Integral Backstepping Control For Stability Enhancement of Doubly Fed Induction Generator

被引:2
作者
Guessabi, Anwar [1 ]
Gherbi, Ahmed [1 ]
Chebabhi, Ali [2 ]
Machane, Ghada [1 ]
机构
[1] Ferhat Abbas Univ Setif 1, Dept Elect Engn, Lab Automat Setif LAS, Setif, Algeria
[2] Univ Msila, Dept Elect Engn, Elect Engn Lab, Msila 28000, Algeria
来源
PROGRAM OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATIC CONTROL, ICEEAC 2024 | 2024年
关键词
DFIG; IBC; PI; stability; steady-state performance; Voltage dips; Three-phase fault; REACTIVE POWER-CONTROL; WIND; DRIVEN;
D O I
10.1109/ICEEAC61226.2024.10576355
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Generally, wind farms are built in areas far away from demand centres and utility grids. Due to its benefits, the doubly-fed induction generator (DFIG) is currently the most widely used topology in wind energy conversion systems. Therefore, long transmission lines connect wind farms with the power grid, exposing DFIGs to severe grid faults. For these reasons, this work presents an efficient control method that uses the nonlinear integral backstepping control (IBC) technique of the DFIG to stabilize and improve the transfer power capacity of the system during several faults. Hence, the grid's voltage and current, rotor side converter (RSC) and grid side converter (GSC) currents controllers, dc-link voltage, and active and reactive powers are presented through Matlab/Simulink environment to prove the effectiveness of the suggested integral backstepping technique compared to the Proportional-Integral controller, specifically in terms of disturbance rejection, steady-state performance and dynamic response, stability and robustness against parametric variations.
引用
收藏
页数:6
相关论文
共 29 条
[1]  
Abad G., 2011, DOUBLY FED INDUCTION, DOI [10.1002/9781118104965, DOI 10.1002/9781118104965]
[2]   Grid Synchronization of Equivalent Wind Farm Equipped with DFIG Model for Transient Stability by Using Nonlinear Integral Backstepping Control [J].
Atallah, Meddah ;
Mezouar, Abdelkader ;
Belgacem, Kheira ;
Benmahdjoub, Mohammed Amine ;
Saidi, Youcef ;
Brahmi, Brahim .
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2023, 48 (05) :5771-5783
[3]   Modified vector controlled DFIG wind energy system based on barrier function adaptive sliding mode control [J].
Ayyarao, Tummala S. L., V .
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS, 2019, 4 (01)
[4]  
Blaabjerg F, 2014, POWER ELECTRONICS FOR RENEWABLE ENERGY SYSTEMS, TRANSPORTATION, AND INDUSTRIAL APPLICATIONS, P136
[5]  
Boldea I., 2020, INDUCTION MACHINES H, V3rd
[6]   Comparative study of three types of controllers for DFIG in wind energy conversion system [J].
Boubzizi S. ;
Abid H. ;
El hajjaji A. ;
Chaabane M. .
Protection and Control of Modern Power Systems, 2018, 3 (01)
[7]  
Bouderbala M., 2019, International Journal of Electrical and Computer Engineering, V9, P1531, DOI 10.11591/ijece.v9i3.pp1531-1540
[8]   Using Artificial Intelligence to Predict Wind Speed for Energy Application in Saudi Arabia [J].
Brahimi, Tayeb .
ENERGIES, 2019, 12 (24)
[9]   Nonlinear hybrid flatness control for suppressing overcurrent of DFIG during high voltage ride through [J].
Cai, Zhenhua ;
Li, Canbing ;
Wu, Qiuwei ;
Tai, Nengling ;
Huang, Wentao ;
Huang, Sheng ;
Wei, Juan .
ELECTRIC POWER SYSTEMS RESEARCH, 2024, 229
[10]   Backstepping control of a grid-connected four-leg PWM rectifier under both balanced and unbalanced grid conditions [J].
Chebabhi, Ali ;
Al-dwa, Ala Addin Mohammed ;
Barkat, Said ;
Zebiri, Fouad .
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2023, 14 (SUPPL 1) :S99-S116