基于定量与定性相结合的电网低碳评价方法研究
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摘要
电力行业为碳排放主要领域之一,对电网低碳水平进行综合评价,既可使电网企业对当前自身低碳发展水平拥有直观判断,也为国家在电力行业制定相关低碳政策提供方向。在已有研究的基础上,将各种智能电网技术的应用程度和影响电网碳排放的相关要素作为评价依据,构建一套综合性较强的电网低碳指标体系。同时,针对当前对于电网的低碳评价注重定量分析而缺乏定性分析的问题,提出基于改进的超效率数据包络分析模型和模糊综合评价法,实现对电网低碳水平的定量与定性分析;并利用部分地区电网作为研究对象进行算例分析,验证该方法的实用性和有效性。
Power industry is one of the main areas of carbon emission. Comprehensive evaluation of the low carbon level of power grid can not only make grid enterprises have intuitive judgment on their own low carbon development level, but also provide the direction for the country to formulate relevant low-carbon policies in the power industry. Based on the existing researches, this paper uses the degree of application of various smart grid technologies and the relevant factors affecting the carbon emissions of the grid as the evaluation bases, constructs a set of comprehensive low-carbon energy efficiency indicator systems. At the same time, in light of the current lack of qualitative analysis on the low-carbon evaluation of the power grid, an improved super-efficient data envelopment analysis model and fuzzy comprehensive evaluation method are proposed to achieve quantitative and qualitative analysis of the low-carbon level of the power grid,and taking part of the regional power grid as a research object, a case study is conducted to verify the practicability and effectiveness of this method.
Power industry is one of the main areas of carbon emission. Comprehensive evaluation of the low carbon level of power grid can not only make grid enterprises have intuitive judgment on their own low carbon development level, but also provide the direction for the country to formulate relevant low-carbon policies in the power industry. Based on the existing researches, this paper uses the degree of application of various smart grid technologies and the relevant factors affecting the carbon emissions of the grid as the evaluation bases, constructs a set of comprehensive low-carbon energy efficiency indicator systems. At the same time, in light of the current lack of qualitative analysis on the low-carbon evaluation of the power grid, an improved super-efficient data envelopment analysis model and fuzzy comprehensive evaluation method are proposed to achieve quantitative and qualitative analysis of the low-carbon level of the power grid,and taking part of the regional power grid as a research object, a case study is conducted to verify the practicability and effectiveness of this method.
引文
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[12]韩柳,李金超,胡殿刚,等.基于超效率DEA模型的配电网智能化发展综合效率评价[J].电力系统保护与控制,2016,44(22):102-107
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[15]李晓辉,张来,李小宇,等.基于层次分析法的现状电网评估方法研究[J].电力系统保护与控制,2008,36(14):57-61.
[2]IPCC.Intergovernmental panel for climate change fourth assessment report[M].Cambridge:Cambridge University Press,2007:104.
[3]AUCLéR N,NKVIST E.The road to low carbon economy:global greenhouse gas emission reduction cost curve[R].Chicago:Mckinsey&Company,2009.
[4]谭伟,何光宇,刘锋,等.智能电网低碳指标体系初探[J].电力系统自动化,2010,34(17):1-5.
[5]孙彦龙,康重庆,陈宋宋,等.低碳电网评价指标体系与方法[J].电力系统自动化,2014,38(17):157-162.
[6]康重庆,周天睿,陈启鑫,等.电网低碳效益评估模型及其应用[J].电网技术,2009,33(17):1-7.
[7]符力文.智能电网的低碳效益分析[J].电力建设,2011,32(3):51-55.
[8]高新华严正.基于主成分聚类分析的智能电网建设综合评价[J].电网技术,2013,37(8):2238-2243.
[9]孙义豪,李秋燕,丁岩,等.基于主成分分析及系统聚类的县域电网综合评价方法[J].电力系统保护与控制,2017,45(8):30-36.
[10]张尧庭,方开泰.多元统计分析引论[M].武汉:武汉大学出版社,2013:34-46.
[11]韦钢,吴伟力,刘佳,等.基于SE-DEA模型的电网规划方案综合决策体系[J].电网技术,2007,31(24):12-16.
[12]韩柳,李金超,胡殿刚,等.基于超效率DEA模型的配电网智能化发展综合效率评价[J].电力系统保护与控制,2016,44(22):102-107
[13]成刚.数据包络分析方法与Max DEA软件[M].北京:知识产权出版社,2014.
[14]柳顺,杜树新.基于数据包络分析的模糊综合评价方法[J].模糊系统与数学,2010,24(2):93-98.
[15]李晓辉,张来,李小宇,等.基于层次分析法的现状电网评估方法研究[J].电力系统保护与控制,2008,36(14):57-61.