计算机应用与软件2024,Vol.41Issue(5) :1-8,26.DOI:10.3969/j.issn.1000-386x.2024.05.001

火电机组耗差分析及信息平台设计实现

ANALYSIS OF THERMAL POWER UNIT LOSS AND DESIGN AND REALIZATION OF INFORMATION PLATFORM

孙宇贞 李帅 唐毅伟
计算机应用与软件2024,Vol.41Issue(5) :1-8,26.DOI:10.3969/j.issn.1000-386x.2024.05.001

火电机组耗差分析及信息平台设计实现

ANALYSIS OF THERMAL POWER UNIT LOSS AND DESIGN AND REALIZATION OF INFORMATION PLATFORM

孙宇贞 1李帅 1唐毅伟1
扫码查看

作者信息

  • 1. 上海电力大学自动化工程学院 上海 200090
  • 折叠

摘要

能源日益减少对火电厂节能降耗提出更高的要求,降低机组煤耗是减少电厂运行成本的关键问题.依据机组不同运行方式及参数各自特点,提出采用机组设计值、K-means聚类算法优化运行试验值及变工况计算这三种目标值确定方法.采用锅炉热偏差计算模型与循环函数法对某600 MW火电机组进行耗差分析计算,最终设计实现耗差分析信息平台,为电厂节能降耗给予有效指导.

Abstract

Increasingly less energy puts forward higher requirements for energy saving and consumption reduction in thermal power plants.Reducing coal consumption of unit is the key problem to reduce the operating cost of power plant.According to the characteristics of different operation modes and parameters of the unit,three methods were proposed to determine the target values,which were unit design value,K-means clustering algorithm to optimize the operation test value and variable condition calculation.The boiler thermal deviation calculation model and cyclic function method were used to analyze and calculate the consumption difference of a 600 MW thermal power unit.The information platform of the consumption difference analysis was designed and realized,which provided effective guidance for the power plant to save energy and reduce consumption.

关键词

K-means聚类/目标值/锅炉热偏差/循环函数法/耗差分析/信息平台

Key words

K-means clustering algorithm/Target value/Boiler model calculation method/Cycle functional method/Consumption difference analysis/Information platform

引用本文复制引用

基金项目

国家自然科学基金(52006131)

上海市重点实验室建设项目(13DZ2273800)

上海市科委工程技术研究中心项目(14DZ2251100)

出版年

2024
计算机应用与软件
上海市计算技术研究所 上海计算机软件技术开发中心

计算机应用与软件

CSTPCD北大核心
影响因子:0.615
ISSN:1000-386X
参考文献量23
段落导航相关论文