Abstract
As the installed capacity of renewable energy sources has been increasing, a mismatch between production and consumption is more likely to happen in real-time. Therefore, in order to settle the power imbalances in real-time and to achieve an energy efficient system, a coupling of different energy sectors and implementation of model predictive control are promising solutions. This paper explores the flexibility and synergy of the Danish energy system. Moreover, the benefits of stochastic model predictive control implemented in the real Danish energy system are shown. Danish energy system includes electric power, natural gas and district heating system. Stochastic model predictive control based on Scenario Generation Method considers several uncertainties. The simulation results have shown the larger wind utilization by power-to-gas units, an increase in energy efficiency and cost savings.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2021 IEEE Madrid PowerTech |
| Number of pages | 6 |
| Publisher | IEEE |
| Publication date | 2021 |
| Article number | 9495091 |
| ISBN (Print) | 9781665435970 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 2021 IEEE Madrid PowerTech - Virtual Event - from the Alberto Aguilera Campus of Comillas University, Madrid, Spain Duration: 28 Jun 2021 → 2 Jul 2021 Conference number: 14 https://www.powertech2021.com/ |
Conference
| Conference | 2021 IEEE Madrid PowerTech |
|---|---|
| Number | 14 |
| Location | Virtual Event - from the Alberto Aguilera Campus of Comillas University |
| Country/Territory | Spain |
| City | Madrid |
| Period | 28/06/2021 → 02/07/2021 |
| Internet address |
Keywords
- Danish energy system
- Model predictive control
- Power-to-gas
- Real-time balancing
- Stochastic
