Optimal Sizing and Deploying of Distributed Generation Unit using a Modified Multiobjective Particle Swarm Optimization

被引：0
|
作者：
Mahajan, Shreya [1 ]
Vadhera, Shelly [1 ]
机构：
[1] NIT Kurukshetra, EED, Kurukshetra, Haryana, India
来源：
2016 IEEE 6TH INTERNATIONAL CONFERENCE ON POWER SYSTEMS (ICPS) | 2016年
关键词：
Distributed Generation; Optimal location; Optimal size; Multiobjective Optimization; Particle Swarm Optimization; EVOLUTIONARY;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The utilization of distributed generation (DG) is growing day by day and it has become an indispensable part of power generation across the world. Because of its cost effectiveness and eco- friendly nature, it has improved the reliability of the network system. Due to the augmentation of DG penetration, the nature of distribution network is remodeled from a passive network to an active network. The integration of DG unit is profitable if it is optimally placed. Various models of DG are developed for its optimal deployment. In this paper, Particle Swarm Optimization (PSO) technique is proposed for optimal deployment and size of DG source.
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页数：6
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