OPTIMAL REACTIVE POWER DISPATCH IN ACTIVE DISTRIBUTION POWER SYSTEMS USING GREY WOLF OPTIMIZER

被引：0
|
作者：
Iantoc, Andreea [1 ]
Bulac, Constantin [1 ]
Sidea, Dorian [1 ]
机构：
[1] Univ Politehn Bucuresti, Fac Energy Engn, Elect Power Syst Dept, Bucharest, Romania
来源：
UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE | 2022年 / 84卷 / 03期
关键词：
optimal reactive power dispatch; active distribution systems; distributed generation; meta heuristic algorithms;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The aim of the article is to implement and test the Grey Wolf Optimizer (GWO) for identifying the optimal reactive power dispatch (ORPD) in an active distribution network. The optimization problem is a multi-objective one consisting in keeping minimum power losses, while maintaining bus voltages close to their rated value. The performances of the GWO are evaluated through a comparative study between three meta heuristic algorithms - GWO, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The study is conducted on the test network IEEE 33, modified by integrating some distributed generation (DG) and capacitor banks (CBs).
引用
收藏
页码：235 / 246
页数：12
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