388 citations · 1.5k across the 94 of their papers we have counts for
21 papers · 1 filter
DER Allocation without Load Prediction via Reinforcement Learning
Abed AlRahman Al Makdah, Aravind Ramana, Shaofeng Zou +2
The growing variability of renewable generation increases the need for fast and flexible grid-balancing mechanisms. Existing frameworks for distributed energy resource aggregations…
Forecast and Model Predictive Control of Distributed Energy Resource Aggregators for Net-Demand Balancing
Obai Bahwal, Oliver Kosut, Lalitha Sankar
With the rapid demand for energy, even the incorporation of bulk renewable energy sources is not entirely sufficient to meet demand besides adding supply uncertainty. Distributed E…
Model Predictive Control for Joint Ramping and Regulation-Type Service from Distributed Energy Resource Aggregations
Joel Mathias, Rajasekhar Anguluri, Oliver Kosut +1
Distributed energy resources (DERs) such as grid-responsive loads and batteries can be harnessed to provide ramping and regulation services across the grid. This paper concerns the…
An Adversarial Approach to Evaluating the Robustness of Event Identification Models
Obai Bahwal, Oliver Kosut, Lalitha Sankar
Intelligent machine learning approaches are finding active use for event detection and identification that allow real-time situational awareness. Yet, such machine learning algorit…
Parameter Estimation in Ill-conditioned Low-inertia Power Systems
Rajasekhar Anguluri, Lalitha Sankar, Oliver Kosut
This paper examines model parameter estimation in dynamic power systems whose governing electro-mechanical equations are ill-conditioned or singular. This ill-conditioning is becau…
A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data
Nima T. Bazargani, Gautam Dasarathy, Lalitha Sankar +1
Power systems are prone to a variety of events (e.g. line trips and generation loss) and real-time identification of such events is crucial in terms of situational awareness, relia…