论文标题

为欧洲日前市场多种产品的聚合器提供最佳的策略

Optimal offering strategy for an aggregator across multiple products of European day-ahead market

论文作者

Kumar, Yogesh Pipada Sunil, Pourmousavi, S. Ali, Wagner, Markus, Liisberg, Jon A. R.

论文摘要

大多数围绕欧洲日间市场(DAM)聚合商最佳招标策略的文献仅考虑小时订单。虽然其他订单类型(例如,块订单)可以更好地代表某些灵活性来源的时间特征(例如,落后灵活性),但这些订单的组合增加使得很难开发可拖动的优化公式。因此,我们在本文中的目的是为考虑这些命令制定欧洲大坝(又称Elspot)灵活性聚合器的最佳提供策略。为此,我们采用了一种基于价格的机制来采购灵活性,并在市场上定期定期订单。我们开发了两个混合兼具双线性程序:1)验证的蛮力公式,以及基于逻辑约束的新型制定。为了评估这些配方的性能,我们提出了一个普通的柔韧性模型,用于集合的生产商群集,该模型考虑了生产者的响应能力,时空的依赖性以及季节性和昼夜变化。模拟结果表明,所提出的模型在计算速度方面显着优于蛮力模型。此外,我们观察到,使用块订单有可能获得聚合器的盈利能力。

Most literature surrounding optimal bidding strategies for aggregators in European day-ahead market (DAM) considers only hourly orders. While other order types (e.g., block orders) may better represent the temporal characteristics of certain sources of flexibility (e.g., behind-the-meter flexibility), the increased combinations from these orders make it hard to develop a tractable optimization formulation. Thus, our aim in this paper is to develop a tractable optimal offering strategy for flexibility aggregators in the European DAM (a.k.a. Elspot) considering these orders. Towards this, we employ a price-based mechanism of procuring flexibility and place hourly and regular block orders in the market. We develop two mixed-integer bi-linear programs: 1) a brute force formulation for validation and 2) a novel formulation based on logical constraints. To evaluate the performance of these formulations, we proposed a generic flexibility model for an aggregated cluster of prosumers that considers the prosumers' responsiveness, inter-temporal dependencies, and seasonal and diurnal variations. The simulation results show that the proposed model significantly outperforms the brute force model in terms of computation speed. Also, we observed that using block orders has potential for profitability of an aggregator.

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