Where to market flexibility? Integrating continuous intraday trading into multi-market participation of industrial multi-energy systems

IF 3.9 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Chemical Engineering Pub Date : 2025-02-06 DOI:10.1016/j.compchemeng.2025.109026
Niklas Nolzen , Alissa Ganter , Nils Baumgärtner , Florian Joseph Baader , Ludger Leenders , André Bardow
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Abstract

The rising share of volatile renewable electricity generation increases the demand for flexibility. Flexibility can be offered by industrial multi-energy systems and marketed either on the continuous intraday, day-ahead, or balancing-power markets. Thus, industrial multi-energy systems face the question where to market their flexibility. We propose a two-step method to integrate trading on the continuous intraday market into a multi-market optimization for flexible industrial multi-energy systems. First, we estimate revenues from continuous trading in the intraday market, employing option-price theory. Second, a multi-stage stochastic optimization allocates the flexibility to the three markets. The case study of an industrial multi-energy system demonstrates that coordinated bidding in all three markets reduces costs the most. A sensitivity analysis reveals that the optimal split between the different markets strongly depends on the intraday market volatility. Overall, the proposed method provides a practical decision-support tool for multi-energy systems participating in short-term electricity and balancing-power markets.
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向何处推销灵活性?将连续盘中交易整合到工业多能源系统的多市场参与中
不稳定的可再生能源发电份额的上升增加了对灵活性的需求。工业多能源系统可以提供灵活性,并在连续日内,前一天或平衡电力市场上销售。因此,工业多能源系统面临着向何处推销其灵活性的问题。我们提出了一种两步法,将连续盘中市场的交易整合到灵活的工业多能源系统的多市场优化中。首先,我们利用期权价格理论估计日内市场连续交易的收入。其次,采用多阶段随机优化方法对三个市场进行灵活性分配。以某工业多能源系统为例进行了研究,结果表明,三种市场的协同竞价能最大程度地降低成本。敏感度分析表明,不同市场之间的最优分割强烈依赖于日内市场波动。该方法为参与短期电力和平衡电力市场的多能系统提供了一种实用的决策支持工具。
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来源期刊
Computers & Chemical Engineering
Computers & Chemical Engineering 工程技术-工程:化工
CiteScore
8.70
自引率
14.00%
发文量
374
审稿时长
70 days
期刊介绍: Computers & Chemical Engineering is primarily a journal of record for new developments in the application of computing and systems technology to chemical engineering problems.
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