Abstract
To be able to reach objectives such as peak shaving or self-consumption within smart grids, it becomes increasingly important to control smart grid ready devices within households. This paper explores the planning of devices with minimal run-time constraints and constraints on total cumulative production (e.g., buffer level), such as heat pumps and electric vehicles. For such devices, a novel dynamic programming formulation is presented that makes it possible to find the optimal planning in $\mathcal{O}(N^2)$ time and space, where $N$ is the number of time intervals. To evaluate the algorithm, we integrate it into an existing decentralized demand side management approach. This evaluation shows using simulations that a load curve within a neighborhood can be flattened this way.
Original language | Undefined |
---|---|
Number of pages | 6 |
DOIs | |
Publication status | Published - Oct 2016 |
Event | 2016 IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2016 - Ljubljana, Slovenia Duration: 9 Oct 2016 → 12 Oct 2016 http://sites.ieee.org/isgt-europe-2016/ |
Conference
Conference | 2016 IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2016 |
---|---|
Abbreviated title | ISGT Europe |
Country/Territory | Slovenia |
City | Ljubljana |
Period | 9/10/16 → 12/10/16 |
Internet address |
Keywords
- Smart Grids
- Optimal scheduling
- IR-103994
- EWI-27790