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 language | English |
|---|---|
| Title of host publication | 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 |
| Editors | David Rivas Lalaleo, Monica Karel Huerta |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665487443 |
| DOIs | |
| State | Published - 2022 |
| Event | 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 - Quito, Ecuador Duration: 11 Oct 2022 → 14 Oct 2022 |
Publication series
| Name | 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 |
|---|
Conference
| Conference | 6th IEEE Ecuador Technical Chapters Meeting, ETCM 2022 |
|---|---|
| Country/Territory | Ecuador |
| City | Quito |
| Period | 11/10/22 → 14/10/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Energy management systems
- convex optimization
- microgrids
- mixed-integer programming
- photo-voltaic generation
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