73 research outputs found
PV-powered electric vehicle charging stations:Preliminary requirements and feasibility conditions
Production décentralisée d’électricité renouvelable. Micro-réseaux urbains et réseau électrique intelligent
Introduction Le maintien de la sûreté des grands réseaux d’énergie électrique pose actuellement de plus en plus de problèmes en raison de la profonde mutation (libération du marché, réseaux intelligents, accroissement des interconnexions,…) subie par ce système concomitant à des nouvelles contraintes environnementales et économiques. Le recours à une production d’électricité décentralisée (PED), sur la base des énergies renouvelables, s’est imposé de plus en plus dans la dernière décennie. D’..
Micro-réseau DC dédié aux infrastructures de recharge des véhicules électriques et hybrides
International audienc
Intelligent Energy Management of Electrical Power Systems
Smart grid implementation is facilitated by multi-source energy systems development, i.e., microgrids, which are considered the key smart grid building blocks. Whether they are alternative current (AC) or direct current (DC), high voltage or low voltage, high power or small power, integrated into the distribution system or the transmission network, multi-source systems always require an intelligent energy management that is integrated into the power system. A comprehensive intelligent energy system aims at providing overall energy efficiency with regard to the following: increased power generation flexibility, increased renewable generation systems, improved energy consumption, reduced CO2 emission, improved stability, and minimized energy cost. This Special Issue presents recent key theoretical and practical developments that concern the models, technologies, and flexible solutions to facilitate the following optimal energy and power flow strategies: the techno-economic model for optimal sources dispatching (mono and multi-objective energy optimization), real-time optimal scheduling, and real time optimization with model predictive control
Micro-réseau DC dédié aux infrastructures de recharge des véhicules électriques et hybrides
International audienc
Modeling and Simulation of DC Microgrids for Electric Vehicle Charging Stations
This paper focuses on the evaluation of theoretical and numerical aspects related to an original DC microgrid power architecture for efficient charging of plug-in electric vehicles (PEVs). The proposed DC microgrid is based on photovoltaic array (PVA) generation, electrochemical storage, and grid connection; it is assumed that PEVs have a direct access to their DC charger input. As opposed to conventional power architecture designs, the PVA is coupled directly on the DC link without a static converter, which implies no DC voltage stabilization, increasing energy efficiency, and reducing control complexity. Based on a real-time rule-based algorithm, the proposed power management allows self-consumption according to PVA power production and storage constraints, and the public grid is seen only as back-up. The first phase of modeling aims to evaluate the main energy flows within the proposed DC microgrid architecture and to identify the control structure and the power management strategies. For this, an original model is obtained by applying the Energetic Macroscopic Representation formalism, which allows deducing the control design using Maximum Control Structure. The second phase of simulation is based on the numerical characterization of the DC microgrid components and the energy management strategies, which consider the power source requirements, charging times of different PEVs, electrochemical storage ageing, and grid power limitations for injection mode. The simulation results show the validity of the model and the feasibility of the proposed DC microgrid power architecture which presents good performance in terms of total efficiency and simplified control
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