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Develop cybersecure and resilient power system operation and control algorithms utilizing
smart grid data and real time validation of these developed
Smart grid education targeted towards middle school, high school, undergraduate and
graduate students using hardware-in-the-loop demonstration of smart grid devices and
The electric power system is moving towards the Smart Grid (SG) development for improved reliable, secure, resilient, and economic operation. Implementation of such a system requires development, enhanced testing, and validation of smart grid technologies. The Objective of SG-REAL is focused on development and validation of power system operation and control algorithms.
The research goal of SG-REAL is developing ‘Power System Operation and Control’ algorithms in the context of the evolving smart grid. Availability of the smart grid data such as synchrophasor data, smart meter data, distribution automation data, cyber logs provide opportunities for better control and optimization algorithms for power system operation and control precisely towards resiliency. The approach developed by my research group includes physics-driven machine learning for power grid operation and control. My existing research projects with external and internal collaborators relate to the following.
Data-Driven Computational Algorithms to enable security, resiliency, sustainability and voltage stability of the power grid (Transmission Systems with Microgrid and Active Distribution Systems)
Real-Time Modeling and Analysis of Cyber-Power Systems for quality-aware synchrophasor applications and resiliency analysis
Industry-grade tool development for electric grid resiliency, smart grid data analytics
Previous Research Project
April 20, 2022
Dr. Srivastava to give webinar at MIT LIDS/ EESG
The talk focuses on real time physics-aware data analytics to enhance situational awareness and decision support for enabling operational resiliency of the power grid and associated challenges and opportunities.
March 9, 2022
Partha Sarker, Graduate student in SG-REAL won the first-place award in LCSEE graduate student poster presentations
Poster title: Metrics and tools for measuring cyber-physical resiliency of electric grids.
January 12, 2022
Dr. Srivastava to give IEEE PES talk on distributed optimization for power grid, January 2022
The talk focuses on algorithms for distributed optimization, classification, use cases, and discusses current limitations and future research needs.