Approach to control of hybrid renewable power system on the basis of AE-method using genetic algorithm

V. Ten, B. Matkarimov, N. Isembergenov

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

1 Citation (Scopus)

Abstract

A hybrid renewable power system test site located at Nazarbayev University is described and a problem statement is formulated. Uncertain disturbances from a consumer grid side are considered and a control approach based on the method of additional equilibria is proposed. For automatic adjustment the controller and control plant parameters, a genetic algorithm is proposed. Results from a MATLAB simulation of the designed control system are presented.

Original languageEnglish
Title of host publicationProceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013
PublisherIEEE Computer Society
Pages199-202
Number of pages4
Volume2
DOIs
Publication statusPublished - 2013
Event2013 12th International Conference on Machine Learning and Applications, ICMLA 2013 - Miami, FL, United States
Duration: Dec 4 2013Dec 7 2013

Other

Other2013 12th International Conference on Machine Learning and Applications, ICMLA 2013
CountryUnited States
CityMiami, FL
Period12/4/1312/7/13

Keywords

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

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction

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  • Cite this

    Ten, V., Matkarimov, B., & Isembergenov, N. (2013). Approach to control of hybrid renewable power system on the basis of AE-method using genetic algorithm. In Proceedings - 2013 12th International Conference on Machine Learning and Applications, ICMLA 2013 (Vol. 2, pp. 199-202). [6786108] IEEE Computer Society. https://doi.org/10.1109/ICMLA.2013.123