Publications associées à Optimal grid-forming control of battery energy storage systems providing multiple services: Modeling and experimental validation

Publications associées (23)

About the process of technology transfer from research to engineering practice

The transfer of technology from research to structural engineering and construction practice is illustrated using two cases of the implementation of innovative engineering methods and technologies in the renewal and 'upcycling' of existing bridges, namely ...

Informa UK Limited2025

Enhancing Lift and Dynamic Stability Through Morphological Optimization of Wings for Tailless Flapping-Wing Robots

Josephine Anna Eleanor Hughes

The design of wings is crucial for tailless Flapping-wing robots (FWRs), as these robots rely exclusively on their wings for lift generation and body control. However, the current methodology for wing design primarily depends on the experience and heuristi ...

2025

Towards Sustainable Energy Futures - Infrastructure and Prosumer Integration, Decentralization and Sustainability in Renewables-based Energy System Modeling

Jonas Schnidrig

The global energy sector stands at a critical juncture, with the imperative shift towards renewable energy sources posing challenges and opportunities for existing infrastructure and societal norms. This thesis explores the multifaceted dynamics of transit ...

EPFL2024

A new method to interpolate POD reduced bases-Application to the parametric model order reduction of a gas bearings supported rotor

Fabio Nobile, Jürg Alexander Schiffmann, Dimitri Maurice Goutaudier

The proper orthogonal decomposition (POD) is successfully employed in a variety of projection-based methods for parametric model order reduction (pMOR) of large dynamical systems. It extracts the most energetic modes describing the dynamics of a system fro ...

Wiley2023

Training Provably Robust Models by Polyhedral Envelope Regularization

Sabine Süsstrunk, Mathieu Salzmann, Chen Liu

Training certifiable neural networks enables us to obtain models with robustness guarantees against adversarial attacks. In this work, we introduce a framework to obtain a provable adversarial-free region in the neighborhood of the input data by a polyhedr ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

The Natural Robotics Contest: crowdsourced biomimetic design

Raphael Zufferey

Biomimetic and bioinspired design is not only a potent resource for roboticists looking to develop robust engineering systems or understand the natural world. It is also a uniquely accessible entry point into science and technology. Every person on Earth c ...

IOP Publishing Ltd2023

An improved subthreshold swing expression accounting for back-gate bias in FDSOI FETs

Christian Enz, Farzan Jazaeri, Hung-Chi Han

In a MOSFET transistor, the subthreshold swing defines the switching efficiency, and the associated slope factor, or so-called body factor, is a critical parameter in charge-based models. However, in an advanced Fully -Depleted Silicon-On-Insulator (FDSOI) ...

PERGAMON-ELSEVIER SCIENCE LTD2023

A Wireless Power and Bi-Directional Data Transfer System Using A Single Inductive Link for Biomedical Implants

Alexandre Schmid, Catherine Dehollain, Mohammad Javad Karimi, Soroush Mehdi

This paper presents a wireless power and data conversion unit, designed to receive power and data via a single inductive link with a focus on applications in implanted biomedical devices. The system provides a reliable power supply for electronic circuits ...

Institute of Electrical and Electronics Engineers Inc.2023

Intrinsic thermal stability of inverted perovskite solar cells based on electrochemical deposited PEDOT

Jing Gao

Thermal stability of perovskite materials is an issue impairing the long-term operation of inverted per-ovskite solar cells (PSCs). Herein, the thermal attenuation mechanism of the MAPbI3 films that deposited on two different hole transport layers (HTL), p ...

ELSEVIER2023

The automated collapse data constructor technique and the data-driven methodology for seismic collapse risk assessment

Dimitrios Lignos, Alexandre Massoud Alahi, Nenad Bijelic

Majority of the past research on application of machine learning (ML) in earthquake engineering focused on contrasting the predictive performance of different ML algorithms. In contrast, the emphasis of this paper is on the use of data to boost the predict ...

