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...
Main Authors: | Daniel Kitamura, Leonardo Willer, Bruno Dias, Tiago Soares |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-02-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/3/1463 |
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