Veen, N.A. van der (2013) Predicting depreciation of flexibility in thermal buffer clusters in the PowerMatcher smart grid. Bachelor's Thesis, Artificial Intelligence.
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Abstract
An increase of less controllable supply and demand on the energy market asks for effective market balancing. The PowerMatcher is a market-based coordination mechanism for smart grid systems in which the balance is held by shifting the price. Sometimes the PowerMatcher is not able to hold the balance. It has a depreciation of the flexibility in supply or demand. We simulated the behavior of thermal clusters reacting on: 1) a request for demand or supply, 2) changes in heat demand of the households. We found a few variables that can be used as predictors for the depreciation of flexibility. We used these variables for creating models that can predict flexibility depreciation. We could predict depreciation of flexibility half an hour before with an accuracy of 76% and a hitrate of 73%. These kinds of predictions could help grid operators to prevent violation of security of supply or safety constraints.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:53 |
| Last Modified: | 15 Feb 2018 07:53 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/11181 |
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