Economical-environmental-technical optimal power flow solutions using a novel self-adaptive wild geese algorithm with stochastic wind and solar power

Economical-environmental-technical optimal power flow solutions using a novel self-adaptive wild geese algorithm with stochastic wind and solar power

Abstract This study introduces an enhanced self-adaptive wild goose algorithm (SAWGA) for solving economical-environmental-technical optimal power flow (OPF) problems in traditional and modern energy systems. Leveraging adaptive search strategies and robust diversity capabilities, SAWGA distinguishe...

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Bibliographic Details
Main Authors: Pavel Trojovský, Eva Trojovská, Ebrahim Akbari
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
Economical-environmental-technical dispatch problem
Electrical networks
Renewable energy sources (RESs)
Optimal power flow (OPF)
Self-adaptive wild geese algorithm (SAWGA)
OPF optimization functions
Online Access:https://doi.org/10.1038/s41598-024-54510-1

Internet

https://doi.org/10.1038/s41598-024-54510-1

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