Abstract

In this paper the role of wind energy conversion systems (WECS) was investigated, In particular, variable speed wind turbines (VSWT) based on double-fed induction-generator (DFIG) in control and th...

Highlights

  • Nowadays reduced economic dependency on fossil fuels due to ever-increasing energy demands, limitation of fossil fuel resources, environmental pollution caused by fossil fuels, global warming, greenhouse effects, and many other factors have led the world to focus on renewable energies [1,2]

  • double-fed induction-generator (DFIG) with the capability of power production is produced in different mechanical speeds, By releasing stored mechanical energy in their blades, DFIGs are able to quickly reduce the speed when the frequency drop occurs, supporting conventional generators in tuning frequency

  • This capability is obvious in different penetration level of WTs

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Summary

Introduction

Nowadays reduced economic dependency on fossil fuels due to ever-increasing energy demands, limitation of fossil fuel resources, environmental pollution caused by fossil fuels, global warming, greenhouse effects, and many other factors have led the world to focus on renewable energies [1,2]. The role of DFIG based wind turbines, in control and tune of frequency were considered and various wind power penetration in a MG compromising of conventional generators were studied. Setting the desired DFIGs speed controllers by using PSO algorithm for various wind power penetration levels has been done and the results were compared to the ISE in references [23]. Simulation results revealed that the proposed technique could improve the quality of frequency variation and conventional generators power variation imposed by overload and perturbations into MG. This improvement was obtained in any penetration level of wind power. The best quality of frequency variation in a MG was recorded roughly at 15–20% penetration level

Wind energy conversion system
DFIG-based wind turbine
Thermal and non-thermal turbines control system model
Optimum tuning of DFIG-based WTS speed controller parameters
Simulation results
Findings
Conclusion
Full Text
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