Publications associées à SOStab: A Matlab toolbox for transient stability analysis

Publications associées (16)

Convex Computation of Value-at-risk Bounds for Stochastic Processes

This article formulates algorithms to upper-bound the maximum value-at-risk (VaR) of a state function along trajectories of stochastic processes. The VaR is upper bounded by two methods: minimax tail-bounds (Cantelli/Vysochanskij-Petunin) and Expected Shor ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2025

A shortcut model for batch distillation columns using pertinent effective factors

Dominique Bonvin

A shortcut model is a low-order model that provides a simplified representation of a complex process, thereby enabling faster and more efficient analysis, design and optimization without the computational intensity of a full-scale model. For continuous dis ...

Elsevier2025

A Two-Wired High Input Impedance and High CMRR Active Electrode Insensitive to Component Mismatch

Alexandre Schmid, Mehdi Saberi

This article proposes a new two-wired amplifying active electrode (AE), presenting a high input impedance and a high common-mode rejection ratio (CMRR). In the proposed structure, the input impedance and the CMRR of the system are considerably increased by ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Dynamics analysis for DC transformers integration in hybrid AC‐DC power distribution networks

Drazen Dujic, Andrea Cervone, Renan Pillon Barcelos, Jules Christian Georges Macé, Max Dupont

In AC/DC power distributions networks, power converters are interfacing buses to ensure DC voltage regulation and power distribution. Active front ends are used between AC and DC buses and two typical control schemes that can be implemented are voltage reg ...

2023

Methods for Grid-aware Operation and Planning of Active Distribution Networks

Rahul Kumar Gupta

The thesis presents methods for controlling and planning distributed energy resources (DERs) in active distribution networks (ADNs). It deals with three main challenges: (i) developing and experimentally validating grid-aware real-time control frameworks, ...

EPFL2023

Analysis and Design for Medium Voltage Dual Active Bridge Converter Based on Series-Connected SiC MOSFETs

Chengmin Li

In this article, a series-connected SiC MOSFETs-based medium voltage (MV) dual active bridge (DAB) converter featuring a lowvoltage difference amongdevices and high efficiency is proposed. In the developed DAB converter, the zero voltage switching-on chara ...

Ieee-Inst Electrical Electronics Engineers Inc2023

Advanced Frameworks to Aggregate and Unlock the Power Flexibility of Distributed Energy Resources Located in Active Distribution Networks

Mohsen Kalantar Neyestanaki

Environmental concerns are leading to a fast transition in electric power systems towards replacing fossil fuel and nuclear generation with renewable generation. This transition has two significant implications for electric power systems: 1-The capacity o ...

EPFL2022

Dynamics of entrapped microbubbles with multiple openings

Mahmut Selman Sakar, Murat Kaynak, Amit Yedidia Dolev

Microbubbles excited by acoustic fields inside water oscillate, and generate acoustic radiation forces and drag-induced acoustic streaming. These forces can be harnessed in various biomedical applications such as targeted drug delivery and on-chip biomanip ...

2022

Experimental data-driven model predictive control of a hospital HVAC system during regular use

Colin Neil Jones, Christophe Salzmann, Emilio Maddalena

Herein we report a multi-zone, heating, ventilation and air-conditioning (HVAC) control case study of an industrial plant responsible for cooling a hospital surgery center. The adopted approach to guaranteeing thermal comfort and reducing electrical energy ...

2022

Predicting in Uncertain Environments: Methods for Robust Machine Learning

Paul Thierry Yves Rolland

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 ...

EPFL2022

High frequency IGCT operation for DC transformer

Gabriele Ulissi

In spite of the dominance of ac technology for the vast majority of power transmission and distribution since the late 19th century, the past decades have seen an increase in use of dc electrical power. In particular, this has been the case both in high vo ...

EPFL2022

Harmonic Power-Flow Study of Polyphase Grids with Converter-Interfaced Distributed Energy Resources, Part II: Model Library and Validation

Mario Paolone, Lorenzo Enrique Reyes Chamorro, Andreas Martin Kettner, Johanna Kristin Maria Becker

In Part I, a method for the Harmonic Power-Flow (HPF) study of three-phase power grids with Converter-Interfaced Distributed Energy Resources (CIDERs) is proposed. The method is based on generic and modular representations of the grid and the CIDERs, and e ...

2021

Hard-Switching Losses in Power FETs: The Role of Output Capacitance

Elison de Nazareth Matioli, Armin Jafari, Palliyage Srilak Nirmana Perera, Reza Soleiman Zadeh Ardebili

For certain field-effect transistors (FETs) in soft-switching operation, the large-signal behavior of their output capacitance ( Co ) has shown to deviate considerably from the datasheet values. This can have a significant effect on hard-switching losses i ...

2021

Time-Synchronization Attack Detection in Unbalanced Three-Phase Systems

Jean-Yves Le Boudec, Mario Paolone, Marguerite Marie Nathalie Delcourt

Phasor measurement units (PMU) rely on an accurate time-synchronization to phase-align the phasors and timestamp the voltage and current phasor measurements. Among the symmetrical components computed from the phasors in three-phase systems, the standard pr ...

2021

Optimal Design of Magnetorheological Valve Integrated in an Intelligent Footwear for Diabetic Patients with Foot Insensitivity

Yves Perriard, Yoan René Cyrille Civet, Xiaotao Ren, Sofia Lydia Ntella, Kenny Jeanmonod, Minh Trung Duöng

Magnetorheological fluid is a type of smart material whose viscosity changes quickly when exposed to an external magnetic field. This paper focuses on the optimized design of a miniature magnetorheological valve integrated into a novel smart shoe-sole that ...

IEEE2021

Differentially Private Stochastic Coordinate Descent

Rachid Guerraoui, Georgios Damaskinos

In this paper we tackle the challenge of making the stochastic coordinate descent algorithm differentially private. Compared to the classical gradient descent algorithm where updates operate on a single model vector and controlled noise addition to this ve ...

AIAA2021