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

被引：0
|
作者：
Ianțoc, Andreea [1 ]
Bulac, Constantin [1 ]
Sidea, Dorian [1 ]
机构：
[1] Electrical Power Systems Department, Faculty of Energy Engineering, University POLITEHNICA of Bucharest, Romania
来源：
UPB Scientific Bulletin, Series C: Electrical Engineering and Computer Science | 2022年 / 84卷 / 03期
关键词：
Electric load dispatching - Genetic algorithms - Heuristic algorithms - Particle swarm optimization (PSO) - Reactive power;
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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). © 2022, Politechnica University of Bucharest. All rights reserved.
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页码：235 / 246
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