STUDY ON CLUSTER ANALYSIS OF THERMODYNAMIC DATA AND ITS APPLICATION IN MODEL IDENTIFICATION

LI Yongtao1; LIU Changliang2; YAN Huaguang1 1.China Electric Power Science Research Institute

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STUDY ON CLUSTER ANALYSIS OF THERMODYNAMIC DATA AND ITS APPLICATION IN MODEL IDENTIFICATION

更新时间：2025-09-28

- STUDY ON CLUSTER ANALYSIS OF THERMODYNAMIC DATA AND ITS APPLICATION IN MODEL IDENTIFICATION
- Thermal Power Generation Vol. 41, Issue 6, Pages: 24-27(2012)
- 作者机构：
  
  1. 中国电力科学研究院
  2. 华北电力大学控制与计算机工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621
- Published：2012
- 稿件说明：
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LI Yongtao1, LIU Changliang2, YAN Huaguang1 1.China Electric Power Science Research Institute. STUDY ON CLUSTER ANALYSIS OF THERMODYNAMIC DATA AND ITS APPLICATION IN MODEL IDENTIFICATION[J]. Thermal power generation, 2012, 41(6): 24-27.
DOI：

LI Yongtao1, LIU Changliang2, YAN Huaguang1 1.China Electric Power Science Research Institute. STUDY ON CLUSTER ANALYSIS OF THERMODYNAMIC DATA AND ITS APPLICATION IN MODEL IDENTIFICATION[J]. Thermal power generation, 2012, 41(6): 24-27. DOI：

摘要

发电厂热工过程具有非线性、大惯性、大延迟的特性

利用欧式谱系聚类分析方法对热工过程进行工况划分

将热工过程的非线性转化为若干个工况点的线性化问题

并把时间戳属性引入聚类分析的数据矩阵中。利用改进微分进化算法对给煤量设定值、主蒸汽压力的辨识结果表明

聚类分析方法能够提高模型辨识中工况划分的合理性

并且在给煤量设定值阶跃扰动时使负荷相对稳定。根据试验数据辨识得到的模型参数存在差异。

Abstract

The thermodynamic process in thermal power plants boasts features of non-liearity

large inertia

and long time delay.By using cluster analysis method in Euro-mode spectrum system

the performance of thermodynamic process has been divided

and the nonlinearity of thermodynamic process having been turned into a problem of linearization at some performance points

and the time stamps being introduced into the data matrix of cluster analysis.The results in identification of set value for coal feed and main steam pressure while using modified differential evolution method show that the cluster analysis can enhance the rationality of performance division in model identification

and making the load to be relatively stable under stepped disturbance of the coal feed set value

but difference still exists in model parameters obtained from identification according to the test data.

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