WILEY2023

A Bistable Silicon Photonic Mems Phase Switch For Nonvolatile Photonic Circuits

Niels Quack, Alain Yuji Takabayashi

Silicon photonic circuits are rapidly growing in complexity and spreading to new applications. However, programmable circuits consume much power and require active electrical interfaces. For the first time, we demonstrate a nonvolatile photonic MEMS pi-pha ...

IEEE2022

A Compressor Off-Line Washing Schedule Optimization Method With a LSTM Deep Learning Model Predicting the Fouling Trend

Jinwei Chen

Compressor fouling is one of the most prevalent fault modes that contribute to the performance degradation of a gas turbine power plant. Off-line washing is a standard maintenance procedure to recover the fouling degradation, but with washing cost. In this ...

2022

Optimal Adaptive Droop Design via a Modified Relaxation of the OPF

Giancarlo Ferrari Trecate

The ever-increasing penetration of renewable energy resources (RESs) in power distribution networks has brought, among others, the challenge of maintaining the grid voltages within the secure region. Employing droop voltage regulators on the RES's inverter ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Thin, flexible, and scalable mobile robot driven by electrostatic zipping actuators

Herbert Shea, Djen Timo Kühnel

Small-scale soft mobile robots are an attractive solution to gain access to hard-to-reach places. We demonstrate a thin (similar to 4 mm) and flexible mobile robot, 8 cm x 9 cm, mass 4 g, that uses 6 electrostatic zipping actuators with hydraulic coupling, ...

SPIE-INT SOC OPTICAL ENGINEERING2022

Revitalisation des deltas lacustres : Quelle méthodologie adopter pour améliorer les services écosystémiques et bénéfices environnementaux ? / River mouth revitalization design, how to improve ecosystem services and environmental benefits of engineering work?

Alexandre Philippe Louis Antoine Fourrier, Giovanni De Cesare

Les deltas lacustres sont des systèmes largement anthropisés rendant des services écosystémiques importants à l’Homme et à son environnement. Les travaux de protection contre les crues du siècle passé ont conduit à considérer l’embouchure comme un vecteur ...

2022

TWIICE One powered exoskeleton: effect of design improvements on usability in daily life as measured by the performance in the CYBATHLON race

Mohamed Bouri, Ali Reza Manzoori

Background Spinal cord injury leading to paraplegia affects the mobility and physiological well-being of one in a thousand people. Powered exoskeletons can temporarily restore the ability to walk. Their relevance in daily life is still limited because of l ...

BioMed Central2022

Actuation bandwidth extension of an integrated piezo-optomechanical nanophotonic device

Tobias Kippenberg, Junqiu Liu, Johann Emmeram Riemensberger, Wenle Weng, Anat Siddharth

We demonstrate a novel technique of contour-mode suppression of an integrated MEMS-photonic chip up to the first HBAR mode at 17 MHz. The flattened actuation response is critical to the development of compact LiDAR engine or low-noise frequency-agile laser ...

IEEE2021

Experimental investigation of viscoelastic turbulent fluid hammer in helical tubes, considering column-separation

Sahar Rezapour

The fluid hammer phenomenon is a devastating incident that can cause substantial damages to the hydraulic systems. If the fluid reaches the vapor pressure due to high pressure gradients, the phenomenon is called column separation. In this study, the overpr ...

ELSEVIER SCI LTD2021

Tensor Methods in Computer Vision and Deep Learning

Grigorios Chrysos

Tensors, or multidimensional arrays, are data structures that can naturally represent visual data of multiple dimensions. Inherently able to efficiently capture structured, latent semantic spaces and high-order interactions, tensors have a long history of ...

2021

Microfluidic-assisted bioprinting of tissues and organoids at high cell concentrations

Philippe Renaud, Arnaud Bertsch, John McKinney, Ludovic Serex, Kunal Sharma

Despite its simplicity, which makes it the most commonly used bioprinting method today, extrusion-based bioprinting suffers from its inability to reproduce the complex tissue architecture found in organs. Generally, this printing method allows for the disp ...

IOP PUBLISHING LTD2021