University of Twente Student Theses
Flexibility Informed Profile Steering using Shapley Values
Waals, F.W.J. van der (2024) Flexibility Informed Profile Steering using Shapley Values.
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| Abstract: | Profile Steering (PS) is a Demand Side Management (DSM) method that can schedule devices in order to reduce peak demands on the power grid. In PS, a coordinator iteratively asks all devices (or nodes) to optimize their power profile and accepts the best candidate profile presented. PS is unscalable as all nodes are asked to compute a candidate profile in each iteration. We propose Flexibility Informed Profile Steering (FIPS). An algorithm that uses flexibility information to determine the order in which nodes are asked to optimize on the problem. To quantify flexibility we use previous research on a solution concept called ‘Shapley values’ from game theory. This concept considers all contributions of a node with different combinations with other nodes. In this paper we investigate the performance of FIPS compared to PS by simulating power demand of different sizes of neighborhoods for a year. We found that FIPS has better scalability and an improved computational efficiency. Furthermore, the way we use the flexibility information influences the scalability, computational efficiency and the reached objective score. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 53 electrotechnology |
| Programme: | Electrical Engineering BSc (56953) |
| Link to this item: | https://purl.utwente.nl/essays/101035 |
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