A investment scale determination method of distribution network based on big data

被引：0
|
作者：
An, Jiakun [1 ]
Xi, Peng [1 ]
Qi, Xiaoguang [1 ]
Liu, Rui [1 ]
He, Chunguang [1 ]
Shao, Hua [1 ]
Ma, Guozhen [1 ]
Zhao, Yang [1 ]
Han, Jinglin [1 ]
Han, Tianhua [2 ]
Tang, Chao [2 ]
机构：
[1] State Grid Hebei Econ Res Inst, Shijiazhuang, Hebei, Peoples R China
[2] State Grid Xingtai Elect Power Co, Xingtai, Peoples R China
来源：
PROCEEDINGS OF 2019 IEEE 3RD INTERNATIONAL ELECTRICAL AND ENERGY CONFERENCE (CIEEC) | 2019年
关键词：
investment scale; investment benefit coefficients; outliers recogintion; data preprocessing;
D O I：
10.1109/CIEEC47146.2019.CIEEC-201988
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 allocate the investment into where it is urgent needed and achieve more benefits under same investment, an investment scale determination method based on big data is proposed in this paper. Firstly, considering the influences of the investment demands, the enhanced demands of power grid, and the investment benefits, an investment scale determination model is proposed and the investment benefits are detailed described. Moreover, considering the quality of the data in the information systems, an investment scale allocation procedure based on big data is introduced and outliers are recognized and preprocessed. Finally, an actual application and case study are shown and the proposed method is verified. The model is practical and useful for the power grid enterprises to achieve more benefits under same investment.
引用
收藏
页码：154 / 158
页数：5
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