Optimal DFIG-Based Wind Turbine Speed And Reactive Power Control Using Particle Swarm Optimization Algorithm

被引：0
作者：
Harkat, Djoumana [1 ]
Bouchemha, Amel [2 ]
Yousfi, Laatra [2 ]
Kahla, Sami [3 ]
机构：
[1] Echahid Cheikh Larbi Tebessi Univ Tebessa, LAMIS Lab, Tebessa, Algeria
[2] Echahid Cheikh Larbi Tebessi Univ Tebessa, LAVIA Lab, Tebessa, Algeria
[3] Res Ctr Ind Technol CRTI Algiers, LAVIA Lab, Tebessa, Algeria
来源：
PROGRAM OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATIC CONTROL, ICEEAC 2024 | 2024年
关键词：
Wind turbine; Doubly-fed induction generator; Particle swarm optimization algorithm; PI controller;
D O I：
10.1109/ICEEAC61226.2024.10576409
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
As the demand for alternative energy sources grows, wind energy systems are developing at a rapid pace. In this research paper, optimally tuned PI controllers are used for controlling a wind turbine based on of a Doubly Fed Induction Generator (DFIG). The Particle Swarm Optimization (PSO) algorithm for PI controller parameters tuning, with the objective of ensuring better energy quality and system performance. The speed Integral Square Error is used as a fitness function of the PSO. The performance evaluation of controllers with PSO implementation is carried out by the simulation through MATLAB /Simulink under linear and nonlinear load conditions. The PI and PI-PSO implementation results comparison proves the superiority of the PI-PSO controller.
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页数：6
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