Reconfiguration of Electric Power Distribution Networks using Unineuron and Nullneuron

被引:0
作者
Santana, Mariane M. [1 ]
da Costa, Pyramo P. [1 ]
Gouvea, Maury M., Jr. [1 ]
Lucas, Fabricio P. [1 ]
机构
[1] Pontificia Univ Catolica Minas Gerais, Belo Horizonte, MG, Brazil
来源
2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2019年
关键词
Load Reconfiguration; Distribution System; SYSTEMS;
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
The reconfiguration of electric power distribution networks is an indispensable tool in the planning and operation of the distribution system. The presented work describes a multi-objective methodology for distribution networks reconfiguration, by using unineurons and nullneurons. The new configuration should minimize the total active power loss and minimize feeder loading without violating operational constraints. Tests with the algorithms were performed with IEEE 33 bus electrical system.The obtained results were compared with those from the literature, demonstrating that the developed methodology is promising and provides good results, taking into account all the physical and operational constraints of the problem.
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页数:8
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