Individual Nonparametric Load Estimation Model for Power Distribution Network Planning

被引：14
作者：
Ding, Ni [1 ]
Besanger, Yvon [2 ]
Wurtz, Frdric [2 ]
Antoine, Guillaume [3 ]
机构：
[1] GIE IDEA, F-38402 St Martin Dheres, France
[2] Lab Elect & Elect Engn Grenoble, F-38402 St Martin Dheres, France
[3] EDF, Div Res & Dev, F-92141 Clamart, France
来源：
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2013年 / 9卷 / 03期
关键词：
Distribution network planning; estimation model; individual load; kernel estimator; nonparametric method; smart grid; statistical technique; ELECTRICITY; OPERATION; DEMAND;
D O I：
10.1109/TII.2013.2261079
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we tackle client load estimation in a smart grid network. For that purpose, we propose an individual model based on nonparametric estimators. The model is designed for power estimations for use in network planning. Completely data-driven, the proposed methodology can be applied to both thermosensitive and nonthermosensitive clients. Real measurements collected in French distribution systems are used to validate our methodology. The proposed approach produces more reliable estimation results than the current model (termed BAGHEERA in this paper) of the French electricity company EDF does on the same data.
引用
收藏
页码：1578 / 1587
页数：10
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