Energy analysis and optimization of wind turbines by Ant colony optimization algorithm in efficiency and power output

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KORDANI N.; YAZDANPARAST R.

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Journal: IRANIAN JOURNAL OF MARINE TECHNOLOGY Year:2019 | Volume:6 | Issue:1 (15) Page(s): 67-77

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Title

Energy analysis and optimization of wind turbines by Ant colony optimization algorithm in efficiency and power output

Author(s)

KORDANI N. | YAZDANPARAST R. | Issue Writer Certificate

Keywords

Output powerQ1

Wind TurbineQ1

Energy EfficiencyQ1

ant colony algorithmQ1

Abstract

A theorical method is presented to analyse a way to increase generated power and Energy Efficiency in Wind Turbine by optimizing the Cut-in, Rated, Furling speeds by the ant colony algorithm. In this paper, we first discuss the Wind Turbine math modeling, which ultimately achieves the objective function. Then, by collecting the turbine statistical data, the computerized code of the neural network, Wind Turbine is modeled in MATLAB software and its results are presented as tables and diagrams. By examining the results of optimization by ant colony algorithm and comparing the data with the results of the research in the article on exergy analysis of Wind Turbines and Also the paper that describes the exergy analysis and optimization of Wind Turbines by genetic algorithm and searching algorithm optimizing the turbine, Finally, 65. 63% increase in Output power and 61. 54% increase in Energy Efficiency was observed in the ant algorithm.

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APA: Copy

KORDANI, N., & YAZDANPARAST, R.. (2019). Energy analysis and optimization of wind turbines by Ant colony optimization algorithm in efficiency and power output. IRANIAN JOURNAL OF MARINE TECHNOLOGY, 6(1 (15) ), 67-77. SID. https://sid.ir/paper/251892/en

Vancouver: Copy

KORDANI N., YAZDANPARAST R.. Energy analysis and optimization of wind turbines by Ant colony optimization algorithm in efficiency and power output. IRANIAN JOURNAL OF MARINE TECHNOLOGY[Internet]. 2019;6(1 (15) ):67-77. Available from: https://sid.ir/paper/251892/en

IEEE: Copy

N. KORDANI, and R. YAZDANPARAST, “Energy analysis and optimization of wind turbines by Ant colony optimization algorithm in efficiency and power output,” IRANIAN JOURNAL OF MARINE TECHNOLOGY, vol. 6, no. 1 (15) , pp. 67–77, 2019, [Online]. Available: https://sid.ir/paper/251892/en

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