An information gap decision theory and improved gradient-based optimizer for robust optimization of renewable energy systems in distribution network

An information gap decision theory and improved gradient-based optimizer for robust optimization of renewable energy systems in distribution network

Abstract In this paper, a robust fuzzy multi-objective framework is performed to optimize the dispersed and hybrid renewable photovoltaic-wind energy resources in a radial distribution network considering uncertainties of renewable generation and network demand. A novel multi-objective improved grad...

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Bibliographic Details
Main Authors: Fude Duan, Ali Basem, Sadek Habib Ali, Teeb Basim Abbas, Mahdiyeh Eslami, Mahdi Jafari Shahbazzadeh
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Renewable energy
Distribution network
Robust optimization
Uncertainty risk
Information gap decision theory
Multi-objective improved gradient-based optimizer
Online Access:https://doi.org/10.1038/s41598-024-83521-1
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