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基于结构熵—因子分析的智能电网低碳效益关键指标选取

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智能电网低碳效益的关键指标选取,是智能电网低碳效益评价的前提.分析了智能电网低碳效益关键指标选取的特点;提出了从定性评价和定量评价两个角度选取关键指标,阐述了指标选取原则和流程;从发电侧、电网侧和用电侧各环节初步选取了影响智能电网低碳效益的定性和定量关键指标,并构建了结构熵-因子分析优化模型;运用该模型对初选的关键指标进行了优化,并对优化结果进行信度和效度检验.结果表明,优化后的指标具有更好的信度和效度,比初选结果更加合理.据此确立了智能电网低碳效益的关键指标体系,为智能电网低碳效益评价研究提供了框架范畴.
Key Indicators Selection for Smart Grid Low-carbon Benefits Based on Structure Entropy and Factor Analysis
Selecting key indicators is the premise of evaluating low-carbon benefits of smart grid.Firstly,analyze the characteristics of key indicators selection for smart grid low-carbon benefits.Secondly,propose to select key indicators from both qualitative and quantitative perspective,and elaborate the principle and process of key indicators selection.Thirdly,preliminarily select qualitative and quantitative key indicators form generation side,grid side and demand side,which have impact on low-carbon benefits of smart grid,and build the structure entropy and factor analysis optimization model.Finally,adjust and optimize the indicators preliminarily selected by the optimization model,and test the reliability and validity of the optimization results.The test results show that the optimized indicators have better reliability and validity and are more reasonable than the primary results.On this basis,the key indicators system of low-carbon benefits of smart grid is established,which can provide a framework for the evaluation of smart grid low-carbon benefits.

smart gridlow-carbon benefitskey indicatorsstructure entropy and factor analysis model

周黎莎、李晨

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国网四川省电力公司成都电业局,成都610041

国网四川省电力公司供电服务中心,成都610041

智能电网 低碳效益 关键指标 结构熵—因子分析模型

国家自然科学基金美国能源基金会项目

71271082G-1108-14658

2014

华东电力
华东电力试验研究院有限公司

华东电力

CSTPCD
影响因子:0.551
ISSN:1001-9529
年,卷(期):2014.42(1)
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