Back to Search Start Over

Wind Power Frequency Control in Doubly FED Induction Generator Using CFMPC-FOPID Controller Scheme

Authors :
Bershiya M S
Jasphin Melba
Shibu J V Bright
Evangelin Jeba
Source :
Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, Vol 7, Iss 2, Pp 133-144 (2023)
Publication Year :
2023
Publisher :
P3M Politeknik Negeri Banjarmasin, 2023.

Abstract

Because the majority of wind turbines operate in maximum output power tracking mode, power system frequency cannot be supported. However, if the penetration rate of wind power increases, the system inertia related to frequency modulation may decrease. In addition, frequency stability will be severely affected in the event of significant disturbances to the system load. Due to the high penetration of wind power in isolated power systems, this study suggests a coordinated frequency management approach for emergency frequency regulation. In order to prevent the phenomenon of load frequency control in doubly fed induction generators (DFIGs), a unique efficient control scheme is developed. The Cascaded Fractional Model Predictive Controller coupled with Fractional-Order PID controller (CFMPC-FOPID) is developed to provide the DFIG system with an efficient reaction to changes in load and system parameters. The proposed controller must have a robust tendency to respond quickly in terms of minimum settling time, undershoot, and overshoot. Nonlinear feedback controllers are designed using frequency deviations and power imbalances to achieve the reserve power distribution between generators and DFIGs in a variety of wind speed conditions. It makes upgrading quick and easy. In Matlab/Simulink, a simulation model is built to test the viability of the suggested approach.

Details

Language :
English, Indonesian
ISSN :
25983245, 25983288, and 07716087
Volume :
7
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
Publication Type :
Academic Journal
Accession number :
edsdoj.07716087afe349aa80e21635b68d73ed
Document Type :
article
Full Text :
https://doi.org/10.31961/eltikom.v7i2.777