Scenario Generation Based on Ant Colony Optimization for Modelling Stochastic Variables in Power Systems

Scenario Generation Based on Ant Colony Optimization for Modelling Stochastic Variables in Power Systems

Uncertainty is an important subject in optimization problems due to the unpredictable nature of real variables in the power system area, which can condition the solution’s accuracy. The effective modelling of stochastic variables can contribute to the reduction in losses in the system under evaluati...

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Bibliographic Details
Main Authors: Daniel Fernández Valderrama, Juan Ignacio Guerrero Alonso, Carlos León de Mora, Michela Robba
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Energies
Subjects:
ant colony optimization
microgrids
stochastic processes
energy management
Online Access:https://www.mdpi.com/1996-1073/17/21/5293
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