Using an intelligent method for microgrid generation and operation planning while considering load uncertainty

The integration of distributed generation (DG), energy storage systems (ESS), and controllable loads near the place of consumption has led to the creation of microgrids. However, the uncertain nature of renewable energy sources (wind and photovoltaic), market prices, and loads have caused issues wit...

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Autores:
Saeedeh Mansouri
Farhad Zishan
Montoya, Oscar Danilo
Mohammadreza Azimizadeh
Giral-Ramirez, Diego Armando
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12424
Acceso en línea:
https://hdl.handle.net/20.500.12585/12424
https://doi.org/10.1016/j.rineng.2023.100978
Palabra clave:
Microgrid
Generation planning
Optimization problem
SALP Swarm algorithm
Operation cost
Uncertainty of generation and load
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.title.spa.fl_str_mv Using an intelligent method for microgrid generation and operation planning while considering load uncertainty
title Using an intelligent method for microgrid generation and operation planning while considering load uncertainty
spellingShingle Using an intelligent method for microgrid generation and operation planning while considering load uncertainty
Microgrid
Generation planning
Optimization problem
SALP Swarm algorithm
Operation cost
Uncertainty of generation and load
title_short Using an intelligent method for microgrid generation and operation planning while considering load uncertainty
title_full Using an intelligent method for microgrid generation and operation planning while considering load uncertainty
title_fullStr Using an intelligent method for microgrid generation and operation planning while considering load uncertainty
title_full_unstemmed Using an intelligent method for microgrid generation and operation planning while considering load uncertainty
title_sort Using an intelligent method for microgrid generation and operation planning while considering load uncertainty
dc.creator.fl_str_mv Saeedeh Mansouri
Farhad Zishan
Montoya, Oscar Danilo
Mohammadreza Azimizadeh
Giral-Ramirez, Diego Armando
dc.contributor.author.none.fl_str_mv Saeedeh Mansouri
Farhad Zishan
Montoya, Oscar Danilo
Mohammadreza Azimizadeh
Giral-Ramirez, Diego Armando
dc.subject.keywords.spa.fl_str_mv Microgrid
Generation planning
Optimization problem
SALP Swarm algorithm
Operation cost
Uncertainty of generation and load
topic Microgrid
Generation planning
Optimization problem
SALP Swarm algorithm
Operation cost
Uncertainty of generation and load
description The integration of distributed generation (DG), energy storage systems (ESS), and controllable loads near the place of consumption has led to the creation of microgrids. However, the uncertain nature of renewable energy sources (wind and photovoltaic), market prices, and loads have caused issues with guaranteeing power quality and balancing generation and consumption. To solve these issues, microgrids should be managed with an energy management system (EMS), which facilitates the minimization of operating (performance) costs, the emission of pollutants, and peak loads while meeting technical constraints. To this effect, this research attempts to adjust parameters by defining indicators related to the best possible conditions of the microgrid. Generation planning, the storage of generated power, and exchange with the main grid are carried out by defining a dual-purpose objective function, which includes reducing the operating cost of power generation, as well as the pollution caused by it in the microgrid, by means of the SALP optimization algorithm. Moreover, in order to make the process more realistic and practical for microgrid planning, some parameters are considered as indefinite values, as they do not have exact values in their natural state. The results show the effect of using the introduced intelligent optimization method on reducing the objective function value (cost and pollution).
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-07-25T12:09:48Z
dc.date.available.none.fl_str_mv 2023-07-25T12:09:48Z
dc.date.issued.none.fl_str_mv 2023-02-22
dc.date.submitted.none.fl_str_mv 2023-07-24
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dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.rineng.2023.100978
dc.identifier.instname.spa.fl_str_mv Universidad Tecnológica de Bolívar
dc.identifier.reponame.spa.fl_str_mv Repositorio Universidad Tecnológica de Bolívar
url https://hdl.handle.net/20.500.12585/12424
https://doi.org/10.1016/j.rineng.2023.100978
identifier_str_mv Universidad Tecnológica de Bolívar
Repositorio Universidad Tecnológica de Bolívar
dc.language.iso.spa.fl_str_mv eng
language eng
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dc.rights.cc.*.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.format.extent.none.fl_str_mv 12 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.place.spa.fl_str_mv Cartagena de Indias
dc.publisher.sede.spa.fl_str_mv Campus Tecnológico
dc.source.spa.fl_str_mv Results in Engineering
institution Universidad Tecnológica de Bolívar
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spelling Saeedeh Mansouria2e71ac4-e254-4d32-8ea2-7d068504f769Farhad Zishan58360af3-fab1-448a-b6bb-d98facc6c28aMontoya, Oscar Danilo8a59ede1-6a4a-4d2e-abdc-d0afb14d4480Mohammadreza Azimizadehfa231eae-0d73-4c57-81ec-675455bc8c05Giral-Ramirez, Diego Armandoe3cd5e04-0764-4a42-99bc-cd7fd3939ced2023-07-25T12:09:48Z2023-07-25T12:09:48Z2023-02-222023-07-24https://hdl.handle.net/20.500.12585/12424https://doi.org/10.1016/j.rineng.2023.100978Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThe integration of distributed generation (DG), energy storage systems (ESS), and controllable loads near the place of consumption has led to the creation of microgrids. However, the uncertain nature of renewable energy sources (wind and photovoltaic), market prices, and loads have caused issues with guaranteeing power quality and balancing generation and consumption. To solve these issues, microgrids should be managed with an energy management system (EMS), which facilitates the minimization of operating (performance) costs, the emission of pollutants, and peak loads while meeting technical constraints. To this effect, this research attempts to adjust parameters by defining indicators related to the best possible conditions of the microgrid. Generation planning, the storage of generated power, and exchange with the main grid are carried out by defining a dual-purpose objective function, which includes reducing the operating cost of power generation, as well as the pollution caused by it in the microgrid, by means of the SALP optimization algorithm. Moreover, in order to make the process more realistic and practical for microgrid planning, some parameters are considered as indefinite values, as they do not have exact values in their natural state. The results show the effect of using the introduced intelligent optimization method on reducing the objective function value (cost and pollution).12 páginasapplication/pdfenghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://purl.org/coar/access_right/c_abf2Results in EngineeringUsing an intelligent method for microgrid generation and operation planning while considering load uncertaintyinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/drafthttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_b1a7d7d4d402bcceMicrogridGeneration planningOptimization problemSALP Swarm algorithmOperation costUncertainty of generation and loadCartagena de IndiasCampus TecnológicoPúblico generalL. Barelli, G. Bidini, F. 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Pahlavani, Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source, Energy 36 (11) (2011) 6490–6507, https://doi. org/10.1016/j.energy.2011.09.017.http://purl.org/coar/resource_type/c_2df8fbb1ORIGINAL1-s2.0-S2590123023001056-main.pdf1-s2.0-S2590123023001056-main.pdfapplication/pdf5361991https://repositorio.utb.edu.co/bitstream/20.500.12585/12424/1/1-s2.0-S2590123023001056-main.pdf53982f699b069466eab8affab4188cb6MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.utb.edu.co/bitstream/20.500.12585/12424/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83182https://repositorio.utb.edu.co/bitstream/20.500.12585/12424/3/license.txte20ad307a1c5f3f25af9304a7a7c86b6MD53TEXT1-s2.0-S2590123023001056-main.pdf.txt1-s2.0-S2590123023001056-main.pdf.txtExtracted 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