Abstract
The continuous adoption of renewable energy sources has led to the influx of prosumers who intermittently feed electricity back to the grid. This contributes additional uncertainty to grid planning and management. In this paper an energy management model for a prosumer microgrid is proposed and tested on a six-bus DC microgrid that interconnects prosumers. Particularly, the model determines the optimal schedules for power to be sourced from or sent to willing customers. Gekko-an optimization tool embedded in Python was used to solve the proposed model. Results from analyses suggest that for grids interconnecting prosumers with similar import/export profiles, wide-spread distribution of grid resources like batteries and flexible loads makes for lower voltage drops across the buses of the grid.
| Original language | English |
|---|---|
| Title of host publication | ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728140827 |
| DOIs | |
| Publication status | Published - Dec 2019 |
| Event | 6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019 - Kuala Lumpur, Malaysia Duration: 20 Dec 2019 → 21 Dec 2019 |
Publication series
| Name | ICETAS 2019 - 2019 6th IEEE International Conference on Engineering, Technologies and Applied Sciences |
|---|
Conference
| Conference | 6th IEEE International Conference on Engineering, Technologies and Applied Sciences, ICETAS 2019 |
|---|---|
| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 20/12/19 → 21/12/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- DC microgrid
- Gekko
- optimization
- prosumer
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Energy Engineering and Power Technology
- Engineering (miscellaneous)
- Electrical and Electronic Engineering
- Control and Optimization
- Instrumentation
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