Distribution Feeder Load Balancing Using Support Vector Machines

被引:0
作者
Jordaan, J. A. [1 ]
Siti, M. W. [1 ]
Jimoh, A. A. [1 ]
机构
[1] Tshwane Univ Technol, ZA-0001 Pretoria, South Africa
来源
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2008 | 2008年 / 5326卷
关键词
D O I
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中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The electrical network should ensure that;in adequate supply is available to meet, the estimated load of the consumers in both the near and more distant future. This must, of course, be done at minimum possible cost: Consistent with satisfactory reliability and quality of the supply. In order to avoid excessive voltage drop and minimise loss, it may be economical to install apparatus to balance or partially balance the loads. It is believed that the technology to achieve an automatic load balancing lends itself readily for the implementation of different types of algorithms for automatically rearranging the connection of consumers oil the. low voltage side of a feeder for optimal performance. In this paper the, authors present a Support Vector Machines (SVM) implementation. The loads are first normalised and then sorted before applying the SVM to do the balancing.
引用
收藏
页码:65 / 71
页数:7
相关论文
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