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

Miguel_PhD_thesis_predefense.pdf