انجام پروژه متلب | متلبی

کد مقاله g157

عنوان مقاله:

A new improved adaptive imperialist competitive algorithm to solve the reconfiguration problem of  distribution systems for loss reduction and voltage profile improvement 

"Study of Reconfiguration for the Distribution System With Distributed Generators"

بازآرایی فیدرهای توزیع در حضور تولیدات پراکنده با استفاده از الگوریتمga-bfa 

سال ارائه:  2010       نوع مقاله: IEEE                           گزارش فارسی: دارد

کلید واژه : ga algorithm, distributed generation, distribution system, feeder reconfiguration , Improved adaptive imperialist competitive ,algorithm, Reconfiguration ,Ant colony algorithm ,Genetic algorithm ,Distribution system ,Heuristic prohibited zone method, پروژه متلب , شبیه سازی با متلب ,

Abstract—This paper proposes a reconfiguration methodology
based on an Ant Colony Algorithm (ACA) that aims at achieving
the minimum power loss and increment load balance factor of ra
dial distribution networks with distributed generators. A 33-bus
distribution system and a Tai-Power 11.4-kV distribution system
were selected for optimizing the configuration and to demonstrate
the effectiveness of the proposed methodology for solving the op
timal switching operation of distribution systems. The simulation
results have shown that lower system loss and better load balancing
will be attained at a distribution system with distributed generation
(DG) compared to a system without DG. Furthermore, the simula
tion results also satisfy and suitability reference merits of the pro
posal method.
Index Terms—Ant colony algorithm, ant system, distributed gen
eration, distribution system, feeder reconfiguration.

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