The purpose of this paper is to develop and validate mathematical models of different elements or subsystems of our hybrid power generation system. Each component is modeled as a modular block that can easily be electrically connected to other subsystems. We used the software Matlab®-Simulink R2012a for implementation of our different models. The equations used here are empirical-semi empirical equations and allowed us to model our different components to describe correctly phenomena involved. It was necessary to have data from manufacturer such as polarization curve, surface of an elementary cell, coefficient related to threshold operating parameters, auxiliary consumption parameters and gas stoichiometry. All these allowed us to build under Matlab®-Simulink, photovoltaic panels block, battery pack block, fuel cell block, electrolyzer block and all curves representing different powers produced or consumed and different gases produced or consumed.Keywords: Modeling, Mathematical Models, Subsystems, Hybrid System, Modular Block
ResumeLe but de cet article est de développer et de valider des modèles mathématiques des différents éléments ou sous-systèmes de notre système hybride de production d'électricité. Chaque composant est modélisé comme un bloc modulaire qui peut facilement être connecté électriquement à d'autres sous-systèmes. Nous nous sommes servis pour cela du logiciel Matlab®-
This article proposes an innovative strategy to the problem of non-linear estimation of states for electrical machine systems. This method allows the estimation of variables that are difficult to access or that are simply impossible to measure. Thus, as compared with a full-order sliding mode observer, in order to reduce the execution time of the estimation, a reduced-order discrete-time Extended sliding mode observer is proposed for on-line estimation of rotor flux, speed and rotor resistance in an induction motor using a robust feedback linearization control. Simulations results on Matlab-Simulink environment for a 1.8 kW induction motor are presented to prove the effectiveness and high robustness of the proposed nonlinear control and observer against modeling uncertainty and measurement noise.
Renewables Energies, allowing decentralized electricity production, can help to solve the problem of electrification of isolated sites where a large number of people are devoid of any energy supply. This article aims at sizing and studying the management of energy flows in a hybrid multi-source system. The energy management strategy is an algorithm that determines at each moment the sharing of power between the various components of the system. The dimensioning allowed to obtain a good overall operation and to limit the cost of the installation. The sizing tools also allowed to define the solar power and storage volume needed to meet the demand of the given load. The strategy that we present in this article is a technique of optimized management of the energy of the hybrid system studied in order to limit the losses of conversion. This strategy reduces the size of the various components such as the PV field, the battery pack, the electrolyser and the fuel cell as well as the production costs.
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