Conferences:
R. Oung, M. Picallo, R. D'Andrea, “A parameterized control methodology for a modular flying vehicle”, in IEEE Internacional Conference on Intelligent Robots and Systems, October 2012. doi: 10.1109/IROS.2012.6385706.
M. Picallo, A. Anta, A. Panosyan, and B. De Schutter, “A two-step distribution system state estimator with grid constraints and mixed measurements”, in 2018 Power Systems Computation Conference, June 2018. doi: 10.23919/PSCC.2018.8442586, PDF.
M. Picallo, A. Anta, and B. De Schutter, “Stochastic optimal power flow in distribution grids under uncertainty from state estimation”, in IEEE Conference on Decision and Control, Dec 2018. doi: 10.1109/CDC.2018.8619713, PDF.
M. Picallo, A. Anta, and B. De Schutter, “Efficient convex optimization for optimal pmu placement in large distribution grids”, in IEEE Milano PowerTech, June 2019, doi: 10.1109/PTC.2019.8810467 , PDF.
M. Picallo and F. Dörfler, "Sieving out unnecessary constraints in scenario optimization with an application to power systems", in IEEE Conference on Decision and Control, Dec 2019. PDF.
M. Picallo, S. Bolognani and F. Dörfler, "Closing the loop: dynamic state estimation and feedback optimization of power grids", in 2020 Power Systems Computation Conference, June 2020. PDF. - PSCC 2020 Highlights Award (top 15 papers)
Journals:
M. Picallo, A. Anta, and B. De Schutter, “Comparison of bounds for optimal sensor placement for distribution grid state estimation”, in IEEE Transactions of Power Systems, vol. 34, no. 6, pp. 4837-4846, Nov 2019. doi: 10.1109/TPWRS.2019.2914971, PDF.
M. Picallo, S. Bolognani and F. Dörfler, "Closing the loop: dynamic state estimation and feedback optimization of power grids", in Electric Power Systems Research, vol. 189C, Dec 2020. doi: 10.1016/j.epsr.2020.106753, PDF.
M. Picallo, D. Liao-McPherson, S. Bolognani and F. Dörfler, "Cross-layer Design for Real-Time Grid Operation: Estimation, Optimization and Power Flow", accepted for 2022 Power Systems Computation Conference, and for publication in the Electric Power Systems Research, PDF.
M. Picallo*, L. Ortmann*, S. Bolognani and F. Dörfler, "Adaptive Real-Time Grid Operation via Online Feedback Optimization with Sensitivity Estimation", accepted for 2022 Power Systems Computation Conference, and for publication in the Electric Power Systems Research, PDF.
M. Picallo, S. Bolognani and F. Dörfler, "Sensitivity-conditioning: Beyond Singular Perturbation for Control Design on Multiple Time Scales", accepted for publication in the IEEE Transactions on Automatic Control, PDF.
PhD Thesis: Interconnected Online Feedback Optimization and Estimation Algorithms for Power System Operation in Real Time