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Equilibrium optimizer tuned novel FOPID‐DN controller for automatic voltage regulator system.

Authors :
Paliwal, Nikhil
Srivastava, Laxmi
Pandit, Manjaree
Source :
International Transactions on Electrical Energy Systems. Aug2021, Vol. 31 Issue 8, p1-28. 28p.
Publication Year :
2021

Abstract

Summary: This paper presents a novel fractional‐order PID plus derivative with filter coefficient (FOPID‐DN) controller for automatic voltage regulator (AVR) system using the MATLAB/Simulink environment. An AVR system is employed in the power system to maintain the terminal voltage at the desired level. Parameters of the proposed FOPID‐DN controller are optimally tuned by the recently developed Equilibrium Optimizer (EO) algorithm. Performance of the designed FOPID‐DN controller for an AVR system is compared with various controllers which are optimally tuned by different optimization algorithms. Comparative transient response analysis of the proposed technique has been carried out by considering vital transient response indicators like maximum overshoot, rise time, and settling time. Performance analysis of the proposed technique for an AVR system has been done by considering several input conditions. Robustness analysis of the EO algorithm tuned FOPID‐DN controller has been performed by varying the time constants of different components in an AVR system. The capability of the FOPID‐DN controller to handle nonlinearities of an AVR system has been investigated. The stability of the FOPID‐DN controlled AVR system has been analyzed. In addition, the disturbance rejection capability of the FOPID‐DN controlled AVR system has also been investigated. From the various simulation results obtained using the MATLAB/Simulink environment, it has been observed that the proposed FOPID‐DN‐based AVR system provided better performance as compared to different existing controllers. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20507038
Volume :
31
Issue :
8
Database :
Academic Search Index
Journal :
International Transactions on Electrical Energy Systems
Publication Type :
Academic Journal
Accession number :
151782839
Full Text :
https://doi.org/10.1002/2050-7038.12930