Controller design of isolated power-electricity island using genetic algorithm

Ivan Sekaj 1  and Martin Ernek 1
  • 1 Institute of Robotics and Cybernetics, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology Bratislava, Slovakia

Abstract

The contribution presents the use of Genetic Algorithm for searching of the optimal parameters of a set of speed controllers of an isolated power-electricity island. Nine PI-controllers are designed. The cost function which is minimised using the Genetic Algorithm represents the integral of the control error area. Robustness aspects of the control design are considered as well.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • [1] D. E. Goldberg, “Genetic Algorithms in Search, Optimisation And Machine Learning”, Addisson-Wesley, 1989.

  • [2] A. E. Eiben and J. E. Smith, Introduction To Evolutionary Computing, Springer, 2003.

  • [3] I. Sekaj “Evolučné výpočty a ich využitie v praxi”, Bratislava: Iris, 2005 (in Slovak).

  • [4] I. Sekaj, “Control Algorithm Design Based On Evolutionary Algorithms”, Introduction To Modern Robotics, Hong Kong, Iconcept, Press Ltd., 2011, pp. 251–266.

  • [5] I. Sekaj and M. Šrámek, “Robust Controller Design Based on Genetic Algorithms and System Simulation”, 44th IEEE Conference on Decision and Control and European Control Conference, Proceedings vol. 1–8, CCD-ECC‘05; Seville, Spain, Dec 12–15 2005.

  • [6] J.Murgaš, I. Sekaj, M. Foltin and E.Miklovičová, “Optimization of Power System Stabilizer by Genetic Algorithm”, Proceedings of the 16th IFAC World Congress, 6th IFAC World Congress, Praha, Czech Republic, July 3–8 2005.

  • [7] A. Beláň, I. Sekaj and J. Valo, “Optimalizácia Napätí v elektriza čnej sústave pomocou genetických algoritmov”, Control of Power Systems 24, 6th International Conference, ˇ Strbské Pleso, Slovakia, June 16–18, 2004 FEI STU In Bratislava (In Slovak).

  • [8] Matlab R2017b, c 1994-2018 The Mathworks, Inc., www.mathworks.com.

  • [9] IEEE Power & Energy Society, Dynamic Models for Turbine-governors in Power System Studies, IEEE, 2013.

OPEN ACCESS

Journal + Issues

Search