| 引用本文: | 黄思哲,裴建华,王镜毓,陈金富,姚伟,段献忠.计及尾流效应的海上风电场风速重构与动态调频能力评估[J].电力自动化设备,2025,45(12):91-98. |
| HUANG Sizhe,PEI Jianhua,WANG Jingyu,CHEN Jinfu,YAO Wei,DUAN Xianzhong.Capability assessment of wind speed reconstruction and dynamic frequency regulation for offshore wind farm under wake effect consideration[J].Electric Power Automation Equipment,2025,45(12):91-98. |
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| 摘要: |
| 为提升海上风电场动态调频能力评估的准确性，针对尾流效应与大气环流耦合导致的风电机组入流风速建模难题，提出一种基于去噪扩散概率模型的海上风电场时空风速重构方法。通过训练去噪扩散概率模型挖掘风电场内入流风速复杂时空关联特征，并基于有限入流风速观测点重构计及尾流效应的全场站运行风速，有效提升了计算效率与非线性关系的表征精度。在此基础上，融合风电机组控制策略与实时运行动态，建立海上风电场调频能力动态评估方法，实现时间与空间双重维度下风电机组调频能力的精准评估。仿真结果表明所提方法能够高精度重构复杂风况下的风电机组入流风速，对不同风速场景具有良好的鲁棒性，显著提升了动态风况下风电场调频能力评估的准确性。 |
| 关键词: 海上风电场 主动调频 动态评估 时空风速重构 尾流效应 去噪扩散概率模型 |
| DOI：10.16081/j.epae.202510002 |
| 分类号:TM614 |
| 基金项目:国家自然科学基金资助项目(U24B2087)；智能电网国家科技重大专项项目(2024ZD0801100) |
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| Capability assessment of wind speed reconstruction and dynamic frequency regulation for offshore wind farm under wake effect consideration |
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HUANG Sizhe, PEI Jianhua, WANG Jingyu, CHEN Jinfu, YAO Wei, DUAN Xianzhong
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State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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| Abstract: |
| To improve the evaluation accuracy of dynamic frequency regulation performance for offshore wind farm, aiming at the modeling challenge of inflow wind speed caused by the coupling of wake effect and atmospheric circulation, a spatio-temporal wind speed reconstruction method for offshore wind farm based on denoising diffusion probabilistic model is proposed. By training the denoising diffusion probabilistic model, the complex spatio-temporal correlation features of inflow wind speed within the wind farm are extracted, and the operational wind speed across the entire site is reconstructed based on the limited inflow wind speed observation points while accounting for wake effect. The method effectively improves computational efficiency and the accuracy of nonlinear relationship. Based on this, by integrating wind turbine control strategies and real-time operational dynamics, a dynamic evaluation method for the frequency regulation capability of offshore wind farm is established, enabling precise evaluation of wind turbine frequency regulation capability across both temporal and spatial dimensions. The simulative results demonstrate that the proposed method can accurately reconstruct the wind turbine inflow wind speed under complex wind conditions, exhibit good robustness across different wind speed scenarios, and significantly improve the accuracy of frequency regulation capability assessment for wind farm under dynamic wind speed conditions. |
| Key words: offshore wind farm active frequency regulation dynamic assessment spatio-temporal wind speed reconstruction wake effect denoising diffusion probabilistic model |
