Comprehensive evaluation method for thermal power units based on principal component analysis and cluster analysis

WANG Shoupeng; ZHAO Dongmei; SHANG Liqun; CHEN Chi

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Comprehensive evaluation method for thermal power units based on principal component analysis and cluster analysis

Thermal Power Generation Issue 4, (2017)

更新时间：2025-09-28

- Comprehensive evaluation method for thermal power units based on principal component analysis and cluster analysis
- 作者机构：
  
  1. 华北电力大学电气与电子工程学院,北京,102206
  2. 西安科技大学电气与控制工程学院,陕西,西安,710054
  3. 华能应城热电有限公司，湖北应城,432406
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM621
- Published Online：26 April 2017，
  
  Published：2017
- 稿件说明：
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WANG Shoupeng, ZHAO Dongmei, SHANG Liqun, et al. Comprehensive evaluation method for thermal power units based on principal component analysis and cluster analysis[J]. Thermal Power Generation, 2017, (4).
DOI：

WANG Shoupeng, ZHAO Dongmei, SHANG Liqun, et al. Comprehensive evaluation method for thermal power units based on principal component analysis and cluster analysis[J]. Thermal Power Generation, 2017, (4). DOI：

摘要

针对火电机组运行状态评价中涉及到的多指标体系的综合评价问题，本文将主成分分析和聚类分析相结合应用于机组运行状况综合评价。首先运用主成分分析法对单一指标评价体系进行综合，抽取影响火电机组运行状况的主要因素；然后以提取出的主成分作为新的数据矩阵进行聚类分类，避免了经典聚类定性选择聚类变量的主观性；最后利用主成分得分的大小来量化各因素的优劣性，评价结果全面地反映了机组的整体运行状况。实例分析结果验证了本文所提方法的有效性。

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