基于PSR和改进灰色TOPSIS的园区客户能效评估模型

doi:10.11930/j.issn.1004-9649.202010084

中国电力 ›› 2022, Vol. 55 ›› Issue (3): 203-212.DOI: 10.11930/j.issn.1004-9649.202010084

• 综合能源系统优化评估 • 上一篇

基于PSR和改进灰色TOPSIS的园区客户能效评估模型

赵洪山, 李静璇

华北电力大学电气与电子工程学院，河北保定 071003

收稿日期:2020-10-26 修回日期:2021-03-11 出版日期:2022-03-28 发布日期:2022-03-29
作者简介:赵洪山（1965—），男，博士，教授，从事电力系统运行与控制、电力设备故障预测与优化运维等研究，E-mail：zhaohshcn@ncepu.edu.cn;李静璇（1996—），女，通信作者，硕士研究生，从事能效评估与优化等研究，E-mail：lijingxuansd@163.com
基金资助:
国家自然科学基金资助项目（冲击负荷下多源谐波融合的涡簧储能用永磁同步电机系统主动协调控制，52077078）。

Energy Efficiency Evaluation Model of Park Customers Based on PSR and Improved Grey TOPSIS

ZHAO Hongshan, LI Jingxuan

School of Electrical & Electronic Engineering, North China Electric Power University, Baoding 071003, China

Received:2020-10-26 Revised:2021-03-11 Online:2022-03-28 Published:2022-03-29
Supported by:
This work is supported by National Natural Science Foundation of China (Active Coordinated Control of PMSM System for Energy Storage of Vortex Spring with Multi-source Harmonic Fusion Under Impact Load, No.52077078)

摘要/Abstract

摘要： 为提升园区客户能效，在优化客户能效前需评估其能效水平，以寻找用能的薄弱环节。考虑能效指标间的动态关系，基于压力-状态-响应(PSR)模型从3个维度选取评价指标，构建动态能效指标体系。结合主成分分析和相关性分析优化能效评价指标体系，剔除体系中的冗余指标。构建改进灰色TOPSIS能效评估模型，引入熵权法计算指标的客观权重，利用加权灰色关联度代替欧式距离作为距离测度改进模型，对园区客户能效水平进行综合评估，并从压力、状态和响应3个子系统维度分析用能状况。通过对工业园区10个典型客户能效水平进行评估，分析可知响应性能较好的客户的综合能效评价结果较高，验证了PSR指标体系可行性。通过与其他方法评估结果对比验证了评估模型的有效性。

关键词: 能效评估, PSR模型, 动态能效指标体系, 主成分分析, 灰色TOPSIS, 熵权法

Abstract: In order to improve the energy efficiency level of park customers, it is necessary to evaluate the energy efficiency level of customers to find out the weak links of energy consumption before energy efficiency optimization. Considering the logical dynamic relationship between energy efficiency indicators, the dynamic energy efficiency index system is constructed by selecting evaluation indexes from three dimensions based on PSR model. Combining principal component analysis and correlation analysis, the index system is optimized and redundant indexes are eliminated. An improved Grey TOPSIS energy efficiency evaluation model is constructed where entropy weight method is introduced to calculate the objective weight of indexes. The weighted grey correlation degree is used to replace the Euclidean distance as the distance measurement to evaluate the customers energy efficiency level, and the energy consumption status is analyzed from three dimensions. Finally, the energy efficiency level of 10 typical park customers is evaluated. The result shows that the comprehensive energy efficiency evaluation results of customers with good response performance are higher, which verifies the feasibility of PSR index system. Compared with the results of other methods, the effectiveness of the evaluation model is verified.

Key words: energy efficiency evaluation, PSR model, dynamic energy efficiency index system, principal component analysis, Grey TOPSIS, entropy weight method

赵洪山, 李静璇. 基于PSR和改进灰色TOPSIS的园区客户能效评估模型[J]. 中国电力, 2022, 55(3): 203-212.

ZHAO Hongshan, LI Jingxuan. Energy Efficiency Evaluation Model of Park Customers Based on PSR and Improved Grey TOPSIS[J]. Electric Power, 2022, 55(3): 203-212.

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https://www.electricpower.com.cn/CN/Y2022/V55/I3/203

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基于PSR和改进灰色TOPSIS的园区客户能效评估模型

Energy Efficiency Evaluation Model of Park Customers Based on PSR and Improved Grey TOPSIS

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基于PSR和改进灰色TOPSIS的园区客户能效评估模型

Energy Efficiency Evaluation Model of Park Customers Based on PSR and Improved Grey TOPSIS

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