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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 6/2017

05.01.2016 | Original Article

A second-order sliding mode and fuzzy logic control to optimal energy management in wind turbine with battery storage

verfasst von: Billel Meghni, Djalel Dib, Ahmad Taher Azar

Erschienen in: Neural Computing and Applications | Ausgabe 6/2017

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Abstract

The optimal control of large-scale wind turbine has become a critical issue for the development of renewable energy systems and their integration into the power grid to provide reliable, secure and efficient electricity, despite any possible constraints such as sudden changes in wind speed. This paper deals with the modeling and control of a hybrid system integrating a permanent magnet synchronous generator (PMSG) in variable speed wind turbine (VSWT) and batteries as energy storage system (BESS). Moreover a new supervisory control system for the optimal management and robust operation of a VSWT and a BESS is described and evaluated by simulation under wind speed variation and grid demand changes. In this way, the proposed coordinated controller has three subsystems (generator side, BESS side and grid side converters). The main function of the first one is to extract the maximum wind power through controlling the rotational speed of the PMSG, for this a maximum power point tracking algorithm based on fuzzy logic control and a second-order sliding mode control (SOSMC) theory is designed. The task of the second one is to maintain the required direct current (DC) link voltage level of the PMSG through a bidirectional DC/DC converter, whereas in the last, a (SOSMC) is investigated to achieve smooth regulation of grid active and reactive powers quantities, which provides better results in terms of attenuation of the harmonics present in the grid courant compared with the conventional first-order sliding controller. Extensive simulation studies under different conditions are carried out in MATLAB/Simulink, and the results confirm the effectiveness of the new supervisory control system.
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Metadaten
Titel
A second-order sliding mode and fuzzy logic control to optimal energy management in wind turbine with battery storage
verfasst von
Billel Meghni
Djalel Dib
Ahmad Taher Azar
Publikationsdatum
05.01.2016
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 6/2017
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-015-2161-z

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