Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance

Comparative Analysis of Nature-Inspired Algorithms for Optimal Power Flow Problem: A Focus on Penalty-Vanishing Terms and Algorithm Performance

This study presents a comparative analysis of multiple nature-inspired algorithms for solving the non-polynomial Optimal Power Flow (OPF) problem. Through numerical evaluations, we assess their performance across diverse objective functions, addressing complexities such as multi-fuel sources, valve...

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Bibliographic Details
Main Authors: Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Nature-inspired algorithms
optimal power flow
optimization
penalty-vanishing terms
success rate
Online Access:https://ieeexplore.ieee.org/document/10440616/

Internet

https://ieeexplore.ieee.org/document/10440616/

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