Enhanced Hiking Optimization Algorithm for Robust PID Control in Doubly-Fed Induction Generator Systems for Wind Energy Applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F25%3A10258542" target="_blank" >RIV/61989100:27730/25:10258542 - isvavai.cz</a>
Result on the web
<a href="https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cth2.70071" target="_blank" >https://ietresearch.onlinelibrary.wiley.com/doi/full/10.1049/cth2.70071</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/cth2.70071" target="_blank" >10.1049/cth2.70071</a>
Alternative languages
Result language
angličtina
Original language name
Enhanced Hiking Optimization Algorithm for Robust PID Control in Doubly-Fed Induction Generator Systems for Wind Energy Applications
Original language description
This paper addresses the critical control challenges inherent in doubly fed induction generator (DFIG) systems, which are pivotal components of modern wind energy conversion systems (WECS). These systems often face performance degradation due to their nonlinear dynamics, sensitivity to grid disturbances, and difficulty in achieving robust control under fluctuating operational conditions. To tackle these issues, this study proposes an innovative approach for optimizing proportional-integral-derivative (PID) controller parameters using the hiking optimization algorithm (HOA). Inspired by Tobler's walking function, HOA is integrated with an enhanced version of the Zwe-Lee Gaing (ZLG) objective function that incorporates penalty terms for overshoot, settling time, control effort, and abrupt signal variations. This enables a robust balance between transient and steady-state performance in dynamic environments. Extensive simulations validate the effectiveness of the HOA-optimized PID controller against five state-of-the-art met heuristic algorithms: starfish optimization algorithm, grey wolf optimizer (GWO), dragonfly algorithm (DA), flow direction algorithm (FDA), and sine-cosine algorithm (SCA). The results demonstrate that HOA achieves superior performance across all key metrics, including zero overshoot, rapid settling time (0.08922 s), and minimal steady-state error. Statistically, HOA maintains the highest reliability with a standard deviation of just 0.0013 over 30 independent trials. In the frequency domain, HOA outperforms competitors by achieving the highest phase margin (87.163) and gain margin (26.11 dB), ensuring robust stability. The proposed controller also excels in disturbance rejection and input tracking under varying conditions. These findings establish HOA as a powerful and reliable optimization tool for advanced PID control of DFIG systems, with broader applicability in industrial control systems requiring high performance and adaptability.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
21100 - Other engineering and technologies
Result continuities
Project
<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IET Control Theory and Applications
ISSN
1751-8644
e-ISSN
1751-8652
Volume of the periodical
19
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
1-13
UT code for WoS article
001561855300001
EID of the result in the Scopus database
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