MODELISATION ET SIMULATION D’UN SYSTEME DE PRODUCTION D’ENERGIE RENOUVELABLE MULTI-SOURCES ET MULTI-UTILISATEURS

Ce papier contribue à la gestion de la consommation et de la production d'énergie dans un bâtiment équipée de multiple systèmes de sources d’énergie (photovoltaïque, thermique, éolien et système de stockage). La modélisation et la simulation des composants thermiques du bâtiment sont présentées. Aussi la modélisation et la simulation du système hybride combinant les deux sources d’énergies renouvelables qui sont l’éolien, le solaire et afin d’adapter la production des sources renouvelables au besoin de la charge, nous intégrons une batterie de stockage. Pour analyser les besoins énergétiques du secteur des bâtiments, une modélisation de différents équipements électriques a également été développée. Enfin, une gestion globale efficace permet au système de fournir un rendement optimal global et efficace

Mechanical speed estimation of a DFIG based on the Unscented Kalman Filter (UKF)

This work proposes a new estimation technique for the doubly-fed induction generator (DFIG) variables. Researchers have designed numerous sensorless control strategies for the DFIG used either for mechanical speed, electromagnetic torque, or rotor position estimation. In this paper, an analysis of an Unscented Kalman Filter (UKF) will be presented as an observer for both rotor and stator currents, and mechanical speed, which are key information in DFIG control. The performance of the proposed observer has been validated in a 9 MW wind turbine under MATLAB/Simulink. Based on the results obtained, UKF is safely able to replace mechanically coupled sensors which have many disadvantages such as high cost, maintenance, and cabling requirements

Analysis and Simulation of the Energy Behavior of a Building Equipped with RESin Simscape

AbstractThe objective of this paper is to develop a simulation tool for analysis of the consumptions of a building equipped with solar and wind energy sources, using multi-physics description software package known as Simscape. The main goal of this tool is to be able to understand the nonlinear dynamics and behaviour of the energy consumption of a building in real time. This way will lead us to be able to predict, in real time, the energy needed depending on the weather

Power transfer control using the integral sliding mode and adaptive backstepping control schemes within the framework of the vehicle-to-house technology

The emerging Vehicle-to-Grid (V2G) technology has gained a lot of praise in the last few years, following its experimental validation in several countries. As a result, this technology is being investigated for standalone houses under the name of Vehicle-To-House (V2H). This latter proposes a two-way power transfer between the electric vehicles and isolated houses relying on renewable sources for power supply. In this paper an implementation of the V2H technology is investigated, using the adaptive backstepping control approach for the bidirectional half-bridge and the integral sliding mode control for the DC-DC converter. The robustness of the controller and its capability to respond to the desired performances were tested using different realistic scenarios. The obtained results yielded, a perfect sinusoidal output voltage with a voltage level of 220V and a frequency of 50Hz. This is further been validated by a frequency analysis resulting in a THD of 0.25%