燃煤发电机组灵活智能控制策略数据集

本数据集为主要包含干态与湿态两种工况下的多级运行数据及控制数据。数据来源于2023年至2025年东南大学基于MATLAB/Simulink平台开展的燃煤发电机组仿真实验，通过模拟机组在不同负荷条件下的阶跃响应与灵活智能控制实验，系统采集了关键运行参数与控制变量。其中，干态运行数据覆盖100%至30%THA的多级阶跃过程，湿态运行数据涵盖15%至50%THA的阶跃变化；控制数据则分别在两种工况下，基于智能模型预测控制和PI控制策略，对发电功率、主汽压力等输出量设定值进行斜坡变化实验，记录了对应的燃料量、阀门开度等输入量与输出量的动态响应。该数据集详细记录了机组在宽负荷范围内的动态特性与智能控制效果，具有较高的规范性和完整性，其核心价值在于充分展现了燃煤发电机组的全工况运行动态特性与智能控制策略验证效果。

This dataset primarily contains multi-stage operational data and control data under two working conditions: dry state and wet state. The data was collected from simulation experiments of coal-fired power generating units conducted by Southeast University from 2023 to 2025 using the MATLAB/Simulink platform. During these experiments, step response and flexible intelligent control tests of the unit under various load conditions were simulated, and key operating parameters and control variables were systematically acquired. Specifically, the dry-state operational data covers multi-stage step processes ranging from 100% to 30% THA, while the wet-state operational data includes step changes from 15% to 50% THA. For the control data, ramp variation experiments were performed on the setpoints of output variables such as generating power and main steam pressure under both working conditions, utilizing both intelligent model predictive control and PI control strategies. The dynamic responses of corresponding input variables (e.g., fuel flow, valve opening) and output variables were recorded accordingly. This dataset thoroughly documents the dynamic characteristics and intelligent control performance of the unit across a wide load range, boasting high standardization and completeness. Its core value is to fully exhibit the full-operating-condition dynamic characteristics of coal-fired power generating units and the validation effects of intelligent control strategies.

搜集汇总

背景与挑战

背景概述

该数据集基于2023年至2025年东南大学的仿真实验，采集了燃煤发电机组在干态与湿态工况下的多级运行数据及控制数据，涵盖不同负荷条件下的阶跃响应与智能控制实验。它详细记录了机组在宽负荷范围内的动态特性，旨在验证智能控制策略的效果，具有较高的规范性和完整性。