Intraday renewable electricity trading: advanced modeling and numerical optimal control
As an extension of (Progress in industrial mathematics at ECMI 2018, pp. 469–475, 2019 ), this paper is concerned with a new mathematical model for intraday electricity trading involving both renewable and conventional generation. The model allows to incorporate market data e.g. for half-spread and...
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| Vydáno v: | Journal of mathematics in industry Ročník 10; číslo 1; s. 1 - 17 |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Berlin/Heidelberg
Springer Berlin Heidelberg
04.02.2020
Springer Nature B.V SpringerOpen |
| Témata: | |
| ISSN: | 2190-5983, 2190-5983 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | As an extension of (Progress in industrial mathematics at ECMI 2018, pp. 469–475,
2019
), this paper is concerned with a new mathematical model for intraday electricity trading involving both renewable and conventional generation. The model allows to incorporate market data e.g. for half-spread and immediate price impact. The optimal trading and generation strategy of an agent is derived as the viscosity solution of a second-order Hamilton–Jacobi–Bellman (HJB) equation for which no closed-form solution can be given. We construct a numerical approximation allowing us to use continuous input data. Numerical results for a portfolio consisting of three conventional units and wind power are provided. |
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| Bibliografie: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 2190-5983 2190-5983 |
| DOI: | 10.1186/s13362-020-0071-x |