摘要
通过全流程建模与仿真分析,筛选出对机组负荷具有显著影响的关键参数,构建热力学和控制学协同机理,量化表征主再热蒸汽参数波动下的影响。结果表明:单一参数计算影响大的变量叠加后构成多参数变量,多参数协同变化对能耗呈现不同程度的增量,且不成线性相关,明确增量区间对机组监盘和调控有明显的指导作用,使机组运行有效控制在合理范围内,为电厂深度调峰及精细化运行提供了理论支撑和技术路径。
Through full-process modeling and simulation analysis,key parameters significantly affecting load performance are identified,establishing synergistic mechanisms between thermodynamics and control systems to quantitatively characterize the impacts of main/reheat steam parameter fluctuations.Results indicate that the superposition of individual parameters with significant computational impacts forms multi-parameter variables.The synergistic variation of these parameters induces energy consumption increments of varying degrees,exhibiting non-linear correlations.Defining the incremental ranges provides clear operational guidance for unit monitoring and control,enabling effective regulation within optimal thresholds.This study establishes theoretical foundations and technical support for optimizing power plant operations.
作者
陈时松
杨波
李俊芳
CHEN Shisong;YANG Bo;LI Junfang(Southwest Jiaotong University Hope College,Chengdu,Sichuan 610000)
出处
《能源科技》
2025年第4期53-58,共6页
Energy Science and Technology
基金
四川省第一批现场工程师专项培养计划项目(教职成厅函[2023]6号)
四川省一流本科课程项目(YLKC02942)
西南交通大学希望学院校级数智化改革项目(SZH2024006)。
关键词
仿真建模
全流程
负荷跟踪
多参数
协同变化
simulation modeling
full process
load-following
multi-parameters
synergistic variation
