Metaheuristic Techniques based Optimal Placement and Sizing of Multiple Distributed Generations in Radial Distribution System

被引：0
|
作者：
Sunil, Ankeshwarapu [1 ]
Kongala, Saikrishna [1 ]
Venkaiah, Chintham [1 ]
机构：
[1] NIT Warangal, Dept Elect Engn, Warangal, Telangana, India
来源：
APPEEC 2021: 2021 13TH IEEE PES ASIA PACIFIC POWER & ENERGY ENGINEERING CONFERENCE (APPEEC) | 2021年
关键词：
Genetic Algorithm (GA); Shuffled Frog Leap Algorithm (SFLA); Jaya Algorithm (JAYA); Distributed Generations (DGs); Radial Distribution System (RDS); RECLOSERS;
D O I：
10.1109/APPEEC50844.2021.9687628
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：
In this paper, Meta-heuristic techniques were employed for optimal placement and sizing of multiple Distributed Generations (DGs) in a Radial Distribution System (RDS) to mitigate the losses and voltage deviations. In this study, Genetic Algorithm (GA), Shuffled Frog Leap Algorithm (SFLA) and Jaya Algorithm (JAYA) were applied on a standard IEEE 33 bus test system. It was observed from the test results simulated under MATLAB environment that Jaya Algorithm outperformed GA and SFLA for optimal placement and sizing of multiple DGs to mitigate the losses and voltage deviations.
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页数：6
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