Grey Wolf Optimizer Applied to Dynamic Economic Dispatch Incorporating Wind Power

Grey Wolf Optimizer Applied to Dynamic Economic Dispatch Incorporating Wind Power

Hardiansyah Hardiansyah

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Grey Wolf Optimizer Applied to Dynamic Economic Dispatch Incorporating Wind Power

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Abstract

This article presents a new evolutionary optimization approach called gray wolf optimizer (GWO), which is based on gray wolf behavior for an optimal generating operation strategy. The GWO algorithm does not require any information about the gradient of the objective function, when searching for an optimal solution. The concept of the GWO algorithm, it seems a powerful and reliable optimization algorithm is applied to dynamic economic dispatch (DED) problem considering wind power. Many practical constraints of generators such as valve-point effects, ramp rate limits, and transmission losses are considered. The proposed algorithm is implemented and tested on two test systems that have 5-unit and 10-unit generators. The results confirm the potential and effectiveness of the proposed algorithm compared to various other methods are available in the literature. The results are very encouraging and prove that the GWO algorithm is a very effective optimization technique for solving various DED problems.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Hardiansyah Hardiansyah. 2020. \u201cGrey Wolf Optimizer Applied to Dynamic Economic Dispatch Incorporating Wind Power\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 20 (GJRE Volume 20 Issue F4): .

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GJRE Volume 20 Issue F4
Pg. 31- 41

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: FOR Code: 290901

Submission ReceivedDecember 7, 2019
Peer Review Double Blind
Handling Editor
Accepted January 5, 2020
Published January 15, 2020

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v1.2

Issue date

October 19, 2020

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