A investment allocation method of distribution network based on big data

被引：0

作者：

Zhou, Junfeng ^{[1
]}

An, Jiakun ^{[1
]}

Hu, Shiyao ^{[1
]}

Sun, Pengfei ^{[1
]}

He, Chunguang ^{[1
]}

Shao, Hua ^{[1
]}

Liu, Xuefei ^{[1
]}

Tang, Shuai ^{[1
]}

Li, Guangyi ^{[1
]}

机构：

[1] State Grid Hebei Econ Res Inst, Shijiazhuang, Hebei, Peoples R China

来源：

PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC) | 2019年

关键词：

index system; investment demand coefficient; investment benefit coefficient; importance of investment directions;

D O I：

10.1109/CIEEC47146.2019.CIEEC-201987

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

To improve the efficiencies and benefits of distribution network investments, a investment allocation method of distribution network based on big data is proposed in this paper. Firstly, considering the corporate responsibility, user perception and power grid development demands, the index systems for power grid development level and investment direction are established, and then the coupling relationship between these two index systems is calculated based on big data. Considering the differences in the current power grid development level, planning objectives and indexes of different regions, a correcting coefficient is proposed to modify the above model and the priorities of power grid investment directions are achieved eventually. The above model is further verified by the actual data of a region in Hebei province.

引用

页码：148 / 153

页数：6

共 12 条

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