Forecasting of stochastic resources

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.

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.  p. 1-13. DOI : 10.1109/TPWRS.2022.3181069.

Performance Comparison of Alternating Direction Optimization Methods for Linear-OPF based Real-time Predictive Control

R. Gupta; V. Sovljanski; F. Sossan; M. Paolone 

2021-07-29. 2021 IEEE Madrid PowerTech, Madrid, Spain, 28 June-2 July 2021. p. 1-6. DOI : 10.1109/PowerTech46648.2021.9494812.

Validation of an advanced control algorithms based on short-term forecasting of PV generation (RE Demo)

R. K. Gupta; M. Paolone 


Operation of the battery storage systems for grid control, feeder dispatching (RE Demo)

A. Zecchino; R. K. Gupta; M. Paolone 


Tools for multi time horizon PV point forecasting and prediction intervals

E. Scolari; F. Sossan; M. Paolone 


Study of targeted feeders’ (Onnens/Rolle) operational limits (REeL Demonstrator)

K. Christakou; M. Nick; M. Paolone 


Coordinating Distributed Energy Resources and Utility-Scale Battery Energy Storage System for Power Flexibility Provision Under Uncertainty

M. Kalantar Neyestanaki; R. Cherkaoui 

IEEE Transactions on Sustainable Energy. 2021-03-26. Vol. 12, num. 4, p. 1853-1863. DOI : 10.1109/TSTE.2021.3068630.

Countrywide PV hosting capacity and energy storage requirements for distribution networks: The case of Switzerland

R. Gupta; F. Sossan; M. Paolone 

Applied Energy. 2020-10-28. Vol. 281, p. 116010. DOI : 10.1016/j.apenergy.2020.116010.

Grid-aware distributed control of electric vehicle charging stations in active distribution grids

S. A. S. Fahmy; R. K. Gupta; M. Paolone 

Electric Power Systems Research. 2020-08-15. Vol. 189, num. December 2020, p. 106697. DOI : 10.1016/j.epsr.2020.106697.

Performance Assessment of Linearized OPF-based Distributed Real-time Predictive Control

R. Guptal; F. Sossan; M. Paolone 

2019-08-26. 2019 IEEE Milan PowerTech, Milan, June 23-27, 2019. p. 1-6. DOI : 10.1109/PTC.2019.8810532.