Daniele Linaro

Assistant Professor

Politecnico di Milano

Italy

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About

Daniele Linaro is an Assistant Professor at Politecnico di Milano, Italy. His research focuses on power systems, particularly in modular multilevel converters, inertia estimation, and the stability of HVDC power systems. He has recently published works on electromagnetic transient analysis, convolutional neural networks for power system inertia estimation, and the impact of passive components on inverter-dominated power grids.

Articles (13)

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2024

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2024

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2024

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2021

Collaborators (4)

Pablo Ledesma

Universidad Carlos III de Madrid

SPAIN

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Federico Milano

Professor

Dublin City University

IRELAND

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David Hunt

Assistant Professor

Cedars-Sinai Medical Center

UNITED STATES

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HORTENSIA AMARIS

Universidad Carlos III de Madrid

SPAIN

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Daniele Linaro

Research Interests

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Articles (13)

Inertia Estimation of a Power System Area Based on Iterative Equation Error System Identification

Shooting method based modular multilevel converter initialization for electromagnetic transient analysis

Determination of modular multilevel converters admittances and their impacts on HVDC power system stability

Continuous estimation of power system inertia using convolutional neural networks

On the Calculation of the Variance of Algebraic Variables in Power System Dynamic Models With Stochastic Processes

Inertia Estimation Through Covariance Matrix

PanSuite: A free simulation environment for the analysis of hybrid electrical power systems

Impact of Passive-Components’ Models on the Stability Assessment of Inverter-Dominated Power Grids

Isomorphic Circuit Clustering for Fast and Accurate Electromagnetic Transient Simulations of MMCs

Cell type-specific mechanisms of information transfer in data-driven biophysical models of hippocampal CA3 principal neurons

Application of Envelope-Following Techniques to the Simulation of Hybrid Power Systems

Modular Multilevel Converter Impedance Computation Based on Periodic Small-Signal Analysis and Vector Fitting

Partitioning-Based Unified Power Flow Algorithm for Mixed MTDC/AC Power Systems

Collaborators (4)

Pablo Ledesma

Federico Milano

David Hunt

HORTENSIA AMARIS

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