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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
  • Universidade Estadual de Campinas
  • Analog Devices, Inc.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

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.

Original languageEnglish
Title of host publication6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
EditorsDavid Rivas Lalaleo, Monica Karel Huerta
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665487443
DOIs
StatePublished - 2022
Event6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 - Quito, Ecuador
Duration: 11 Oct 202214 Oct 2022

Publication series

Name6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022

Conference

Conference6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022
Country/TerritoryEcuador
CityQuito
Period11/10/2214/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy management systems
  • convex optimization
  • microgrids
  • mixed-integer programming
  • photo-voltaic generation

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