机理-数据混合驱动的热力系统智能化建模的研究数据集

本数据集基于600MW级超超临界、300MW级超临界及300MW级亚临界燃煤发电机组，通过系统仿真平台构建的高精度动态模型生成。数据内容涵盖主蒸汽压力/温度、再热汽温、壁温、烟气参数等多工况关键热力参数，完整反映了锅炉、汽轮机及辅机系统的动态耦合特性。数据来源于机理与数据驱动相结合的混合建模方法，依据设计参数与现场数据，并利用专业软件集成计算生成。分析上通过对仿真数据进行稳态误差分析、动态响应提取及多变量关联研究，揭示了机组灵活运行的内在规律。其核心价值在于为深度调峰与快速变负荷研究提供了高保真、可重复的分析基础，经验证稳态误差小于2%、动态误差不超过4%，能可靠支撑控制优化、构型对比与安全评估。

This dataset is derived from high-precision dynamic models built for 600MW-class ultra-supercritical, 300MW-class supercritical and 300MW-class subcritical coal-fired generating units through system simulation platforms. It covers key thermal parameters under various operating conditions, including main steam pressure/temperature, reheat steam temperature, wall temperature, flue gas parameters and others, and fully reflects the dynamic coupling characteristics of boiler, steam turbine and auxiliary systems. The dataset is generated via hybrid modeling approaches that combine mechanism-based and data-driven methods, relying on design parameters and on-site data, and produced through integrated calculations using professional software. Through steady-state error analysis, dynamic response extraction and multi-variable correlation studies on the simulated data, the inherent operational laws of the units under flexible operating conditions are uncovered. Its core value lies in providing a high-fidelity and reproducible analytical foundation for research on deep peak shaving and rapid load changes. Verified to have a steady-state error of less than 2% and a dynamic error not exceeding 4%, this dataset can reliably support control optimization, configuration comparison and safety assessment.

搜集汇总

背景与挑战

背景概述

该数据集基于600MW级超超临界、300MW级超临界及亚临界燃煤发电机组，通过系统仿真平台生成高精度动态模型数据，涵盖主蒸汽压力/温度、再热汽温等多工况关键热力参数，完整反映锅炉、汽轮机及辅机系统的动态耦合特性。它采用机理与数据驱动相结合的混合建模方法，经验证稳态误差小于2%、动态误差不超过4%，为深度调峰与快速变负荷研究提供了可靠的分析基础，支持控制优化、构型对比与安全评估。