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
Hlavní autoři: Glas, Silke, Kiesel, Rüdiger, Kolkmann, Sven, Kremer, Marcel, Graf von Luckner, Nikolaus, Ostmeier, Lars, Urban, Karsten, Weber, Christoph
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 04.02.2020
Springer Nature B.V
SpringerOpen
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ISSN:2190-5983, 2190-5983
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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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ISSN:2190-5983
2190-5983
DOI:10.1186/s13362-020-0071-x