Publication
A decentralized scalable approach to voltage control of DC islanded microgrids
Related publications (43)
Development of an optimization tool for the electricity production of the Enguri power plant in Georgia
The ongoing global warming situation has bolstered interests in developing and reinforcing green energy. One of the most promising fields is hydropower (Ahmad and Hossain, 2020 and Yazdi and Moridi, 2018). Many existing reservoirs have untapped potential t ...
2023Vehicle-to-Grid for Reliable Frequency Regulation
Future low-carbon societies will need to store vast amounts of electricity to stabilize electricity grids and to power electric vehicles. Vehicle-to-grid allows vehicle owners and grid operators to share the costs of electricity storage by making the batte ...
EPFL2022Predicting in Uncertain Environments: Methods for Robust Machine Learning
One of the main goal of Artificial Intelligence is to develop models capable of providing valuable predictions in real-world environments. In particular, Machine Learning (ML) seeks to design such models by learning from examples coming from this same envi ...
EPFL2022Utility/privacy trade-off as regularized optimal transport
Strategic information is valuable either by remaining private (for instance if it is sensitive) or, on the other hand, by being used publicly to increase some utility. These two objectives are antagonistic and leaking this information by taking full advant ...
SPRINGER HEIDELBERG2022KPC: Learning-Based Model Predictive Control with Deterministic Guarantees
Colin Neil Jones, Yuning Jiang, Paul Scharnhorst, Emilio Maddalena
We propose Kernel Predictive Control (KPC), a learning-based predictive control strategy that enjoys deterministic guarantees of safety. Noise-corrupted samples of the unknown system dynamics are used to learn several models through the formalism of non-pa ...
2021Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates
Fabio Nobile, Davide Pradovera
We propose a model order reduction approach for non-intrusive surrogate modeling of parametric dynamical systems. The reduced model over the whole parameter space is built by combining surrogates in frequency only, built at few selected values of the param ...
2021Data-Driven LPV Controller Design for Islanded Microgrids
Alireza Karimi, Seyed Sohail Madani
This paper presents a data-driven multivariable Linear Parameter Varying (LPV) controller design method. The synthesis process is based on frequency-domain data corresponding to different operating points of the plant. The performance and also stability co ...
ELSEVIER2021A Multi-Step Reconfiguration Model for Active Distribution Network Restoration Integrating DG Start-Up Sequences
The ever-increasing penetration of Distributed Generators (DGs) in distribution networks suggests to enable their potentials in better fulfilling the restoration objective. The objective of the restoration problem is to resupply the maximum energy of loads ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020On the relaxed maximum-likelihood blind MIMO channel estimation for orthogonal space-time block codes
This paper concerns the maximum-likelihood channel estimation for MIMO systems with orthogonal space-time block codes when the finite alphabet constraint of the signal constellation is relaxed. We study the channel coefficients estimation subspace generate ...
ELSEVIER2020MATHICSE Technical Report: Non-intrusive double-greedy parametric model reduction by interpolation of frequency-domain rational surrogates
Fabio Nobile, Davide Pradovera
We propose a model order reduction approach for non-intrusive surrogate modeling of parametric dynamical systems. The reduced model over the whole parameter space is built by combining surrogates in frequency only, built at few selected values of the param ...
MATHICSE2020