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  New Time Step Strategy for Multi-period Optimal Power Flow Problems

Schween, N., Gerstner, P., Meyer-Hübner, N., & Heuveline, V. (2021). New Time Step Strategy for Multi-period Optimal Power Flow Problems. In S. Göttlich, M. Herty, & A. Milde (Eds.), Mathematical Modeling, Simulation and Optimization for Power Engineering and Management (pp. 199-217). Cham: Springer International Publishing.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-07DC-5 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-07DD-4
Genre: Book Chapter

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 Creators:
Schween, Nils1, Author           
Gerstner, Philipp, Author
Meyer-Hübner, Nico, Author
Heuveline, Vincent, Author
Affiliations:
1Division Prof. Dr. James A. Hinton, MPI for Nuclear Physics, Max Planck Society, ou_2074298              

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 Abstract: The computation of the optimum of a dynamical or multi-period Optimal Power Flow problem assuming an Interior Point Method (IPM) leads to linear systems of equations whose size is proportional to the number of considered time steps. In this paper we propose a new approach to reduce the amount of time steps needed. Assuming that the power grid's dynamic is mainly determined by changes of the residual demand, we drop time steps in case it does not change substantially. Hence, the size of the linear systems can be reduced. We tested this method for the German Power Grid of the year 2023 and a synthetic 960 h profile. We were able to reduce the amount of time steps by 40% without changing the quality objective function's value significantly.

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 Dates: 2021
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/978-3-030-62732-4_9
BibTex Citekey: Schween2021
 Degree: -

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Title: Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
Source Genre: Book
 Creator(s):
Göttlich, Simone, Editor
Herty, Michael, Editor
Milde, Anja, Editor
Affiliations:
-
Publ. Info: Cham : Springer International Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 199 - 217 Identifier: ISBN: 978-3-030-62732-4