Integrating renewable energy and V2G uncertainty into optimal power flow: A gradient bald eagle search optimization algorithm with local escaping operator

Integrating renewable energy and V2G uncertainty into optimal power flow: A gradient bald eagle search optimization algorithm with local escaping operator

Abstract Here, a new approach is proposed for solving the optimal power flow (OPF) problem in transmission networks using a Gradient Bald Eagle Search Algorithm (GBES) with a Local Escaping Operator (LEO). The method takes into account uncertainty of the renewable energy sources (wind energy and pho...

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Bibliographic Details
Main Authors: Mohamed H. Hassan, Salah Kamel, José Luis Domínguez‐García, Reagan Jean Jacques Molu
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:IET Renewable Power Generation
Subjects:
heuristic programming
renewable energy sources
Vehicle‐to‐Grid
Online Access:https://doi.org/10.1049/rpg2.12874
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