Abstract
Nowadays, the development of advanced and innovative intelligent control techniques for energy management in buildings is a key issue within the smart grid topic. A nonlinear economic model predictive control (EMPC) scheme, based on the branch-and-bound tree search used as optimization algorithm for solving the nonconvex optimization problem is proposed in this paper. A simulation using the nonlinear model-based controller to control the temperature levels of an intelligent office building (PowerFlexHouse) is addressed. Its performance is compared with a linear model-based controller. The nonlinear controller
is shown very reliable keeping the comfort levels in the two considered seasons and shifting the load away from peak hours in order to achieve the desired flexible electricity consumption.
is shown very reliable keeping the comfort levels in the two considered seasons and shifting the load away from peak hours in order to achieve the desired flexible electricity consumption.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of IEEE ISGT 2016 |
| Number of pages | 6 |
| Publisher | IEEE |
| Publication date | 2016 |
| ISBN (Print) | 978-1-5090-3358-4 |
| Publication status | Published - 2016 |
| Event | 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe - Ljubljana, Slovenia Duration: 9 Oct 2016 → 12 Oct 2016 https://ieeexplore.ieee.org/xpl/conhome/7837797/proceeding |
Conference
| Conference | 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe |
|---|---|
| Country/Territory | Slovenia |
| City | Ljubljana |
| Period | 09/10/2016 → 12/10/2016 |
| Internet address |
Keywords
- Economic model predictive control
- Flexible electricity consumption
- Load shifting
- Nonlinear model-based controller
- Smart grid
