Abstract
In this paper, an Economic Model Predictive Control (EMPC) approach has been presented to manage a Community-based microgrid (C-µGCC) at the pricing level. The main task is at satisfying the demand at prosumer sides and, at the same time, optimizing various µ-Grid contrasting objectives. Emphasis has been given to the operational constraints related to the components lifetime, whose satisfaction would be beneficial for the grid in that the maintenance and replacement costs would be reduced. A simulative analysis has been carried out on the basis of available measured data related to a location in Dublin, Ireland. Results show the effectiveness of implementing the EMPC approach to optimally manage the system.
| Original language | English |
|---|---|
| Article number | 257 |
| Pages (from-to) | 172-177 |
| Number of pages | 6 |
| Journal | Renewable Energy and Power Quality Journal |
| Volume | 1 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - May 2016 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery Lifetime
- Economics of Renewable Energy Systems
- Microgrids Management
- Model Predictive Control
- Renewable energy
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