Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-15700
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Main Title: Intraday imbalance optimization: incentives and impact of strategic intraday bidding behavior
Author(s): Koch, Christopher
Type: Article
URI: https://depositonce.tu-berlin.de/handle/11303/16921
http://dx.doi.org/10.14279/depositonce-15700
License: https://creativecommons.org/licenses/by/4.0/
Abstract: Intraday markets are crucial to balance supply and demand in the very short-term, up to delivery. They are often designed as continuous auctions with a pay-as-bid pricing mechanism. While several studies assess trading strategies to balance different types of portfolios, they normally do not consider the incentives of the imbalance prices for portfolio management. This paper analyzes a strategy of taking positions in the German intraday market based on expected imbalance prices and examines its impact on system stability. Using a logistic regression model, it is possible to accurately predict the direction of the overall system balance and to apply a profitable trading strategy. For a period from 01/07/2017 to 30/06/2019, the strategy outperforms a simple approach by EUR 47 000 per MW. However, this behavior would predominantly not have been system supportive due to biased imbalance price incentives. These are asymmetric price spreads and insufficiently low imbalance prices compared to intraday prices. An efficient intraday price constraint would partly solve the problem. The overall share of system supportive imbalance positions would raise by ten percentage points. In situations with high system wide imbalances, up to three-quarters of the positions would stabilize the system. These findings are important for regulation in Germany and other countries with a single imbalance pricing as they provide an indication for crucial points of the imbalance pricing rules to incite appropriate market behavior.
Subject(s): electricity market design
intraday market
balancing mechanism
electricity portfolio management
strategic behavior
Issue Date: 10-May-2021
Date Available: 11-May-2022
Language Code: en
DDC Class: 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Sponsor/Funder: TU Berlin, Open-Access-Mittel – 2021
Journal Title: Energy Systems
Publisher: Springer Nature
Volume: 13
Publisher DOI: 10.1007/s12667-021-00445-9
Page Start: 409
Page End: 435
EISSN: 1868-3975
ISSN: 1868-3967
TU Affiliation(s): Fak. 3 Prozesswissenschaften » Inst. Energietechnik » FG Energiesysteme
Appears in Collections:Technische Universität Berlin » Publications

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