An Energy Management System for a Residential Microgrid using Convex Optimization

Diana Estefanía Chérrez Barragán; Byron Alejandro Acuna Acurio; Byron Alejandro Acuña Acurio; Juan Camilo López; Felipe Grijalva; Juan Carlos Rodríguez; Luiz Carlos Pereira Da Silva

doi:10.1109/ETCM56276.2022.9935726

An Energy Management System for a Residential Microgrid using Convex Optimization

Diana Estefanía Chérrez Barragán, Byron Alejandro Acuna Acurio, Byron Alejandro Acuña Acurio, Juan Camilo López, Felipe Grijalva, Juan Carlos Rodríguez, Luiz Carlos Pereira Da Silva

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

2 Citas (Scopus)

Resumen

The field of energy management has recently gained prominence with the proliferation of renewable energies in residential microgrids. Traditionally, decision-making for energy management operations was performed by utilities. In the residential case, however, this process must be self-handled. This work presents an energy management system (EMS) for a residential microgrid using convex optimization to achieve optimal decisions. The results obtained show that the proposed model is three times faster than an EMS based on mixed-integer programming.

Idioma original	Inglés
Título de la publicación alojada	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
Editores	David Rivas Lalaleo, Monica Karel Huerta
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781665487443
DOI	https://doi.org/10.1109/ETCM56276.2022.9935726
Estado	Publicada - 2022
Evento	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 - Quito, Ecuador Duración: 11 oct. 2022 → 14 oct. 2022

Serie de la publicación

Nombre	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

Conferencia

Conferencia	6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
País/Territorio	Ecuador
Ciudad	Quito
Período	11/10/22 → 14/10/22

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1109/ETCM56276.2022.9935726

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Barragán, D. E. C., Acurio, B. A. A., Acurio, B. A. A., López, J. C., Grijalva, F., Rodríguez, J. C., & Da Silva, L. C. P. (2022). An Energy Management System for a Residential Microgrid using Convex Optimization. En D. R. Lalaleo, & M. K. Huerta (Eds.), 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 (6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ETCM56276.2022.9935726

Barragán, Diana Estefanía Chérrez ; Acurio, Byron Alejandro Acuna ; Acurio, Byron Alejandro Acuña et al. / An Energy Management System for a Residential Microgrid using Convex Optimization. 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. editor / David Rivas Lalaleo ; Monica Karel Huerta. Institute of Electrical and Electronics Engineers Inc., 2022. (6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022).

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title = "An Energy Management System for a Residential Microgrid using Convex Optimization",

abstract = "The field of energy management has recently gained prominence with the proliferation of renewable energies in residential microgrids. Traditionally, decision-making for energy management operations was performed by utilities. In the residential case, however, this process must be self-handled. This work presents an energy management system (EMS) for a residential microgrid using convex optimization to achieve optimal decisions. The results obtained show that the proposed model is three times faster than an EMS based on mixed-integer programming.",

keywords = "Energy management systems, convex optimization, microgrids, mixed-integer programming, photo-voltaic generation",

author = "Barrag{\'a}n, {Diana Estefan{\'i}a Ch{\'e}rrez} and Acurio, {Byron Alejandro Acuna} and Acurio, {Byron Alejandro Acu{\~n}a} and L{\'o}pez, {Juan Camilo} and Felipe Grijalva and Rodr{\'i}guez, {Juan Carlos} and {Da Silva}, {Luiz Carlos Pereira}",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 ; Conference date: 11-10-2022 Through 14-10-2022",

year = "2022",

doi = "10.1109/ETCM56276.2022.9935726",

language = "Ingl{\'e}s",

series = "6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022",

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editor = "Lalaleo, {David Rivas} and Huerta, {Monica Karel}",

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Barragán, DEC, Acurio, BAA, Acurio, BAA, López, JC, Grijalva, F, Rodríguez, JC & Da Silva, LCP 2022, An Energy Management System for a Residential Microgrid using Convex Optimization. En DR Lalaleo & MK Huerta (eds.), 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022, Institute of Electrical and Electronics Engineers Inc., 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022, Quito, Ecuador, 11/10/22. https://doi.org/10.1109/ETCM56276.2022.9935726

An Energy Management System for a Residential Microgrid using Convex Optimization. / Barragán, Diana Estefanía Chérrez; Acurio, Byron Alejandro Acuna; Acurio, Byron Alejandro Acuña et al.
6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. ed. / David Rivas Lalaleo; Monica Karel Huerta. Institute of Electrical and Electronics Engineers Inc., 2022. (6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

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T1 - An Energy Management System for a Residential Microgrid using Convex Optimization

AU - Barragán, Diana Estefanía Chérrez

AU - Acurio, Byron Alejandro Acuna

AU - Acurio, Byron Alejandro Acuña

AU - López, Juan Camilo

AU - Grijalva, Felipe

AU - Rodríguez, Juan Carlos

AU - Da Silva, Luiz Carlos Pereira

PY - 2022

Y1 - 2022

N2 - The field of energy management has recently gained prominence with the proliferation of renewable energies in residential microgrids. Traditionally, decision-making for energy management operations was performed by utilities. In the residential case, however, this process must be self-handled. This work presents an energy management system (EMS) for a residential microgrid using convex optimization to achieve optimal decisions. The results obtained show that the proposed model is three times faster than an EMS based on mixed-integer programming.

AB - The field of energy management has recently gained prominence with the proliferation of renewable energies in residential microgrids. Traditionally, decision-making for energy management operations was performed by utilities. In the residential case, however, this process must be self-handled. This work presents an energy management system (EMS) for a residential microgrid using convex optimization to achieve optimal decisions. The results obtained show that the proposed model is three times faster than an EMS based on mixed-integer programming.

KW - Energy management systems

KW - convex optimization

KW - microgrids

KW - mixed-integer programming

KW - photo-voltaic generation

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U2 - 10.1109/ETCM56276.2022.9935726

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M3 - Contribución a la conferencia

AN - SCOPUS:85142436260

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BT - 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

A2 - Lalaleo, David Rivas

A2 - Huerta, Monica Karel

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

Y2 - 11 October 2022 through 14 October 2022

ER -

Barragán DEC, Acurio BAA, Acurio BAA, López JC, Grijalva F, Rodríguez JC et al. An Energy Management System for a Residential Microgrid using Convex Optimization. En Lalaleo DR, Huerta MK, editores, 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022). doi: 10.1109/ETCM56276.2022.9935726

An Energy Management System for a Residential Microgrid using Convex Optimization

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