Load Profiling with Fuzzy Self-Organizing Algorithms

被引:0
|
作者
Gavrilas, Mihai [1 ]
Ivanov, Ovidiu [1 ]
Gavrilas, Gilda
机构
[1] Tech Univ Iasi, Power Syst Dept, Iasi, Romania
来源
NEUREL 2008: NINTH SYMPOSIUM ON NEURAL NETWORK APPLICATIONS IN ELECTRICAL ENGINEERING, PROCEEDINGS | 2008年
关键词
Distribution systems; Fuzzy logic; Load profiling; Self-organization;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes an enhanced fuzzy self-organizing algorithm (EF-SOM) to address the problem of consumer classification in electric distribution networks based on the shape of the load profiles (LPs). This algorithm is a modified form of the standard fuzzy Kohonen algorithm, which determines the deviations between metered-LPs and the prototypes of the typical LPs using weighted windows around It he peak and valley hours. The EF-SOM algorithm was tested on an independent load profile database, proofing its ability to filter outliers LPs and to produce realistic classification results.
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页码:60 / +
页数:2
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