Our Research
The Grid Integration Group (GIG) works to make the evolving smart electric grid compatible with the requirements of electric system grid operators and electric utility companies while serving the needs of electricity customers. The emergence of inexpensive sensing technology, the development of modern data-analytics methods, the widespread use of controllable loads and energy storage such as building HVAC systems and electric vehicles, all combine to offer a spectacular opportunity to reliably, resiliently, and securely de-carbonize the electricity grid.
Recent Publications
Touzani, Samir, Anand Prakash, Zhe Wang, Shreya Agarwal, Marco Pritoni, Mariam Kiran, Richard E. Brown, and Jessica Granderson."Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency."Applied Energy
304 (2021) 117733. DOI
Moreira, Alexandre, Miguel Heleno, and Alan Valenzuela."A Risk-Averse Approach for Distribution Grid Expansion Planning."Energies
14.24 (2021) 8482. DOI
Morozovska, Kateryna, Miguel Heleno, Alan Valenzuela Meza, and Patrik Hilber."Including Dynamic Line Rating Into the Optimal Planning of Distributed Energy Resources."IEEE Transactions on Smart Grid
12.6 (2021) 5052 - 5059. DOI