
Open access
Date
2017-11-06Type
- Working Paper
ETH Bibliography
yes
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Abstract
This paper presents a new method to determine the susceptances of a reduced transmission network representation by using nonlinear optimization. We use Power Transfer Distribution Factors (PTDFs) to convert the original grid into a reduced version, from which we determine the susceptances. From our case studies we find that considering a reduced injection-independent evaluated PTDF matrix is the best approximation and is by far better than an injection-dependent evaluated PTDF matrix over a given set of arbitrarily-chosen power injection scenarios. We also compare our nonlinear approach with existing methods from literature in terms of the approximation error and computation time. On average, we find that our approach reduces the mean error of the power flow deviations between the original power system and its reduced version. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000204666Publication status
publishedExternal links
Publisher
ETH ZurichOrganisational unit
02279 - Forschungsstelle Energienetze-ETH Zürich / Research Center for Energy Networks
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ETH Bibliography
yes
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