no code implementations • 19 Apr 2024 • Rahul K. Gupta, Sherif Fahmy, Max Chevron, Enea Figini, Mario Paolone
MPC accounts for the uncertainty of the power injections from stochastic resources (such as demand and generation from photovoltaic - PV plants) by short-term forecasts.
no code implementations • 19 Apr 2024 • Rahul K. Gupta, Sherif Fahmy, Max Chevron, Riccardo Vasapollo, Enea Figini, Mario Paolone
The framework consists of two stages.
no code implementations • 8 Apr 2024 • Babak Taheri, Rahul K. Gupta, Daniel K. Molzahn
Using sensitivity information, our algorithm optimizes the LinDistFlow approximation's coefficient and bias parameters to minimize discrepancies in predictions of voltage magnitudes relative to the nonlinear DistFlow model.
no code implementations • 30 Mar 2024 • Rahul K. Gupta, Daniel K. Molzahn
In this work, we combine these two schemes and provide extensive analyses and comparisons of these two fairness schemes.
no code implementations • 12 Mar 2024 • Rahul K. Gupta, Daniel K. Molzahn
However, such schemes result in increased overall curtailments.
no code implementations • 15 Jan 2024 • Rahul K. Gupta, Paprapee Buason, Daniel K. Molzahn
These limits are computed a day ahead of real-time operations by solving an offline stochastic optimization problem using forecasted scenarios for PV generation and load demand.