Optimization of Topological Reconfiguration in Electric Power Systems Using Genetic Algorithm and Nonlinear Programming with Discontinuous Derivatives

Optimization of Topological Reconfiguration in Electric Power Systems Using Genetic Algorithm and Nonlinear Programming with Discontinuous Derivatives

This article addresses a comprehensive analysis of power electrical systems, employing a combined approach of genetic algorithms and mathematical optimization through nonlinear programming with discontinuous derivatives (DNLP) in GAMS. The primary objective is to minimize economic losses and associa...

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Bibliographic Details
Main Authors: Giovanny Andrés Diaz Vargas, Darin Jairo Mosquera, Edwin Rivas Trujillo
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Electronics
Subjects:
genetic algorithm
costs
load shedding
DER
disruptive event
topological reconfiguration
Online Access:https://www.mdpi.com/2079-9292/13/3/616

Internet

https://www.mdpi.com/2079-9292/13/3/616

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