You are in:Home/Publications/Meghni B, Dib D, Azar AT, Ghoudelbourk S, Saadoun A (2017) Robust Adaptive Supervisory Fractional order Controller For optimal Energy Management in Wind Turbine with Battery Storage. Studies in Computational Intelligence, Vol. 688, pp 165-202, Springer-Verlag, Germany

Dr. Assoc. Prof. Ahmad Taher Azar :: Publications:

Title:
Meghni B, Dib D, Azar AT, Ghoudelbourk S, Saadoun A (2017) Robust Adaptive Supervisory Fractional order Controller For optimal Energy Management in Wind Turbine with Battery Storage. Studies in Computational Intelligence, Vol. 688, pp 165-202, Springer-Verlag, Germany
Authors: Not Available
Year: 2017
Keywords: Not Available
Journal: Studies in Computational Intelligence
Volume: 688
Issue: Not Available
Pages: 165-202
Publisher: Springer
Local/International: International
Paper Link:
Full paper Not Available
Supplementary materials Not Available
Abstract:

To address the challenges of poor grid stability, intermittency of wind speed, lack of decision-making, and low economic benefits, many countries have set strict grid codes that wind power generators must accomplish. One of the major factors that can increase the efficiency of wind turbines (WTs) is the simultaneous control of the different parts in several operating area. A high performance controller can significantly increase the amount and quality of energy that can be captured from wind. The main problem associated with control design in wind generator is the presence of asymmetric in the dynamic model of the system, which makes a generic supervisory control scheme for the power management of WT complicated. Consequently, supervisory controller can be utilized as the main building block of a wind farm controller (offshore), which meets the grid code requirements and can increased the efficiency of WTs, the stability and intermittency problems of wind power generation. This Chapter proposes a new robust adaptive supervisory controller for the optimal management of a variable speed turbines (VST) and a battery energy storage system (BESS) in both regions (II and III) simultaneously under wind speed variation and grid demand changes. To this end, the second order sliding mode (SOSMC) with the adaptive gain super-twisting control law and fuzzy logic control (FLC) are used in the machine side, BESS side and grid side converters.

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