赵帅,顾煜炯,李欣,卢禹,赵俊荣

• 1:华北电力大学能源动力与机械工程学院

摘要(Abstract)：

为响应国家“双碳”战略，供热机组的优化运行对于节能减排有重要意义，如何确定真实可靠的能效状态基准值是运行优化的关键所在。基于数据挖掘算法，对机组历史数据进行分析：首先，以负荷和供热流量为特征量，采用区间估计的方法进行稳态筛选；其次，针对机组供热期和纯凝期，采用等间隔分类方法对其进行工况划分；然后，对每个稳态工况内的数据，采用高斯混合模型（Gaussian mixture model,GMM）算法模型，选择出热耗率最低时的样本作为基准样本，基于基准样本进一步估计其概率密度分布，从而获得各工况下能效状态的基准区间；采用BP算法建立能效状态基准回归模型，从而建立机组多元工况下的基准值工况库。最后，选取某320 MW供热机组历史数据进行方法验证和在线实时监测。分析结果表明，该方法可以优化机组运行，达到节能减排的目标。

关键词(KeyWords)： 供热机组;稳态筛选;工况划分;能效状态基准;运行优化

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划项目(2017YFB0603904-4)~~

作者(Author): 赵帅,顾煜炯,李欣,卢禹,赵俊荣

DOI: 10.19666/j.rlfd.202108151

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