A Hopfield Neural Network based Reconfiguration Algorithm for Power Distribution Systems

被引：0
|
作者：
Patel, Viresh S. [1 ]
Chakrabarti, S. [1 ]
Singh, S. N. [1 ]
机构：
[1] Indian Inst Technol Kanpur, Dept Elect Engn, Kanpur, Uttar Pradesh, India
来源：
2017 IEEE REGION 10 INTERNATIONAL SYMPOSIUM ON TECHNOLOGIES FOR SMART CITIES (IEEE TENSYMP 2017) | 2017年
关键词：
Binary particle swarm optimization; distribution network; Hopfield neural network; reconfiguration; FEEDER RECONFIGURATION; LOSS REDUCTION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, a Hopfield Neural Network based reconfiguration algorithm is proposed for power distribution network, in order to reduce losses in the network and increase reliability at the load points. A suitably constructed energy function is minimized to approach the optimal solution of the reconfiguration problem. The proposed approach is tested successfully on IEEE 33 bus distribution test system.
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页数：5
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