海上风电机组联合仿真接口数据交互优化技术研究

程成; 郭子腾; 张琛; 张宇; 宗皓翔

doi:10.19805/j.cnki.jcspe.2025.250291

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

海上风电机组联合仿真接口数据交互优化技术研究

更新时间：2026-10-10

- 海上风电机组联合仿真接口数据交互优化技术研究
- Research on Optimization of Co-simulation Interface Data Exchange for Offshore Wind Turbine
- 动力工程学报 2025年45卷第10期页码：1648-1655
- 作者机构：
  
  上海交通大学电气工程学院,上海,200240
- 作者简介：
  
  程成(2001—),男,安徽合肥人,硕士,研究方向为电气工程及其自动化,E-mail:casualc@sjtu.edu.cn
- 基金信息：
  
  深远海风电场集群协同优化与控制关键技术资助项目(2023YFB4203200)
- DOI：10.19805/j.cnki.jcspe.2025.250291
  中图分类号：
- 网络首发：2025-07-02，
  
  纸质出版：2025
- 稿件说明：
移动端阅览
程成,郭子腾,张琛,张宇,宗皓翔. 海上风电机组联合仿真接口数据交互优化技术研究动力工程学报, 2025, 45(10): 1648-1655 https://doi.

org/10.19805/j.cnki.jcspe.2025.250291
程成,郭子腾,张琛,张宇,宗皓翔. 海上风电机组联合仿真接口数据交互优化技术研究动力工程学报, 2025, 45(10): 1648-1655 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.250291.

org/10.19805/j.cnki.jcspe.2025.250291 DOI：

摘要

针对海上风电机组多学科联合仿真中因通信接口延时与多速率采样引发的仿真精度下降问题

研究了优化接口数据交换技术

以提升气-机-电耦合特性的模拟准确性。提出基于Hermite插值算法的联合仿真接口优化方案

并建立误差数学模型

对比传统零阶保持器(ZOH)与优化接口的误差量级。通过搭建简化的机电联合仿真平台来验证接口性能

并进一步在构建的完整海上风电联合仿真系统中部署优化接口。结果表明:在简化二阶系统中

Hermite插值接口可显著降低仿真误差量级;在完整的机电联合仿真中

采用优化后的接口数据交互方案后

系统保真度显著提升

响应特征更贴近真实工况;Hermite插值外推技术通过优化多学科模型间的数据交互过程

有效解决了联合仿真中的接口失真问题。

Abstract

Aiming at the problem of decreased simulation accuracy caused by communication interface delay and multi-rate sampling in multi-disciplinary co-simulation of offshore wind turbines

an optimized interface data exchange technology was studied to improve the simulation accuracy of gas-mechanical-electro coupling characteristics. An interface-optimization scheme based on Hermite interpolation was proposed

a mathematical error model was established to compare the error magnitudes of the zero-order hold (ZOH) with the optimized interface. A simplified electro-mechanical co-simulation platform was constructed to verify the interface performance

and the optimized interface was then deployed in a fully coupled offshore-wind simulation system. Results show that in the simplified second-order test

the Hermite-interpolation interface reduces the simulation error magnitude significantly. In the full electro-mechanic simulation

after adopting the optimized interface data exchange scheme

the fidelity of the system is significantly improved

and the response characteristics are closer to real working conditions. By refining the data transfer among cross-disciplinary models

Hermite extrapolation effectively eliminates interface-induced distortions in co-simulation.

关键词

Keywords

references

The GWEC Team. GWEC's global offshore wind report 2025[R]. London: [s.n.], 2025.

GONG Yingjie, YANG Qinmin, GENG Hua, et al. Dynamic modeling and control for an offshore semisubmersible floating wind turbine[J]. IEEE Transactions on Automation Science and Engineering, 2025, 22: 12371-12382.

胡阳, 张冲, 房方, 等. 基于主动尾流控制的风电机群协同优化调度[J]. 动力工程学报, 2024, 44(4): 566-574. HU Yang, ZHANG Chong, FANG Fang, et al. Cooperative and optimal scheduling of wind turbine groups based on active wake control[J]. Journal of Chinese Society of Power Engineering, 2024, 44(4): 566-574.

贾锋, 蔡旭, 李征, 等. 风电机组精细化建模及硬件在环实时联合仿真[J]. 中国电机工程学报, 2017, 37(4): 1239-1251. JIA Feng, CAI Xu, LI Zheng, et al. Refined modeling of wind energy conversion systems and real-time co-simulation with hardware-in-loop[J]. Proceedings of the CSEE, 2017, 37(4): 1239-1251.

