Publications associées à Existence and Uniqueness of Load-Flow Solutions in Three-Phase Distribution Networks

Publications associées (22)

Regressive Tomography and Direct Regressive Reconstruction: A Research Note

Two related methods for inverting line-integrated measurements are presented in this research paper in the context of the recent deuterium-tritium experiments in the JET tokamak. Unlike traditional methods of tomography, these methods rely on making use of ...

2023

Assessment of the Lightning Performance of overhead distribution lines based on Lightning Location Systems data

Farhad Rachidi-Haeri

This article presents the Lightning Performance (LP) assessment of a realistic portion of the Italian distribution network with the use of probability distributions for lightning parameters inferred from local data recorded by a Lightning Location System ( ...

2022

Expanded Phase Distribution in Low Average Layer-Number 2D Perovskite Films: Toward Efficient Semitransparent Solar Cells

Mohammad Khaja Nazeeruddin, Paul Joseph Dyson, Hiroyuki Kanda, Bin Ding, Yong Ding, Yen-Cheng Liu

The application of low average layer-number (< n & rang;

2021

Fat navigators and Moire phase tracking comparison for motion estimation and retrospective correction

Daniel Gallichan, Frédéric Gretsch

Purpose To compare motion tracking by 2 modern methods (fat navigators [FatNavs] and Moir' phase tracking [MPT]) as well as their performance for retrospective correction of very high resolution acquisitions. Methods A direct comparison of FatNavs and MPT ...

Wiley2020

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Daniel Kuhn, Viet Anh Nguyen, Peyman Mohajerin Esfahani

We introduce a distributionally robust maximum likelihood estimation model with a Wasserstein ambiguity set to infer the inverse covariance matrix of a p-dimensional Gaussian random vector from n independent samples. The proposed model minimizes the worst ...

2022

Data-Aware Privacy-Preserving Machine Learning

Aleksei Triastcyn

In this thesis, we focus on the problem of achieving practical privacy guarantees in machine learning (ML), where the classic differential privacy (DP) fails to maintain a good trade-off between user privacy and data utility. Differential privacy guarantee ...

EPFL2020

Rate of change of frequency under line contingencies in high voltage electric power networks with uncertainties

Philippe René Joseph Jacquod, Melvyn Sandy Tyloo

In modern electric power networks with fast evolving operational conditions, assessing the impact of contingencies is becoming more and more crucial. Contingencies of interest can be roughly classified into nodal power disturbances and line faults. Despite ...

American Institute of Physics2019

Load Flow in Multiphase Distribution Networks: Existence, Uniqueness, Non-Singularity and Linear Models

Jean-Yves Le Boudec, Andrey Bernstein, Cong Wang

This paper considers unbalanced multiphase distribution systems with generic topology and different load models, and extends the Z-bus iterative load-flow algorithm based on a fixed-point interpretation of the AC load-flow equations. Explicit conditions fo ...

IEEE Institute of Electrical and Electronics Engineers2018

Approximating Matsubara dynamics using the planetary model: Tests on liquid water and ice

Michele Ceriotti, Michael John Willatt

Matsubara dynamics is the quantum-Boltzmann-conserving classical dynamics which remains when real-time coherences are taken out of the exact quantum Liouvillian [T. J. H. Hele et al., J. Chem. Phys. 142, 134103 (2015)]; because of a phase-term, it cannot b ...

2018

On Non-Uniform Transient Electromagnetic Field Coupling to Overhead Transmission Lines

Jun Guo

Transient electromagnetic fields can couple to overhead power transmission and distribution lines, causing damage to the connected equipment. In real cases, incident electromagnetic fields exhibit different spatial and temporal waveform distributions along ...

2018

A methodology for the rigorous verification of Particle-in-Cell simulations

Paolo Ricci, Fabio Riva, Carrie Fiona Beadle

A methodology to perform a rigorous verification of Particle-in-Cell (PIC) simulations is presented, both for assessing the correct implementation of the model equations (code verification), and evaluating the numerical uncertainty affecting the simulation ...

American Institute of Physics2017

Dynamic Assessment of Source–Load Interactions in Marine MVDC Distribution

Drazen Dujic, Francisco Daniel Freijedo Fernández, Uzair Javaid

Medium-voltage direct-current (MVDC) distribution is a possible replacement due to the advancements in power electronic technologies, for existing medium-voltage ac distribution on ships. The new systems based on MVDC are expected to increase fuel efficien ...

Institute of Electrical and Electronics Engineers2017

Controlling the Electrical State via Uncertain Power Injections in Three-Phase Distribution Networks

Mario Paolone, Jean-Yves Le Boudec, Cong Wang

We consider the problem of controlling the electrical state of a three-phase distribution network by enforcing the explicit power injection. More precisely, we assume that the power injection is constrained to reside in some uncertainty set, and the proble ...

2017

A novel approach to ion-ion Langevin self-collisions in particle-in-cell modules applied to hybrid MHD codes

Jonathan Graves

In order to have a better closure for magnetohydrodynamic (MHD) equations, a common approach is to obtain the ion fluid pressure tensor by directly computing the moments of an ion distribution function, obtained by a Particle-in-cell (PIC) solver of the V ...

IOP Publishing2017

Monitoring of the Thermal Strain Distribution in CICCs During the Cyclic Loading Tests in SULTAN

Pierluigi Bruzzone, Boris Stepanov, Ciro Calzolaio

A technique to measure in situ the behavior of the magnetic susceptibility vs. temperature, chi(T), for a cable-in-conduit-conductor (CICC) in the SULTAN test facility has been developed. The same kind of measurements are performed for the corresponding fr ...

IEEE Institute of Electrical and Electronics Engineers2013

Verification of consensus algorithms using satisfiability solving

André Schiper

Consensus is at the heart of fault-tolerant distributed computing systems. Much research has been devoted to developing algorithms for this particular problem. This paper presents a semi-automatic verification approach for asynchronous consensus algorithms ...

Springer Verlag2011

Stratégies de compromis pour l'estimation des paramètres de régression et pour la classification floue

Nicolas Fournier

Model specification is an integral part of any statistical inference problem. Several model selection techniques have been developed in order to determine which model is the best one among a list of possible candidates. Another way to deal with this questi ...

EPFL2011

Geostatistical simulation of 2D fields of raindrop size distributions at the meso-gamma scale

Alexis Berne, Marc Schleiss

The large variability of the drop size distribution (DSD) in space and time must be taken into account to improve remote sensing of precipitation. The ability to simulate a large number of 2D fields of DSD sharing the same statistical properties provides a ...

American Geophysical Union2009

Non-binary LDPC codes and EXIT like functions

In the first part of this thesis we are interested in the asymptotic performance analysis of Non-Binary Low-Density Parity-Check (NBLDPC) codes over the Binary Erasure Channel (BEC) decoded via the suboptimal Belief Propagation (BP) decoder as well as the ...

EPFL2008

Interaction maximization and the observed distribution of urban populations: An agent-based model of humanity's metric condition

Pierre-Emmanuel Dessemontet, André Ourednik

The very existence of urban formations on all inhabited continents and throughout the history of mankind since the 3rd millennium B.C. leads to suppose a tendency of some structured societies to maximize interaction by minimizing physical distance. Were th ...

2007