An Improved Human-Inspired Algorithm for Distribution Network Stochastic Reconfiguration Using a Multi-Objective Intelligent Framework and Unscented Transformation

An Improved Human-Inspired Algorithm for Distribution Network Stochastic Reconfiguration Using a Multi-Objective Intelligent Framework and Unscented Transformation

In this paper, a stochastic multi-objective intelligent framework (MOIF) is performed for distribution network reconfiguration to minimize power losses, the number of voltage sags, the system’s average RMS fluctuation, the average system interruption frequency (ASIFI), the momentary average interrup...

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Bibliographic Details
Main Authors:	Min Zhu, Saber Arabi Nowdeh, Aspassia Daskalopulu
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Series:	Mathematics
Subjects:	multi-objective intelligent framework reconfiguration voltage sag reliability unscented transformation improved mountaineering team-based optimization algorithm
Online Access:	https://www.mdpi.com/2227-7390/11/17/3658

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