Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation

This research proposes an effective energy management dispatch (EMD) using a convex approximation for battery-based energy storage systems (ESS) and renewable sources in medium-voltage distribution networks. By means of the branch flow formulation, the exact nonlinear programming model representing...

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Autores: Garrido-Arévalo, Víctor M., Gil-González, Walter, Montoya, Oscar Danilo, Grisales-Noreña, Luis Fernando, Hernández, Jesús C.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:0202
País:España
Institución:Universidad de Jaén
Repositorio:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
OAI Identifier:oai:ruja.ujaen.es:10953/6597
Acceso en línea:https://ieeexplore.ieee.org/document/10483011
https://doi.org/10.1109/ACCESS.2024.3382940
https://hdl.handle.net/10953/6597
Access Level:acceso abierto
Palabra clave:Energy management dispatch
second-order conic approximation
robust active and reactive power dispatch
variable power factor operation
battery-based energy storage systems
solar photovoltaic sources
urban and rural distribution grids.
621.35
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spelling Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming FormulationGarrido-Arévalo, Víctor M.Gil-González, WalterMontoya, Oscar DaniloGrisales-Noreña, Luis FernandoHernández, Jesús C.Energy management dispatchsecond-order conic approximationrobust active and reactive power dispatchvariable power factor operationbattery-based energy storage systemssolar photovoltaic sourcesurban and rural distribution grids.621.35This research proposes an effective energy management dispatch (EMD) using a convex approximation for battery-based energy storage systems (ESS) and renewable sources in medium-voltage distribution networks. By means of the branch flow formulation, the exact nonlinear programming model representing the EMD is transformed into a convex model through a second-order cone programming relaxation. Two contributions are presented in this work. The first involves analyzing battery-based EES and renewable sources, specifically focusing on their operation with a variable power factor. This analysis considers the reactive power control capabilities of the power electronic converters that connect distributed energy resources to the grid. The second contribution involves evaluating a robust operation scenario by incorporating uncertainties in the availability of renewable generation and the expected daily demand profile. Numerical validations are conducted on two radial distribution networks composed of 27 and 33 nodes. These networks were chosen to represent the characteristics of rural and urban networks in the Colombian distribution system. The results are then compared against those obtained with a classical unitary power factor. The main goal of the proposed EMD is to minimize the expected annual grid energy losses and operating costs through a single-objective analysis. A comparison with metaheuristic optimization algorithms, such as the parallel version of the particle swarm optimizer, the vortex search algorithm, and a genetic algorithm, demonstrates the effectiveness of our convex EMD model for both objective functions under study. All numerical simulations, including the robust model, were run using MATLAB’s Yalmip tool.IEEE-INST Electrical Electronics Engineers INC202520250202info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://ieeexplore.ieee.org/document/10483011https://doi.org/10.1109/ACCESS.2024.3382940https://hdl.handle.net/10953/6597reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaéninstname:Universidad de JaénInglésIEEE AccessAttribution 3.0 Spainhttp://creativecommons.org/licenses/by/3.0/es/info:eu-repo/semantics/openAccessoai:ruja.ujaen.es:10953/65972026-06-24T12:41:07Z
dc.title.none.fl_str_mv Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation
title Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation
spellingShingle Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation
Garrido-Arévalo, Víctor M.
Energy management dispatch
second-order conic approximation
robust active and reactive power dispatch
variable power factor operation
battery-based energy storage systems
solar photovoltaic sources
urban and rural distribution grids.
621.35
title_short Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation
title_full Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation
title_fullStr Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation
title_full_unstemmed Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation
title_sort Optimal Dispatch of DERs and Battery-Based ESS in Distribution Grids while Considering Reactive Power Capabilities and Uncertainties: A Second-Order Cone Programming Formulation
dc.creator.none.fl_str_mv Garrido-Arévalo, Víctor M.
Gil-González, Walter
Montoya, Oscar Danilo
Grisales-Noreña, Luis Fernando
Hernández, Jesús C.
author Garrido-Arévalo, Víctor M.
author_facet Garrido-Arévalo, Víctor M.
Gil-González, Walter
Montoya, Oscar Danilo
Grisales-Noreña, Luis Fernando
Hernández, Jesús C.
author_role author
author2 Gil-González, Walter
Montoya, Oscar Danilo
Grisales-Noreña, Luis Fernando
Hernández, Jesús C.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Energy management dispatch
second-order conic approximation
robust active and reactive power dispatch
variable power factor operation
battery-based energy storage systems
solar photovoltaic sources
urban and rural distribution grids.
621.35
topic Energy management dispatch
second-order conic approximation
robust active and reactive power dispatch
variable power factor operation
battery-based energy storage systems
solar photovoltaic sources
urban and rural distribution grids.
621.35
description This research proposes an effective energy management dispatch (EMD) using a convex approximation for battery-based energy storage systems (ESS) and renewable sources in medium-voltage distribution networks. By means of the branch flow formulation, the exact nonlinear programming model representing the EMD is transformed into a convex model through a second-order cone programming relaxation. Two contributions are presented in this work. The first involves analyzing battery-based EES and renewable sources, specifically focusing on their operation with a variable power factor. This analysis considers the reactive power control capabilities of the power electronic converters that connect distributed energy resources to the grid. The second contribution involves evaluating a robust operation scenario by incorporating uncertainties in the availability of renewable generation and the expected daily demand profile. Numerical validations are conducted on two radial distribution networks composed of 27 and 33 nodes. These networks were chosen to represent the characteristics of rural and urban networks in the Colombian distribution system. The results are then compared against those obtained with a classical unitary power factor. The main goal of the proposed EMD is to minimize the expected annual grid energy losses and operating costs through a single-objective analysis. A comparison with metaheuristic optimization algorithms, such as the parallel version of the particle swarm optimizer, the vortex search algorithm, and a genetic algorithm, demonstrates the effectiveness of our convex EMD model for both objective functions under study. All numerical simulations, including the robust model, were run using MATLAB’s Yalmip tool.
publishDate 0202
dc.date.none.fl_str_mv 0202
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://ieeexplore.ieee.org/document/10483011
https://doi.org/10.1109/ACCESS.2024.3382940
https://hdl.handle.net/10953/6597
url https://ieeexplore.ieee.org/document/10483011
https://doi.org/10.1109/ACCESS.2024.3382940
https://hdl.handle.net/10953/6597
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv IEEE Access
dc.rights.none.fl_str_mv Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 3.0 Spain
http://creativecommons.org/licenses/by/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE-INST Electrical Electronics Engineers INC
publisher.none.fl_str_mv IEEE-INST Electrical Electronics Engineers INC
dc.source.none.fl_str_mv reponame:RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
instname:Universidad de Jaén
instname_str Universidad de Jaén
reponame_str RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
collection RUJA. Repositorio Institucional de la Producción Científica de la Universidad de Jaén
repository.name.fl_str_mv
repository.mail.fl_str_mv
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