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Concept

Centrale électrique virtuelle

Publications associées (27)

Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks

Wei Chen, Yuning Jiang, Xin Liu

With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV charging control strategies have been developed to manage the switch between vehicle-to-grid (V2G) and gr ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Fair real-time control of energy storage systems in active distribution networks in the presence of uncertainties

Plouton Grammatikos

The thesis explores the issue of fairness in the real-time (RT) control of battery energy storage systems (BESSs) hosted in active distribution networks (ADNs) in the presence of uncertainties by proposing and experimentally validating appropriate control ...

EPFL2024

Dispatch-aware Optimal Planning of Active Distribution Networks including Energy Storage Systems

Ji Hyun Yi

The thesis develops a planning framework for ADNs to achieve their dispatchability by means of ESS allocation while ensuring a reliable and secure operation of ADNs. Second, the framework is extended to include grid reinforcements and ESSs planning. Finall ...

EPFL2023

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

Process modeling and integration of hydrogen and synthetic natural gas production in a kraft pulp mill via black liquor gasification

François Maréchal, Daniel Alexander Florez Orrego, Meire Ellen Gorete Ribeiro Domingos

The black liquor gasification integrated to chemical plants has shown potential for reducing the process irreversibility and promoting the decarbonization of this industrial sector. In the integrated chemical plants proposed in this work, the purpose is co ...

Pergamon-Elsevier Science Ltd2023

Optimal Co-Planning of ESSs and Line Reinforcement Considering the Dispatchability of Active Distribution Networks

Mario Paolone, Sidi-Rachid Cherkaoui, Ji Hyun Yi

The paper presents a method for the co-optimization of energy storage systems allocation and line reinforcement in active distribution networks. The objective is to guarantee the capability of an active distribution network to follow a dispatch plan by app ...

IEEE Institute of Electrical and Electronics Engineers2022

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

Design and management of three-dimensional multi-processor systems-on-chip with integrated flow cell arrays

Halima Najibi

Three-Dimensional Multi-Processor Systems-on-Chip (3D MPSoCs) are promising solutions for highly intensive Artificial Intelligence (AI) and Big Data applications. They combine remarkably dense computation capabilities and massive communication bandwidths. ...

EPFL2022

Flexibilisation of Biogas-Based Power-to-Gas Processes: A Techno-Economic and Experimental Assessment

Andreas Gantenbein

Biogas-based power-to-X technology allows storing renewable electricity, while producing CO2-neutral products. This work investigates the conversion and upgrading of digestion-derived gas mixtures with focus on increasing the operational flexibility of the ...

EPFL2022

Efficient methods for the operation of active distribution networks in unsymmetric and uncertain states

Sherif Alaa Salaheldin Fahmy

The increasing penetration of stochastic renewable distributed generation, energy storage systems and novel loads (e.g. electric-vehicles (EVs)) in active-distribution-networks (ADNs) or microgrids has triggered the need to develop real-time (e.g. minutes ...

EPFL2022

Coordinated day-ahead dispatch of multiple power distribution grids hosting stochastic resources: An ADMM-based framework

Mario Paolone, Rahul Kumar Gupta, Sherif Alaa Salaheldin Fahmy

This work presents an optimization framework to aggregate the power and energy flexibilities in an interconnected power distribution systems. The aggregation framework is used to compute the day-ahead dispatch plans of multiple and interconnected distribut ...

Elsevier2022

The complex winds of the Alps: an unseen asset for the energy transition

Jérôme François Sylvain Dujardin

Wind energy has played a major role in the development of our society since 5000 BC when the first sail boats traveled the Nile River. Wind technology continued to advance with the invention of wind-powered pumps and mills in China and the Middle East as e ...

EPFL2021

Grid-aware Distributed Model Predictive Control of Heterogeneous Resources in a Distribution Network: Theory and Experimental Validation

Mario Paolone, Fabrizio Sossan, Rahul Kumar Gupta

In this paper, we propose and experimentally validate a scheduling and control framework for distributed energy resources (DERs) that achieves to track a day-ahead dispatch plan of a distribution network hosting controllable and stochastic heterogeneous re ...

2020

Dispatch-aware planning of energy storage systems in active distribution network

Mario Paolone, Sidi-Rachid Cherkaoui, Ji Hyun Yi

This paper proposes a procedure for the optimal siting and sizing of energy storage systems (ESSs) within active distribution networks (ADNs) hosting a large amount of stochastic distributed renewable energy resources. The optimization objective is to mini ...

Elsevier2020

Siting and Sizing of Energy Storage Systems: Towards a Unified Approach for Transmission and Distribution System Operators for Reserve Provision and Grid Support

Mario Paolone, Fabrizio Sossan

This paper presents a method to determine the optimal location, energy capacity, and power rating of distributed battery energy storage systems at multiple voltage levels to accomplish grid control and reserve provision. We model operational scenarios at a ...

Elsevier2020

Cooperative energy management of a community of smart-buildings: A Blockchain approach

Maher Kayal, Olivier Valentin Henri Van Cutsem

Demand Response (DR) is progressively moving from a centralized, unidirectional structure to a set of advanced decentralized mechanisms that better balance distributed supply and demand. This paper presents a decentralized cooperative DR framework to manag ...

ELSEVIER SCI LTD2020

Local Energy Storage and Stochastic Modeling for Ultrafast Charging Stations

Hubert Girault, Heron Vrubel, Yorick Ligen

Multi-stall fast charging stations are often thought to require megawatt-range grid connections. The power consumption profile of such stations results in high cost penalties due to monthly power peaks and expensive linkage fees. A local energy storage sys ...

2019

Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households

Christophe Ballif, Nicolas Würsch, Jordan Holweger, Lionel Benjamin Bloch, Marina Dorokhova

Non-intrusive load monitoring (NILM) has been extensively researched over the last decade. The objective of NILM is to identify the power consumption of individual appliances and to detect when particular devices are on or off from measuring the power cons ...

2019

Climate impact and energy sustainability of future European neighborhoods

Jean-Louis Scartezzini, Dasaraden Mauree, Silvia Coccolo, Amarasinghage Tharindu Dasun Perera

This study presents a comprehensive analysis of typical European city centers energy demand and supply for present time and 2050, according to the Intergovernmental Panel for Climate Change (IPCC) climatic scenario A1B. Two multi-family houses are modeled, ...

2019

Model-based predictive control methods for distributed energy resources in smart grids

Luca Fabietti

This thesis develops optimization-based techniques for the control of distributed energy resources to provide multiple services to the power network. It is divided into three parts. The first part of this thesis focuses on the development of a framework f ...

EPFL2019