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。
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.
作者
赵洪山
李静璇
ZHAO Hongshan;LI Jingxuan(School of Electrical&Electronic Engineering,North China Electric Power University,Baoding 071003,China)
出处
《中国电力》
CSCD
北大核心
2022年第3期203-212,共10页
Electric Power
基金
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)。
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
energy efficiency evaluation
PSR model
dynamic energy efficiency index system
principal component analysis
Grey TOPSIS
entropy weight method
