本文旨在解决船用发电湿汽轮机系统在使用传统模型和数字驱动方法时，数据完整性和动态仿真精度方面存在局限性的问题。在船用发电湿汽轮机物理试验平台的基础上，采用模块化建模方法，结合自顶向下的需求分析策略和自下而上的建模思想，明确模型的功能要求，并逐步完成各设备模块功能的调试和组合。分析结果显示，静态和变工况仿真结果的数据误差均低于5%，且在变工况下与实际机组情况基本一致。这些仿真结果能够较为真实地反映系统的运行状况，能够为后续船舶动力数字孪生系统的建立和虚实交互提供了基础。
This paper aims to address the limitations in data integrity and dynamic simulation accuracy of marine wet steam turbine systems when utilizing traditional models and digital-driven methods. By utilizing a modular modeling approach built upon the physical experimental system of a marine wet steam turbine for power generation, combined with a top-down requirement analysis strategy and bottom-up modeling approach, the functional requirements of the model were clearly defined, and the debugging and integration of various equipment modules were gradually completed. The analysis results demonstrate that the data errors of both static and variable operating condition simulation results are below 5%, and they closely align with the actual turbine operation under variable conditions. These simulation results provide a realistic reflection of the system's operational status, forming the foundation for the subsequent establishment and virtual-real interaction of a digital twin system for marine power system.
2025,47(4): 105-111 收稿日期：2024-4-15
DOI：10.3404/j.issn.1672-7649.2025.04.017
分类号：U664.113
基金项目：湖北省自然科学基金资助项目（2022CFB939）
作者简介：王劲韬(1999-),男,硕士研究生,研究方向为数字孪生技术的应用
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