A. Agarwal, L. Pileggi, “Large Scale Multi-Period Optimal Power Flow with Energy Storage Systems Using Differential Dynamic Programming,” IEEE PES Transactions on Power Systems, 2021.
B. Singer, A. Pandey, S. Li, L. Bauer, C. Miller, L. Pileggi, V. Sekar, Shedding Light on Inconsistencies in Grid Cybersecurity: Disconnects and Recommendations, IEEE Symposium on Security and Privacy, May 22-26, 2023.
P. Donti, A. Agarwal, L. Pileggi, Z. Kolter, Adversarially Robust Learning for Security-Constrained Optimal Power Flow, Neural Information Processing Systems, 2021
T. McNamara, A. Pandey, A. Agarwal, L. Pileggi, Two-Stage Homotopy Method to Incorporate Discrete Control Variables into AC-OPF, Power Systems Computation Conference (PSCC), June 27-July 1, 2022
A. Agarwal, P. Donti, L. Pileggi, Employing Adversarial Robustness Techniques for Large-Scale Stochastic Optimal Power Flow, 22nd Power Systems Computation Conference (PSCC), Porto, Portugal, 2022
A. Agarwal, L. Pileggi, Efficient Steady State Analysis of the Grid Using Electromagnetic Transient Models, 22nd Power Systems Computation Conference (PSCC), Porto, Portugal, 2022.
E. Foster, A. Pandey, L. Pileggi, Three-Phase Infeasibility Analysis for Distribution Grid Studies, Power Systems Computation Conference (PSCC), June 27-July 1, 2022.
Agarwal, L. Pileggi, “Large Scale Multi-Period Optimal Power Flow with Energy Storage Systems Using Differential Dynamic Programming,” IEEE PES Transactions on Power Systems, 2021.
(Cindy) Li, A. Pandey, B. Hooi, C. Faloutsos, and L. Pileggi, “Dynamic Graph-Based Anomaly Detection in the Electrical Grid,” IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2021.31328
A. Agarwal, A. Pandey and L. Pileggi, Fast AC Steady-State Power Grid Simulation and Optimization Using Prior Knowledge, (Best Paper Award) IEEE PES General Meeting, July 25-29, 2021.
Carnegie Mellon University
Hamerschlag Hall, 2113
5000 Forbes Avenue
Pittsburgh, PA 15213-3891 USA
pileggi@andrew.cmu.edu
Phone: 412-268-6774