郭子腾, 张宇, 张琛, 等. 基于虚拟同步相角补偿的构网型双馈风电机组轴系扭振阻尼控制[J]. 高电压技术, 2025, 51(3): 1318-1328. GUO Ziteng, ZHANG Yu, ZHANG Chen, et al. Damping control of grid-forming DFIG-based wind turbine based on virtual synchronous phase angle compensation[J]. High Voltage Engineering, 2025, 51(3): 1318-1328.

STOCKHOUSE D, PHADNIS M, GRANT E, et al. Control of a floating wind turbine on a novel actuated platform[C]//Proceedings of the 2022 American Control Conference (ACC). Atlanta: IEEE, 2022: 3532-3537.

WANG Tianyuan, ZHU Kai, CAO Feifei, et al. A coupling framework between OpenFAST and WEC-Sim. part I: validation and dynamic response analysis of IEA-15-MW-UMaine FOWT[J]. Renewable Energy, 2024, 225: 120249.

黄心伟, 柳亦兵, 刘剑韬, 等. 半潜式平台结构尺寸对海上风电机组稳定性的影响研究[J]. 动力工程学报, 2024, 44(12): 1878-1886. HUANG Xinwei, LIU Yibing, LIU Jiantao, et al. Impact of structural dimensions of semi-submersible platform on the stability of offshore wind turbines[J]. Journal of Chinese Society of Power Engineering, 2024, 44(12): 1878-1886.

张文广, 孙嘉壕, 骆伟健, 等. 漂浮式海上双转子风力机动态响应研究[J]. 动力工程学报, 2023, 43(11): 1461-1468. ZHANG Wenguang, SUN Jiahao, LUO Weijian, et al. Dynamic response of offshore floating dual-rotor wind turbine[J]. Journal of Chinese Society of Power Engineering, 2023, 43(11): 1461-1468.

XIAO Q, ZHANG Y, LEE D, et al. Design and implementation of scalable communication interfaces for reliable and stable real-time co-simulation of power systems[R].[S.l.]:arXiv, 2025.

陈娟, 赵君伟, 付永领, 等. 基于多软件协同仿真的六自由度平台虚拟试验系统[J]. 机床与液压, 2017, 45(17): 20-23. CHEN Juan, ZHAO Junwei, FU Yongling, et al. Virtual test system based on multi co-simulation software of six degrees of freedom platform[J]. Machine Tool & Hydraulics, 2017, 45(17): 20-23.

郭金中. 基于Amesim软件的流体传动系统联合仿真方法研究[D]. 沈阳: 沈阳工业大学, 2022.

贾锋. 风电机组多目标综合优化控制关键技术研究[D]. 上海: 上海交通大学, 2018.

BURAIMOH E, OZKAN G, TIMILSINA L, et al. Overview of interface algorithms, interface signals, communication and delay in real-time co-simulation of distributed power systems[J]. IEEE Access, 2023, 11: 103925-103955.

REN Wei, STEURER M, BALDWIN T L. An effective method for evaluating the accuracy of power hardware-in-the-loop simulations[J]. IEEE Transactions on Industry Applications, 2009, 45(4): 1484-1490.

KOBAYASHI K, UCHIMURA Y. Model based predictive control for a system with long time delay[C]//Proceedings of the 2018 IEEE 15 th International Workshop on Advanced Motion Control (AMC). Tokyo: IEEE, 2018.

董乐. 大型海上风力发电双平台联合仿真研究[D]. 青岛: 青岛科技大学, 2022.

VOGEL S, RAJKUMAR V S, NGUYEN H T, et al. Improvements to the co-simulation interface for geographically distributed real-time simulation[C]//Proceedings of the IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society. Lisbon: IEEE, 2019: 6655-6662.

BURDEN R L, FAIRES J D. Numerical analysis[M]. 9th ed. Seattle: Brooks/Cole, 2011.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

风速分布差异及波浪因素对海上风电机组运行特性的影响研究

基于Leckner模型的氨掺烧高水蒸气浓度烟气对燃煤锅炉传热特性的影响分析

分形特征对漂浮式风力机仿生平台动态响应的影响

奇异值分解用于早期摩擦故障诊断的研究

基于TDLAS的二维温度场与H2O浓度场重建研究