The availability of high-resolution historical data from the grid, smart inverters, and advanced metering infrastructure has made it possible to develop accurate models of the state of the power system, available renewable generation, demands, and user preferences. This project aims to develop proactive, data-driven energy management strategies that combine real-time measurements with predictions of these models to optimally control a vast number of Distributed Energy Resources (DERs) for improved reliability and efficiency. The efficacy of these strategies is evaluated using an advanced test environment available in the Future Smart Grid Technologies lab. Additionally, a state-of-the-art monitoring and control infrastructure will be developed for the smart grid which enables large-scale integration and seamless operation of geographically dispersed DERs. This infrastructure will support the execution of decentralized, proactive, and data-driven energy management strategies, which will play a pivotal role in enhancing efficiency, reliability, and cybersecurity of the smart grid.
Co-Chair of Energy Storage Workshop 2020
Conference/Workshop
DPMU 2018 Workshop Co-Chair
Conference/Workshop
IEEE EPEC 2020 Publications Chair
Conference/Workshop
ePerf 2018 Workshop Co-Chair
Conference/Workshop
A Co-simulation Platform for Evaluating Cyber Security and Control Applications in the Smart Grid
Conference Proceedings
Adaptive Control of Plug-in Electric Vehicle Charging with Reinforcement Learning
Conference Proceedings
Advances in Distribution System Monitoring
Book Chapter
Bayesian Learning-Based Harmonic State Estimation in Distribution Systems with Smart Meter and DPMU Data
Scholarly Refereed Journal
EnergyBoost: Learning-based Control of Home Batteries
Conference Proceedings
Guest Editorial Theory and Application of PMUs in Power Distribution Systems
Scholarly Refereed Journal
Leveraging Sparsity in Distribution Grids: System Identification and Harmonic State Estimation
Scholarly Refereed Journal
On Identification of Distribution Grids
Scholarly Refereed Journal
Practical Considerations in the Design of Distribution State Estimation Techniques
Conference Proceedings
Reputation-Based Fair Power Allocation to Plug-in Electric Vehicles in the Smart Grid
Conference Proceedings
Sparse Bayesian Harmonic State Estimation
Conference Proceedings