Constrained Power Loss Minimization of DC Microgrid Using Particle Swarm Optimization

被引：1

作者：

Angalaeswari, S. ^{[1
]}

Jamuna, K. ^{[1
]}

机构：

[1] VIT Univ, Sch Elect & Elect Engn, Chennai Campus, Madras, Tamil Nadu, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT 2016, VOL 1 | 2017年 / 468卷

关键词：

Microgrid; Distributed generation; Particle swarm optimization (PSO);

D O I：

10.1007/978-981-10-1675-2_38

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The optimal power flow has been considered as the important issue in the power system network. There are many ways to optimize the power flow out of which power loss minimization and voltage profile improvement are considered as the efficient ways. The power loss minimization for distributed system has been performed with particle swarm optimization (PSO) algorithm and the results are compared with forward/backward load flow method. The analysis is also performed with and without addition of renewable sources. The results show that the inclusion of DG at various buses reduces the power loss and improves the voltage magnitude profile

引用

页码：379 / 389

页数：11

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