Abstract
Machine learning techniques have been used in the past using Monte Carlo samples to construct predictors of the dynamic stability of power systems. In this paper we move beyond the task of prediction and propose a comprehensive approach to use predictors, such as Decision Trees (DT), within a standard optimization framework for pre- and post-fault control purposes. In particular, we present a generalizable method for embedding rules derived from DTs in an operation decision-making model. We begin by pointing out the specific challenges entailed when moving from a prediction to a control framework. We proceed with introducing the solution strategy based on generalized disjunctive programming (GDP) as well as a two-step search method for identifying optimal hyper-parameters for balancing cost and control accuracy. We showcase how the proposed approach constructs security proxies that cover multiple contingencies while facing high-dimensional uncertainty with respect to operating conditions with the use of a case study on the IEEE 39-bus system. The method is shown to achieve efficient system control at a marginal increase in system price compared to an oracle model.
Original language | English |
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Title of host publication | 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 |
Subtitle of host publication | Conference Proceedings |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5386-3596-4 |
DOIs | |
Publication status | Published - 2018 |
Event | PMAPS 2018: International Conference on Probabilistic Methods Applied to Power Systems - Boise, ID, United States Duration: 24 Jun 2018 → 28 Jun 2018 |
Conference
Conference | PMAPS 2018 |
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Abbreviated title | PMAPS |
Country/Territory | United States |
City | Boise, ID |
Period | 24/06/18 → 28/06/18 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Decision Tree
- Disjunctive Rules
- Power Systems Operation
- Stability