Parameter Extraction Model of Wind Turbine Based on A Novel Pigeon-Inspired Optimization Algorithm

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F24%3A10256938" target="_blank" >RIV/61989100:27240/24:10256938 - isvavai.cz</a>

Result on the web

<a href="https://jit.ndhu.edu.tw/article/view/3073/3097" target="_blank" >https://jit.ndhu.edu.tw/article/view/3073/3097</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.70003/160792642024072504007" target="_blank" >10.70003/160792642024072504007</a>

Result language

angličtina

Original language name

Parameter Extraction Model of Wind Turbine Based on A Novel Pigeon-Inspired Optimization Algorithm

Original language description

This paper has been designed to address the problems of slow convergence and low convergence accuracy of the pigeon-inspired optimization (PIO) algorithm. The evolutionary mechanism of the PIO algorithm contains two stages, exploration and exploitation, which also exist to solve various numerical optimization problems not well. In order to solve the above problems, this paper proposes a novel pigeon-inspired optimization (NPIO) algorithm, which fuses the two stages of the operator into one stage, where exploitation and exploration are carried out simultaneously, and can assist the algorithm to find the optimal solution better. Numerical optimization problems can be solved with a smaller number of iterations. To verify the performance of the NPIO, standard test functions and practical application scenarios are selected for validation. Firstly, this paper uses 23 test functions to test and cross-sectionally compare with five optimization algorithms. The experimental results show that the NPIO is more competitive than the other five algorithms. Secondly, this paper is based on a high-precision mathematical model commonly used for wind turbines. It uses measurable quantities of wind turbines under actual operating conditions for the theoretical analysis of parameter identifiability. The results show that NPIO has a strong performance in wind turbine parameter identification. © 2024 Taiwan Academic Network Management Committee. All rights reserved.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Internet Technology

ISSN

1607-9264

e-ISSN

—

Volume of the periodical

25

Issue of the periodical within the volume

4

Country of publishing house

TW - TAIWAN (PROVINCE OF CHINA)

Number of pages

13

Pages from-to

561-573

UT code for WoS article

001362321500007

EID of the result in the Scopus database

2-s2.0-85201239953