Management strategies for hydropower plants a simple dynamic programming approach
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2023
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| _version_ | 1866916918550593536 |
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| author | Olofsson, Marcus Lundström, André Berg Niklas L. P. |
| author_facet | Olofsson, Marcus Lundström, André Berg Niklas L. P. |
| contents | We use a dynamic programming approach to construct management strategies for a hydropower plant with a dam and a continuously adjustable unit. Along the way, we estimate unknown variables via simple models using historical data and forecasts. Our suggested scheme achieves on average 97.1 % of the theoretical maximum using small computational effort. We also apply our scheme to a Run-of-River hydropower plant and compare the strategies and results to the much more involved PDE-based optimal switching method studied earlier by the authors in (Optimization and Engineering (2021): 1-25); this comparison shows that our simple approach may be preferable if the underlying data is sufficiently rich. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_04462 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Management strategies for hydropower plants a simple dynamic programming approach Olofsson, Marcus Lundström, André Berg Niklas L. P. Optimization and Control We use a dynamic programming approach to construct management strategies for a hydropower plant with a dam and a continuously adjustable unit. Along the way, we estimate unknown variables via simple models using historical data and forecasts. Our suggested scheme achieves on average 97.1 % of the theoretical maximum using small computational effort. We also apply our scheme to a Run-of-River hydropower plant and compare the strategies and results to the much more involved PDE-based optimal switching method studied earlier by the authors in (Optimization and Engineering (2021): 1-25); this comparison shows that our simple approach may be preferable if the underlying data is sufficiently rich. |
| title | Management strategies for hydropower plants a simple dynamic programming approach |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2310.04462 |