Title :
Load frequency controller design using new Big Bang - Big Crunch 2 algorithm
Author :
Yesil, Engin ; Savran, Akin Ilker ; Guzay, Cagri
Author_Institution :
Control & Autom. Eng. Dept., Istanbul Tech. Univ., Maslak, Turkey
Abstract :
In this study, an optimization based PID controller tuning method is proposed for load-frequency control (LFC) problem. The proposed Big Bang-Big Crunch 2 (BB-BC2) method is an extended version of the original BB-BC, which has a very fast convergence and less computational time. A two-area power system is modeled in Matlab-Simulink for simulations, and then the original BB-BC and the proposed BB-BC2 optimization methods are firstly compared with each other. Since BB-BC method is originally based on randomness these tests are repeated for 100 times and the benefit of the proposed BB-BC2 is shown. Afterwards, the performance of the proposed BB-BC2 algorithm is compared with three other PID tuning methods from literature. The simulation results verify the advantage of the proposed BB-BC2 algorithm to optimize the PID controllers as the load-frequency controller.
Keywords :
control system synthesis; frequency control; load regulation; mathematics computing; optimisation; power system control; three-term control; BB-BC2 optimization methods; Big Bang-Big Crunch 2 method; LFC problem; Matlab-Simulink; load frequency controller design; load-frequency control problem; optimization based PID controller tuning method; two-area power system; Algorithm design and analysis; Optimization; Power systems; Standards; Steady-state; Tuning; Big Bang Big Crunch Optimization; Load-Frequency Control; Optimization; PID Controllers; Power Systems;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
Conference_Location :
Alberobello
Print_ISBN :
978-1-4799-3019-7
DOI :
10.1109/INISTA.2014.6873590