Abstract

Because of the slow dynamic behavior of the large-inertia wind turbine rotor, variable-speed wind turbines (VSWTs) are actually unable to keep operating at the design tip speed ratio (TSR) during the maximum power point tracking (MPPT) process. Moreover, it has been pointed out that although a larger design TSR can increase the maximum power coefficient, it also greatly prolongs the MPPT process of VSWTs. Consequently, turbines spend more time operating at the off-design TSRs and the wind energy capture efficiency is decreased. Therefore, in the inverse aerodynamic design of VSWTs, the static aerodynamic performance (i.e., the maximum power coefficient) and the dynamic process of MPPT should be comprehensively modeled for determining an appropriate design TSR. In this paper, based on the inverse design method, an aerodynamic optimization method for VSWTs, fully considering the impacts of the design TSR on the static and dynamic behavior of wind turbines is proposed. In this method, to achieve higher wind energy production, the design TSR, chord length and twist angle are jointly optimized, which is structurally different from the conventional separated design procedure. Finally, the effectiveness of the proposed method is validated by simulation results based on the Bladed software.

Highlights

  • Wind energy has been receiving increasing attention as one of the most exploitable renewable energy sources

  • The efficiency of wind energy conversion is mainly dependent on the aerodynamic shape of the wind turbine rotor [1], an essential component of a wind turbine for harvesting wind energy

  • The aerodynamic optimization of wind turbine rotors plays a crucial role in the design of wind turbines

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Summary

Introduction

Wind energy has been receiving increasing attention as one of the most exploitable renewable energy sources. The current aerodynamic design for wind turbines is divided into two major categories: the direct method [2,3,4,5,6,7,8,9,10] and the inverse method [11,12,13,14,15,16,17]. As compared with the former, the latter is distinguished by its clear principle, analytical process and fast convergence. The aerodynamic shape parameters (e.g., the blade chord and twist distributions) are directly obtained via analytical calculation

Methods
Results
Conclusion

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