Preference cone based multi-objective evolutionary algorithm applied to optimal management of distributed energy resources in microgrids

WM Ferreira, IR Meneghini, DI Brandao, FG Guimarães - Applied Energy, 2020 - Elsevier
The existence of unbalanced loads and high penetration of single-phase distributed energy
resources connected unevenly throughout the phases of a microgrid causes unbalanced …
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Preference cone based multi-objective evolutionary algorithm applied to optimal management of distributed energy resources in microgrids

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The existence of unbalanced loads and high penetration of single-phase distributed energy
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Preference cone based multi-objective evolutionary algorithm applied to optimal management of distributed energy resources in microgrids

WM Ferreira, IR Meneghini, DI Brandao… - Applied …, 2020 - econpapers.repec.org
The existence of unbalanced loads and high penetration of single-phase distributed energy
resources connected unevenly throughout the phases of a microgrid causes unbalanced …

Preference cone based multi-objective evolutionary algorithm applied to optimal management of distributed energy resources in microgrids

WM Ferreira, IR Meneghini, DI Brandao… - Applied …, 2020 - ui.adsabs.harvard.edu
The existence of unbalanced loads and high penetration of single-phase distributed energy
resources connected unevenly throughout the phases of a microgrid causes unbalanced …

[引用][C] Preference cone based multi-objective evolutionary algorithm applied to optimal management of distributed energy resources in microgrids

WM Ferreira, IR Meneghini, DI Brandao, FG Guimarães - 2020