LAPSE:2023.21820
Published Article

LAPSE:2023.21820
Optimization of Electric Energy Sales Strategy Based on Probabilistic Forecasts
March 23, 2023
Abstract
In this paper we propose an optimization scheme for a selling strategy of an electricity producer who in advance decides on the share of electricity sold on the day-ahead market. The remaining part is sold on the complementary (intraday/balancing) market. To this end, we use probabilistic forecasts of the future selling price distribution. Next, we find an optimal share of electricity sold on the day-ahead market using one of the three objectives: maximization of the overall profit, minimization of the sellers risk, or maximization of the median of portfolio values. Using data from the Polish day-ahead and balancing markets, we show that the assumed objective is achieved, as compared to the naive strategy of selling the whole produced electricity only on the day-ahead market. However, an increase of the profit is associated with a significant increase of the risk.
In this paper we propose an optimization scheme for a selling strategy of an electricity producer who in advance decides on the share of electricity sold on the day-ahead market. The remaining part is sold on the complementary (intraday/balancing) market. To this end, we use probabilistic forecasts of the future selling price distribution. Next, we find an optimal share of electricity sold on the day-ahead market using one of the three objectives: maximization of the overall profit, minimization of the sellers risk, or maximization of the median of portfolio values. Using data from the Polish day-ahead and balancing markets, we show that the assumed objective is achieved, as compared to the naive strategy of selling the whole produced electricity only on the day-ahead market. However, an increase of the profit is associated with a significant increase of the risk.
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Keywords
electricity market, probabilistic forecast, quantile regression, strategy optimization, value at risk
Subject
Suggested Citation
Janczura J, Michalak A. Optimization of Electric Energy Sales Strategy Based on Probabilistic Forecasts. (2023). LAPSE:2023.21820
Author Affiliations
Janczura J: Faculty of Pure and Applied Mathematics, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland [ORCID]
Michalak A: Faculty of Pure and Applied Mathematics, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Michalak A: Faculty of Pure and Applied Mathematics, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Journal Name
Energies
Volume
13
Issue
5
Article Number
E1045
Year
2020
Publication Date
2020-02-26
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13051045, Publication Type: Journal Article
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LAPSE:2023.21820
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https://doi.org/10.3390/en13051045
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Mar 23, 2023
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