Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System

Volume: 30 Number: 1 March 1, 2010
  • Haluk Gözde
  • M. Cengiz Taplamacıoğlu
  • İlhan Kocaarslan
  • M. Akif Şenol
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Journal of Thermal Science and Technology
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Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System

Abstract

In this study, the gains of PI controller which is used for load-frequency control in a two area reheat thermal power system are tuned with the Particle Swarm Optimization (PSO). Tuning of the controller gains is taken up an optimization problem, and the new cost function is derived to reach to goal. The results which are obtained are compared with the literature, and it is observed that the dynamic response of the system is got better with proposed self-tuning PSO-PI controller

Keywords

Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Haluk Gözde This is me

M. Cengiz Taplamacıoğlu This is me

İlhan Kocaarslan This is me

M. Akif Şenol This is me

Publication Date

March 1, 2010

Submission Date

March 1, 2010

Acceptance Date

-

Published in Issue

Year 2010 Volume: 30 Number: 1

IZ

https://izlik.org/JA82AF59YH

Cite

RIS / Bibtex
APA
Gözde, H., Taplamacıoğlu, M. C., Kocaarslan, İ., & Şenol, M. A. (2010). Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System. Journal of Thermal Science and Technology, 30(1), 13-21. https://izlik.org/JA82AF59YH
AMA
1.Gözde H, Taplamacıoğlu MC, Kocaarslan İ, Şenol MA. Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System. Journal of Thermal Science and Technology. 2010;30(1):13-21. https://izlik.org/JA82AF59YH
Chicago
Gözde, Haluk, M. Cengiz Taplamacıoğlu, İlhan Kocaarslan, and M. Akif Şenol. 2010. “Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System”. Journal of Thermal Science and Technology 30 (1): 13-21. https://izlik.org/JA82AF59YH.
EndNote
Gözde H, Taplamacıoğlu MC, Kocaarslan İ, Şenol MA (March 1, 2010) Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System. Journal of Thermal Science and Technology 30 1 13–21.
IEEE
[1]H. Gözde, M. C. Taplamacıoğlu, İ. Kocaarslan, and M. A. Şenol, “Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System”, Journal of Thermal Science and Technology, vol. 30, no. 1, pp. 13–21, Mar. 2010, [Online]. Available: https://izlik.org/JA82AF59YH
ISNAD
Gözde, Haluk - Taplamacıoğlu, M. Cengiz - Kocaarslan, İlhan - Şenol, M. Akif. “Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System”. Journal of Thermal Science and Technology 30/1 (March 1, 2010): 13-21. https://izlik.org/JA82AF59YH.
JAMA
1.Gözde H, Taplamacıoğlu MC, Kocaarslan İ, Şenol MA. Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System. Journal of Thermal Science and Technology. 2010;30:13–21.
MLA
Gözde, Haluk, et al. “Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System”. Journal of Thermal Science and Technology, vol. 30, no. 1, Mar. 2010, pp. 13-21, https://izlik.org/JA82AF59YH.
Vancouver
1.Haluk Gözde, M. Cengiz Taplamacıoğlu, İlhan Kocaarslan, M. Akif Şenol. Particle Swarm Optimization Based Pi-Controller Design to Load-Frequency Control of a Two Area Reheat Thermal Power System. Journal of Thermal Science and Technology [Internet]. 2010 Mar. 1;30(1):13-21. Available from: https://izlik.org/JA82AF59YH