Comprehensive evaluation of gas power plant based on entropy weight grey relevance degree fused with principal component analysis

FU Zhongguang; YANG Yunxi; LIU Binghan

doi:10.19666/j.rlfd.201908196

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Comprehensive evaluation of gas power plant based on entropy weight grey relevance degree fused with principal component analysis

更新时间：2025-09-28

- Comprehensive evaluation of gas power plant based on entropy weight grey relevance degree fused with principal component analysis
- Thermal Power Generation Vol. 49, Issue 2, Pages: 71-76(2020)
- 作者机构：
  
  1. 华北电力大学电站设备状态监测与控制教育部重点实验室
  2. 中国司法大数据研究院有限公司
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201908196
  CLC： TM621
- Published Online：15 January 2020，
  
  Published：2020
- 稿件说明：
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FU Zhongguang, YANG Yunxi, LIU Binghan. Comprehensive evaluation of gas power plant based on entropy weight grey relevance degree fused with principal component analysis[J]. Thermal power generation, 2020, 49(2): 71-76.
DOI：

FU Zhongguang, YANG Yunxi, LIU Binghan. Comprehensive evaluation of gas power plant based on entropy weight grey relevance degree fused with principal component analysis[J]. Thermal power generation, 2020, 49(2): 71-76. DOI： 10.19666/j.rlfd.201908196.

摘要

本文根据燃煤电厂评价指标的选取准则

结合燃气电厂的特点

从安全环保、可靠性、设备管理、经济生产和运行状况5个方面建立了燃气电厂多级评价体系。在该多级评价体系中使用熵权灰色关联度法评价三级指标

得到二级指标评价结果;利用主成分分析法计算二级指标评价结果

得出燃气电厂整体性能排名。为验证本文方法的可行性和准确度

对6个不同类型已投运的燃气电厂进行实例分析

并与熵权灰色关联度法和熵权TOPSIS法的评价结果进行比较。结果表明:本文方法计算结果最优

各级指标对燃气电厂整体性能的影响与实际情况相同。这一结果为燃气电厂综合评价提供了建模方法和指标选取依据。

Abstract

According to the criteria of selecting evaluation indexes for coal-fired power plants and the characteristics of gas-fired power plants

this paper establishes a multi-level evaluation system for gas-fired power plants considering five aspects including safety and environmental protection

reliability

equipment management

economic production and operation. The entropy weight grey correlation degree method is used to evaluate the three-level indexes

and the second level index evaluation results are obtained. The principal component analysis method is used to calculate the second level index evaluation results

and the overall performance ranking of the power plant is obtained. In order to verify the feasibility and accuracy of this method

six different types of gas power plants which have been put into operation are analyzed

and the results are compared with that using the entropy weight grey correlation degree method and the entropy weight TOPSIS method. The results show that

the influence of all levels of indexes on the overall performance of gas power plant agree well with the actual situation. This result provides a modeling method and the basis for selection of indexes for comprehensive evaluation of gas power plants.

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