Comparison of Conventional and Modern Controllers for a Gas Turbine Power Plant

Year 2019, Volume: 19 Issue: 2, 146 - 157, 01.07.2019

Yılmaz Arıkuşu Nevra Bayhan Hasan Tiryaki

Abstract

DOI: 10.26650/electrica.2019.19032

Nowadays, many thermal power plants are
established for the generation of electrical energy. In this study, the design
of a Gas Turbine Power Plant is analyzed in Ambarlı, Turkey. Then, conventional
and modern control techniques are applied for comparison. These controllers are
conventional proportional and integral (PI), particle swarm optimization based
proportional-integral (PSO-PI) and fuzzy gain scheduled proportional-integral
(FGPI). The results show that, the performance of  the proposed FGPI is  better than the conventional controllers on
settling time and overshoot of power outputs.

Cite this article as: Arıkuşu Y, Bayhan N,
Tiryaki H. Comparison of Conventional and Modern Controllers for a Gas Turbine
Power Plant. Electrica, 2019; 19(2): 146-157.

Keywords

Thermal Power Plant, FGPI, Fuzzy Controller, PI Controller, Particle Swarm Optimization

References

• 1. İ. Kocaarslan, E. Çam, H. Tiryaki, B. Akbıyık, “Bir Termik Elektrik Santralinde Kontrol Yönteminin Üretime Olan Etkilerinin Karşılaştırılması.”, Uluslararası 9.Yanma Sempozyumu, Kırıkkale Üniversitesi, 16-17 Kasım 2006, 402-414. (In Turkish). 2. M. A. Ehyaei, M. Tahani, P. Ahmadi, M. Esfandiari, “Optimization of fog inlet aircooling system for combined cycle power plants using genetic algorithm.”, Appl Therm Eng, vol. 76, pp. 44961, 2015. [CrossRef] 3. İ. Kocaarslan, E. Çam, İ. Eke, H. Tiryaki, “ In a Hydroelectric Power Plant Fuzzy Logic Controller Application.”, TOK’05 Automatic Control National Meeting, Istanbul, 2-3 June 2005, 563-568. (In Turkish) 4. Ö.P. Akkaş, E. Çam, İ. Eke, Y. Arıkan, “New Optimization Algorithms for Application to Environmental Economic Load Dispatch in Power Systems”, Electrica, vol. 18, no: 2, pp. 133-142, 2018. [CrossRef] 5. F. A. Boyaghch, H. Molaie, “Advanced exergy and environmental analyses and multi objective optimization of a real combined cycle power plant with supplementary firing using evolutionary algorithm.”, Energy vol. 93, pp. 2267-2279, 2015. [CrossRef] 6. H. Tiryaki, “Application of Modern Control Methods in Load Distribution Systems”, Istanbul University, Institute of Science, Doctoral Thesis, Istanbul. 2013. (In Turkish) 7. İ. Kocaarslan, H. Tiryaki, “Comparison of PSO-PID and FGPI Controllers on a Thermal Power Plant” International Journal of Engineering Research and Development, Vol.5, No.2, June 2013. (In Turkish) 8. Debbah, A., Kherfane, H., “GA/PSO Robust Sliding Mode Control of Aerodynamics in Gas Turbine.”, Acta Universitatis Sapientiae Electrical and Mechanical Engineering, vol. 10, pp.42-66, 2018. [CrossRef] 9. M. Montazeri-Gh , S. Jafari, M. R. Ilkhani, “Application of particle swarm optimization in gas turbine engine fuel controller gain tuning”, Engineering Optimization, vol. 44, no. 2, 225-240, 2012. [CrossRef] 10. H. V. Haji, A. C. Monje, “Fractional order fuzzy-PID control of a combined cycle power plant using Particle Swarm Optimization algorithm with an improved dynamic parameters selection”, Applied Soft Computing, vol. 58, pp. 256-264, 2017. [CrossRef] 11. B. Çiftkaya, “Analysis and Simulation of Gas Turbines Used in Electricity Generation”, İstanbul Technical University, Institute of Science, Master Thesis, Istanbul. 2010. (In Turkish) 12. İ. Yüksel, “Automatic Control System Dynamics and Control Systems”, Birsen Publisher, Bursa. 1997. (In Turkish) 13. J. Kennedy, R. Eberhant, “ Particle Swarm Optimization”, 9.Neural Networks, Proceeding IEEE Conference, pg. 1942-1948, 1995. [CrossRef] 14. M. Clerck, “The swarm and the queen: towards a deterministic and adaptive particle swarm optimization”, Proceedings of the Conference on Evolutionary Computation, pp. 1951-1957, 1999. [CrossRef] 15. E. Bal, “Power Systems in Strain Control Stable Crimp Applies and Alternatives”, İstanbul University, Institute of Science, Master Thesis, İstanbul. 2012. (In Turkish)
• Yılmaz ARIKUŞU was born in Mersin in 1992. He received his B.Sc degree in Electrical and Electronic Engineering from Isık University in 2015. He completed his M.Sc. degree in Electrical and Electronics Engineering from Istanbul Bilgi University in 2018. Currently, he is Ph.D candidate in Electrical and Electronics Engineering at Istanbul University-Cerrahpasa. His research interests are automatic control systems, control systems design, robust control, fuzzy logic control
• Nevra BAYHAN was born in Istanbul. She received her B.Sc. and M.Sc. degrees in Electrical and Electronics Engineering from Istanbul University in 1997 and 2001, respectively. She completed her Ph.D. in Control and Automation Engineering at Istanbul Technical University in 2008. Since 2011, she has been working at the Electrical and Electronics Engineering Department of Istanbul University - Cerrahpasa as an Assistant Professor. Her research interests are automatic control systems, control systems design, robust control, time-delay systems, digital control systems, energy, low order controller design and control of systems with parameter
• Hasan TİRYAKİ was born in Denizli in 1980. He received his B.Sc. and M.Sc. degrees in Electrical and Electronics Engineering from Kirikkale University in 2002 and 2005, respectively. He received his Ph. D. degree in Electrical and Electronics Engineering from Istanbul University in 2013.Since 2016, he has been working in Electrical and Electronics Engineering Department at Istanbul University - Cerrahpasa Engineering Faculty as a Asst. Prof. His research interests are electrical cars, control systems, automation, renewable energy, power generation, transmission and distribution.