Power grid enterprise investment key influence factor and project comprehensive utility evaluation method

The invention discloses a power grid enterprise investment key influence factor and project comprehensive utility evaluation method, and belongs to the technical field of power systems. The objective of the invention is to explore an influence path of each index on power grid development and establi...

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Hauptverfasser:	LI YUWEN, LI TONGQING, SHEN MIAOZHE, WANG ZHAOJING, WANG SISI, YUAN BAIHUI, SUN QIANWEI, TENG CHONG, WANG ZHENYI, LI CHENG, FU YAO, ZHU YAN, GENG HUAYANG, GAO HAOXIANG, XU XIAOHUI, WANG FUGUO, WANG YING, SUN CHENGZHI, SONG LEI, CHEN KAIYANG, JIANG YAN, LI NANA, LI JIN, CONG YUNHUA, YANG HONGYU, ZHENG LI, YUE YIMIAO, XIANG WEN, ZHAI YONGHE, LIU DUOLUN, LIU CHUNXU, ZUO FENG, SUN SHAOGUANG, ZHAO YAN, HU WENMING, HUI XIAODONG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The invention discloses a power grid enterprise investment key influence factor and project comprehensive utility evaluation method, and belongs to the technical field of power systems. The objective of the invention is to explore an influence path of each index on power grid development and establish a power grid enterprise investment key influence factor and project comprehensive utility evaluation method of a power grid enterprise investment main influence factor dynamic economic model. The method comprises the following steps: screening out main influence factors of power grid investment by using a grey correlation analysis method, establishing a comprehensive utility evaluation model of a power grid investment project, and establishing a comprehensive utility evaluation model of the power grid investment project on the basis of a foreground theory. And a reasonable solving method is provided to select the most effective demand response item. The method can measure the influence of the quantitative factor