海上风电场电磁散射特性研究方法研究进展

    Research Progress on Research Methods for Electromagnetic Scattering Characteristics of Offshore Wind Farms

    • 摘要: 随着海上风电场的快速建设和布局,大量风力机、升压站和集电系统等风电相关设备在工作过程中会对周边产生电磁干扰。为降低海上风电场干扰带来的负面影响,须着重了解风力机的电磁特性。本文聚焦于海上风电场电磁散射特性分析,系统梳理了当前海上风电场电磁散射特性分析的主要方法,包括实验测量法、高频近似方法(矩量法、物理光学法、物理绕射法、几何光学法和几何绕射法)以及全波数值方法(有限元法和时域有限差分法)。通过对比分析几种方法的适用特性,提出引入多径效应分析、扩大模型适用范围、结合深度学习技术以提高计算效率,并强调综合多种方法以实现更精准的电磁特性分析等未来研究方向,以期为海上风电场的优化布局和电磁兼容性研究提供重要参考,助力海上风电技术的智能化和可持续发展。

       

      Abstract: With the rapid construction and deployment of offshore wind farms, the operation of wind turbines, substation platforms, and power collection systems generates electromagnetic interference to the surrounding environment. To mitigate the negative impacts of this interference, it is crucial to focus on the electromagnetic characteristics of wind turbines. This paper focuses on the analysis of the electromagnetic scattering characteristics of offshore wind farms. It systematically reviews the main methods currently used for this analysis, including experimental measurement methods, High-frequency approximation methods (such as the Method of Moments, Physical Optics, Physical Theory of Diffraction, Geometrical Optics, and Geometrical Theory of Diffraction), and full-wave numerical methods (such as the Finite Element Method and the Finite-Difference Time-Domain method). Through comparative analysis, the study Highlights the limitations of each method in practical applications. In response to these challenges, the paper proposes future research directions: incorporating multi-path effect analysis, expanding the applicability of models, integrating deep learning techniques to improve computational efficiency, and emphasizing the combination of multiple methods to achieve more accurate electromagnetic characteristic analysis. These research findings will provide important references for the optimal layout of offshore wind farms and the study of electromagnetic compatibility, thereby facilitating the intelligent and sustainable development of offshore wind power technology.

       

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