University
Title: Development of a Multi Agent based system for self-healing protection
Dr. Fabrizio Granelli
Full Professor, University of Trento Dept. of Information Engineering and Computer Science
Via Sommarive 9 38123, T, Italy
