University of Twente Student Theses
Speeding up profile steering algorithms with caching for buffer type devices
Overkamp, Niels (2019) Speeding up profile steering algorithms with caching for buffer type devices.
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| Abstract: | To enable the electricity grid to handle upcoming or pre- sent changes such as increasing penetration of electric ve- hicles and photovoltaics, a different approach of matching supply with demand is required. This approach must min- imise local and global overproduction and shortages, and due to the increasingly distributed nature of both produc- tion and consumption, it must be scalable. One such alter- native called profile steering iteratively and hierarchically communicates with consuming and producing devices to obtain a desired energy profile. It delegates the scheduling problem to these devices. Two important controllable de- vices for profile steering are electric vehicles and batteries. Research has been conducted into the theoretical optimisa- tion of the algorithms to be run on these devices. Caching might provide a significant decrease in the execution time of these algorithms. In this research three algorithms are presented and their performance is measured. We show that these algorithms use half of the execution time of the original algorithm when the number of relevant devices is more than 9 and that the Full cache algorithm requires half of the execution time for any number of relevant devices. |
| Item Type: | Essay (Bachelor) |
| Clients: | Unknown organization, Hengelo, Netherlands |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/79144 |
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