系统仿真学报 ›› 2024, Vol. 36 ›› Issue (3): 636-648.doi: 10.16182/j.issn1004731x.joss.22-1307

• 论文 • 上一篇    下一篇

风电机组运行动态数字孪生建模及半物理仿真

胡阳1,2(), 王蔚然1, 房方1,2, 宋子秋1, 许昱涵1(), 刘吉臻1,2   

  1. 1.华北电力大学 控制与计算机工程学院,北京 102206
    2.新能源电力系统全国重点实验室,北京 102206
  • 收稿日期:2022-11-03 修回日期:2022-12-30 出版日期:2024-03-15 发布日期:2024-03-14
  • 通讯作者: 许昱涵 E-mail:hooyoung@ncepu.edu.cn;xuyuhan@ncepu.edu.cn
  • 第一作者简介:胡阳(1986-),男,副教授,博士,研究方向为新能源电力系统建模与控制。E-mail:hooyoung@ncepu.edu.cn
  • 基金资助:
    国家重点研发计划(2020YFB1506602);国家自然科学基金青年基金(51906064);华能集团总部科技项目(HNKJ20-H88)

Dynamic Digital Twin Modelling and Semi-Physical Simulation of Wind Turbine Operation

Hu Yang1,2(), Wang Weiran1, Fang Fang1,2, Song Ziqiu1, Xu Yuhan1(), Liu Jizhen1,2   

  1. 1.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
    2.State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, Beijing 102206, China
  • Received:2022-11-03 Revised:2022-12-30 Online:2024-03-15 Published:2024-03-14
  • Contact: Xu Yuhan E-mail:hooyoung@ncepu.edu.cn;xuyuhan@ncepu.edu.cn

摘要:

面向数字孪生技术所提出的精准映射与实时仿真需求,针对大型风电机组复杂非线性运行特性,提出了一种多输入-多输出(multi-input multi-output, MIMO)有限差分域-混合半机理(finite difference domain-hybrid semi-mechanical, FDD-HSM)数字孪生建模方法,建立了含物理控制器的风电机组数字孪生半物理仿真系统。推导机组集成动态MIMO-FDD-HSM模型结构;定义可表征机组运行工况的有限差分回归向量,完成全工况下有限差分空间紧致凸划分、参数模型辨识以及非参数模型训练;联合物理控制器搭建风电机组数字孪生仿真系统,开展硬件在环实时仿真。结果表明:该仿真系统具有高精度、实时逼近能力。

关键词: 风力发电, 数字孪生, 混合半机理, 有限差分域, 半物理仿真

Abstract:

For the accurate mapping and real-time simulation requirements proposed by digital twin technology, a multi-input multi-output (MIMO) finite difference domain-hybrid semi-mechanical (FDD-HSM) digital twin modeling method is proposed, and a semi-physical simulation system of wind turbine digital twin with physical controller is established for the complex nonlinear operation characteristics of large wind turbines. The integrated dynamic MIMO-FDD-HSM model structure is constructed. Finite difference regression vectors are defined to characterize the operating conditions of the wind turbine, and finite difference space tight convex partitioning, parametric model identification, and non-parametric model training are completed under full operating conditions. The wind turbine digital twin simulation system is built in conjunction with the physical controller to carry out real-time hardware-in-the-loop simulation. The results show that the simulation system has high accuracy and real-time approximation capability.

Key words: wind power generation, digital twin, hybrid semi-mechanical, finite difference domain, semi-physical simulation

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