Optimizing Flexibility in Power Systems by Maximizing the Region of Manageable Uncertainties
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arXiv
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| Hauptverfasser: | , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866917901360955392 |
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| author | Zingler, Aron Fliscounakis, Stephane Panciatici, Patrick Mitsos, Alexander |
| author_facet | Zingler, Aron Fliscounakis, Stephane Panciatici, Patrick Mitsos, Alexander |
| contents | Motivated by the increasing need to hedge against load and generation uncertainty in the operation of power grids, we propose flexibility maximization during operation.
We consider flexibility explicitly as the amount of uncertainty that can be handled while still ensuring nominal grid operation in the worst-case. We apply the proposed flexibility optimization in the context of a DC flow approximation. By using a corresponding parameterization, we can find the maximal range of uncertainty and a range for the manageable power transfer between two parts of a network subject to uncertainty.
We formulate the corresponding optimization problem as an (existence-constrained) semi-infinite optimization problem and specialize an existing algorithm for its solution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_18178 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Optimizing Flexibility in Power Systems by Maximizing the Region of Manageable Uncertainties Zingler, Aron Fliscounakis, Stephane Panciatici, Patrick Mitsos, Alexander Optimization and Control 90C90 (Primary) 90C34, 90C47 (Secondary) Motivated by the increasing need to hedge against load and generation uncertainty in the operation of power grids, we propose flexibility maximization during operation. We consider flexibility explicitly as the amount of uncertainty that can be handled while still ensuring nominal grid operation in the worst-case. We apply the proposed flexibility optimization in the context of a DC flow approximation. By using a corresponding parameterization, we can find the maximal range of uncertainty and a range for the manageable power transfer between two parts of a network subject to uncertainty. We formulate the corresponding optimization problem as an (existence-constrained) semi-infinite optimization problem and specialize an existing algorithm for its solution. |
| title | Optimizing Flexibility in Power Systems by Maximizing the Region of Manageable Uncertainties |
| topic | Optimization and Control 90C90 (Primary) 90C34, 90C47 (Secondary) |
| url | https://arxiv.org/abs/2411.18178 |