Approach to control of the output voltage in renewable energy sources on the basis of AE-method using genetic algorithm

V. Ten, N. Isembergenov, Y. Akhmetbekov, D. Sarbassov, A. Iglikov, B. Matkarimov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2 Citations

Abstract

Problem statement for a renewable power system test site located at Nazarbayev University is formulated with consideration of a presence of uncertain disturbances from consumer grid side. Proposed controller is based on the method of additional equilibria. For adjusting of parameters of controller and control plant the genetic algorithm is proposed. Results of MATLAB simulation of designed control system are presented.

LanguageEnglish
Title of host publicationProceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012
Pages493-497
Number of pages5
Volume2
DOIs
StatePublished - 2012
Event11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012 - Boca Raton, FL, United States
Duration: Dec 12 2012Dec 15 2012

Other

Other11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012
CountryUnited States
CityBoca Raton, FL
Period12/12/1212/15/12

Fingerprint

energy source
renewable energy
control system
Genetic algorithms
Controllers
simulation
Electric potential
MATLAB
Control systems

Keywords

  • Additional Equilibria
  • Control Systems
  • Genetic Algorithm
  • Renewable Energy Sources

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Education

Cite this

Ten, V., Isembergenov, N., Akhmetbekov, Y., Sarbassov, D., Iglikov, A., & Matkarimov, B. (2012). Approach to control of the output voltage in renewable energy sources on the basis of AE-method using genetic algorithm. In Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012 (Vol. 2, pp. 493-497). [6406784] DOI: 10.1109/ICMLA.2012.168

Approach to control of the output voltage in renewable energy sources on the basis of AE-method using genetic algorithm. / Ten, V.; Isembergenov, N.; Akhmetbekov, Y.; Sarbassov, D.; Iglikov, A.; Matkarimov, B.

Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. Vol. 2 2012. p. 493-497 6406784.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ten, V, Isembergenov, N, Akhmetbekov, Y, Sarbassov, D, Iglikov, A & Matkarimov, B 2012, Approach to control of the output voltage in renewable energy sources on the basis of AE-method using genetic algorithm. in Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. vol. 2, 6406784, pp. 493-497, 11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012, Boca Raton, FL, United States, 12/12/12. DOI: 10.1109/ICMLA.2012.168
Ten V, Isembergenov N, Akhmetbekov Y, Sarbassov D, Iglikov A, Matkarimov B. Approach to control of the output voltage in renewable energy sources on the basis of AE-method using genetic algorithm. In Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. Vol. 2. 2012. p. 493-497. 6406784. Available from, DOI: 10.1109/ICMLA.2012.168
Ten, V. ; Isembergenov, N. ; Akhmetbekov, Y. ; Sarbassov, D. ; Iglikov, A. ; Matkarimov, B./ Approach to control of the output voltage in renewable energy sources on the basis of AE-method using genetic algorithm. Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012. Vol. 2 2012. pp. 493-497
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