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 | |
| 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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ODS 7: Energía asequible y no contaminante
Huella
Profundice en los temas de investigación de 'An Energy Management System for a Residential Microgrid using Convex Optimization'. En conjunto forman una huella única.Citar esto
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