Risk-Averse Stochastic Programming for Planning Hybrid Electrical Energy Systems: A Brazilian Case

Risk-Averse Stochastic Programming for Planning Hybrid Electrical Energy Systems: A Brazilian Case

This work presents a risk-averse stochastic programming model for the optimal planning of hybrid electrical energy systems (HEES), considering the regulatory policy applied to distribution systems in Brazil. Uncertainties associated with variables related to photovoltaic (PV) generation, load demand...

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Bibliographic Details
Main Authors: Daniel Kitamura, Leonardo Willer, Bruno Dias, Tiago Soares
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
hybrid electrical energy system
stochastic programming
risk analysis
optimization
renewable energy sources
Online Access:https://www.mdpi.com/1996-1073/16/3/1463

Internet

https://www.mdpi.com/1996-1073/16/3/1463

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