Modern control techniques for power distribution systems and microgrids rely on predictive frameworks exploiting the forecast of stochastic resources at time scales ranging from several minutes to seconds. This research subject focuses on the development of machine-learning-based techniques for the ultra short term forecasting of both renewable energy resources as well as heterogeneous loads with small level of aggregation.
Study of flexible operating conditions in variable-speed hydraulic turbines : advanced models and experimental validation
M. Seydoux / M. Paolone; E. Vagnoni (Dir.)
Lausanne, EPFL, 2024. On the prediction of the induced damage by the start-up sequence of Francis turbines: On operational resilience framework
M. Seydoux; E. Vagnoni; C. Nicolet; M. Paolone
Renewable Energy. 2024-05-03. p. 120587. DOI : 10.1016/j.renene.2024.120587. Experimental Validation of Model-less Robust Voltage Control using Measurement-based Estimated Voltage Sensitivity Coefficients
R. K. Gupta; M. Paolone
2023. 2023 IEEE Belgrade PowerTech, Belgrade, Serbia, 25-29 June 2023. p. 1-8. DOI : 10.1109/PowerTech55446.2023.10202696. Optimal sizing and siting of energy storage systems considering curtailable photovoltaic generation in power distribution networks
R. Gupta; F. Sossan
Applied Energy. 2023-06-01. Vol. 339, p. 120955. DOI : 10.1016/j.apenergy.2023.120955. Reliable Dispatch of Active Distribution Networks via a Two-layer Grid-Aware Model Predictive Control: Theory and Experimental Validation
R. K. Gupta; A. Zecchino; J. H. Yi; M. Paolone
IEEE Open Access Journal of Power and Energy. 2022-10-19. Vol. 9, p. 465 – 478. DOI : 10.1109/OAJPE.2022.3216072. Expansion planning of active distribution networks achieving their dispatchability via energy storage systems
J. H. Yi; R. Cherkaoui; M. Paolone; D. Shchetinin; K. Knezovic
Applied Energy. 2022-09-29. Vol. 326, num. November 2022, p. 119942. DOI : 10.1016/j.apenergy.2022.119942. Model-less robust voltage control in active distribution networks using sensitivity coefficients estimated from measurements
R. Gupta; F. Sossan; M. Paolone
Electric Power Systems Research. 2022-11-01. Vol. 212, p. 108547. DOI : 10.1016/j.epsr.2022.108547. Optimal Co-Planning of ESSs and Line Reinforcement Considering the Dispatchability of Active Distribution Networks
J. H. Yi; R. Cherkaoui; M. Paolone; D. Shchetinin; K. Knezovic
IEEE Transactions on Power Systems. 2022-06-08. Vol. 38, num. 3, p. 2485-2499. DOI : 10.1109/TPWRS.2022.3181069.
