Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks

Access to reliable and economically viable electricity services remains a major challenge in non-interconnected zones (NIZs), particularly in developing countries. To address this issue, this study proposes a comprehensive methodology for the simultaneous planning and intelligent operation of distri...

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Autores: Guzmán-Henao, Jhony Andrés, Bolaños, Rubén Iván, Grisales-Noreña, Luis Fernando, Montoya, Oscar Danilo, Hernández, Jesús C.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
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:10953/6635
Acceso en línea:https://ieeexplore.ieee.org/document/11168251
https://doi.org/10.1109/ACCESS.2025.3610528
https://hdl.handle.net/10953/6635
Access Level:acceso abierto
Palabra clave:Photovoltaic distributed generation
unbalanced three-phase microgrids
noninterconnected zones
BESS
D-STATCOM
DERs
621.35
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spelling Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution NetworksGuzmán-Henao, Jhony AndrésBolaños, Rubén IvánGrisales-Noreña, Luis FernandoMontoya, Oscar DaniloHernández, Jesús C.Photovoltaic distributed generationunbalanced three-phase microgridsnoninterconnected zonesBESSD-STATCOMDERs621.35Access to reliable and economically viable electricity services remains a major challenge in non-interconnected zones (NIZs), particularly in developing countries. To address this issue, this study proposes a comprehensive methodology for the simultaneous planning and intelligent operation of distributed energy resources (DERs), specifically distributed generation (DG) units, battery energy storage systems (BESS), and Distribution Static Synchronous Compensators (D-STATCOMs), within unbalanced three-phase distribution systems. The proposed approach is formulated as a mixed-integer nonlinear programming (MINLP) model aimed at minimizing total system costs over a 20-year planning horizon, while accounting for technical and operational constraints under dynamic conditions in both renewable generation and electricity demand. To solve the model, three metaheuristic optimization techniques were implemented: the Chu–Beasley Genetic Algorithm (CBGA), the Vortex Search Algorithm (VSA), and the Black Widow Optimization Algorithm (BWOA). Each algorithm was independently executed 100 times in two representative test scenarios: a 25-bus system based on the distribution network of Leticia, and a 37-bus system derived from the San Andrés Island network. This evaluation enabled a statistical comparison of performance, convergence behavior, and repeatability. Results indicate that BWOA achieved the greatest cost reductions, with savings of 26.9304% and 35.6691% in Leticia and San Andrés, respectively. The selected configurations complied with all voltage and current constraints, while significantly reducing reliance on conventional diesel-based generation. These findings confirm the technical and economic viability of the proposed approach for the simultaneous integration and operation of DERs in isolated power systems.IEEE-INST Electrical Electronics Engineers INC202520252025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://ieeexplore.ieee.org/document/11168251https://doi.org/10.1109/ACCESS.2025.3610528https://hdl.handle.net/10953/6635reponame: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:10953/66352026-06-24T12:41:07Z
dc.title.none.fl_str_mv Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks
title Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks
spellingShingle Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks
Guzmán-Henao, Jhony Andrés
Photovoltaic distributed generation
unbalanced three-phase microgrids
noninterconnected zones
BESS
D-STATCOM
DERs
621.35
title_short Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks
title_full Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks
title_fullStr Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks
title_full_unstemmed Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks
title_sort Hierarchical Energy Planning and Control of DGs, BESS, and D-STATCOMs in Unbalanced Non-Interconnected Distribution Networks
dc.creator.none.fl_str_mv Guzmán-Henao, Jhony Andrés
Bolaños, Rubén Iván
Grisales-Noreña, Luis Fernando
Montoya, Oscar Danilo
Hernández, Jesús C.
author Guzmán-Henao, Jhony Andrés
author_facet Guzmán-Henao, Jhony Andrés
Bolaños, Rubén Iván
Grisales-Noreña, Luis Fernando
Montoya, Oscar Danilo
Hernández, Jesús C.
author_role author
author2 Bolaños, Rubén Iván
Grisales-Noreña, Luis Fernando
Montoya, Oscar Danilo
Hernández, Jesús C.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Photovoltaic distributed generation
unbalanced three-phase microgrids
noninterconnected zones
BESS
D-STATCOM
DERs
621.35
topic Photovoltaic distributed generation
unbalanced three-phase microgrids
noninterconnected zones
BESS
D-STATCOM
DERs
621.35
description Access to reliable and economically viable electricity services remains a major challenge in non-interconnected zones (NIZs), particularly in developing countries. To address this issue, this study proposes a comprehensive methodology for the simultaneous planning and intelligent operation of distributed energy resources (DERs), specifically distributed generation (DG) units, battery energy storage systems (BESS), and Distribution Static Synchronous Compensators (D-STATCOMs), within unbalanced three-phase distribution systems. The proposed approach is formulated as a mixed-integer nonlinear programming (MINLP) model aimed at minimizing total system costs over a 20-year planning horizon, while accounting for technical and operational constraints under dynamic conditions in both renewable generation and electricity demand. To solve the model, three metaheuristic optimization techniques were implemented: the Chu–Beasley Genetic Algorithm (CBGA), the Vortex Search Algorithm (VSA), and the Black Widow Optimization Algorithm (BWOA). Each algorithm was independently executed 100 times in two representative test scenarios: a 25-bus system based on the distribution network of Leticia, and a 37-bus system derived from the San Andrés Island network. This evaluation enabled a statistical comparison of performance, convergence behavior, and repeatability. Results indicate that BWOA achieved the greatest cost reductions, with savings of 26.9304% and 35.6691% in Leticia and San Andrés, respectively. The selected configurations complied with all voltage and current constraints, while significantly reducing reliance on conventional diesel-based generation. These findings confirm the technical and economic viability of the proposed approach for the simultaneous integration and operation of DERs in isolated power systems.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://ieeexplore.ieee.org/document/11168251
https://doi.org/10.1109/ACCESS.2025.3610528
https://hdl.handle.net/10953/6635
url https://ieeexplore.ieee.org/document/11168251
https://doi.org/10.1109/ACCESS.2025.3610528
https://hdl.handle.net/10953/6635
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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score 15.811543

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