Data-Driven Load Forecasting Method for 10 kV Distribution Lines

被引：0

作者：

Luo, Hairong ^{[1
]}

Wang, Jian ^{[2
]}

Zhang, Qingping ^{[1
]}

Yang, Yongtao ^{[2
]}

Li, Xuefeng ^{[1
]}

Zhang, Jianyuan ^{[2
]}

机构：

[1] State Grid Ningxia Elect Power Co Ltd, Elect Power Sci Res Inst, Yinchuan 750001, Ningxia, Peoples R China

[2] State Grid Ningxia Elect Power Co Ltd, Yinchuan Power Supply Co, Yinchuan 750001, Ningxia, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON NEW ENERGY AND ELECTRICAL TECHNOLOGY | 2023年 / 1017卷

关键词：

Data-driven; 10 kV distribution lines; Generation efficiency; Economic dispatch; Load forecasting; Load theory;

D O I：

10.1007/978-981-99-0553-9_1

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：

The 10 kV distribution line load prediction method suffers from the problem of large absolute errors in the prediction results, and a data-driven 10 kV distribution line load prediction method is designed. The actual values of demand coefficients in the region are derived from historical data, the power characteristics of 10 kV distribution lines are obtained, the set of upstream load points at each of the two end nodes of the contact line is obtained, the load transfer threshold is set, the percentage of heavy-duty distribution substations is calculated, and the data-driven load prediction model is constructed. Experimental results: The mean absolute errors of the 10 kV distribution line load prediction method designed this time and the other two 10 kV distribution line load prediction methods are: 6.896%, 10.461% and 11.224% respectively, indicating that the designed 10 kV distribution line load prediction method works better when combined with data-driven technology.

引用

页码：3 / 9

页数：7

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