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

V. Ten; B. Matkarimov; N. Isembergenov

doi:10.1109/ICMLA.2013.123

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: Contribution to conference › Paper › peer-review

2 Citations (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 language	English
Pages	199-202
Number of pages	4
DOIs	https://doi.org/10.1109/ICMLA.2013.123
Publication status	Published - 2013
Event	2013 12th International Conference on Machine Learning and Applications, ICMLA 2013 - Miami, FL, United States Duration: Dec 4 2013 → Dec 7 2013

Other

Other	2013 12th International Conference on Machine Learning and Applications, ICMLA 2013
Country/Territory	United States
City	Miami, FL
Period	12/4/13 → 12/7/13

Keywords

Additional Equilibria
Control Systems
Genetic Algorithm
Hybrid Renewable Energy Sources

ASJC Scopus subject areas

Computer Science Applications
Human-Computer Interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICMLA.2013.123

Cite this

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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.",

keywords = "Additional Equilibria, Control Systems, Genetic Algorithm, Hybrid Renewable Energy Sources",

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AU - Matkarimov, B.

AU - Isembergenov, N.

PY - 2013

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N2 - 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.

AB - 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.

KW - Additional Equilibria

KW - Control Systems

KW - Genetic Algorithm

KW - Hybrid Renewable Energy Sources

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Y2 - 4 December 2013 through 7 December 2013

ER -

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

Abstract

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Keywords

ASJC Scopus subject areas

UN SDGs

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