An Adaptative Control Management Strategy Applied to a Hybrid Renewable Energy System
| Autor: | David Ouoba, Abdellah Ailane, Zakaria Sabiri, Nadia Machkour, Khalid El Majdoub, Elm'kaddem Kheddioui |
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| Rok vydání: | 2017 |
| Předmět: |
Power management
Engineering business.industry 020209 energy Mechanical Engineering General Chemical Engineering Induction generator Photovoltaic system Control engineering 02 engineering and technology Maximum power point tracking Variable speed wind turbine Modeling and Simulation Backstepping Hybrid system 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Energy source business |
| Zdroj: | International Review on Modelling and Simulations (IREMOS). 10:258 |
| ISSN: | 1974-983X 1974-9821 |
| DOI: | 10.15866/iremos.v10i4.12044 |
| Popis: | This paper covers the modeling and control of a hybrid system made up of a photovoltaic field, a variable speed wind turbine based on an asynchronous Doubly-Fed Induction Generator and a storage battery. The main objective of this work is to control the energy sources separately to extract the maximum of power from solar and wind energies. For this purpose, we use a non-linear Backstepping controller based on Lyapunov functions to command the system and maintain its stability. Then, a management algorithm will be implemented to explore the collected energy. The verification of the achieved study will be done in a simulation within the Matlab/Simulink environment. The contribution of this paper is supposed to present a new power management architecture. |
| Databáze: | OpenAIRE |
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