Optimal participation of wind power producers in a hybrid intraday market: A multi-stage stochastic approach

IF 14.2 2区 经济学 Q1 ECONOMICS Energy Economics Pub Date : 2025-04-01 Epub Date: 2025-02-25 DOI:10.1016/j.eneco.2025.108303
Miguel Carrión , Ruth Domínguez , Giorgia Oggioni
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Abstract

The Single Intraday Coupling has imposed the integration of the European intraday electricity markets, taking as a benchmark the continuous trading structure. This has implied the creation of hybrid intraday electricity markets, defined as a mix of continuous and auction-based trading sessions, in those European countries with a former full auction system for this market. In this context, this paper proposes a multi-stage stochastic programming model for deciding the optimal participation of a wind power producer in a hybrid intraday market. This decision is made considering the possibility of participating in subsequent trading sessions, represented by a first continuous-intraday session, followed by an auction-based session and, then, a second section of the continuous intraday. As a final step, in the balancing market, the wind power producer can adjust its energy balance according to the wind power availability. The wind power availability, the prices in the intraday auction session and in the balancing market, and the acceptability of orders in the continuous sessions have been modelled as stochastic parameters. The risk level of the wind producer is represented in the formulation through the CVaR. By doing a deep study of the Spanish intraday market outcomes, we design a realistic case study and conduct several sensitivity analyses regarding the wind power availability, the prices in the market, the possibility of or not of participating in subsequent trading sessions, and the risk level. The main conclusions are: (i) arbitrage is observed in the participation of the wind power producer in the continuous and auction-based intraday sessions, especially under a risk-neutral perspective, (ii) the participation in the intraday continuous session is strongly influenced by the possibility of participating afterwards in the auction session, and (iii) the bidding strategy of a risk-averse wind power producer is mainly linked to the available wind power.
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风电生产商在混合日内市场中的最优参与:一个多阶段随机方法
单一日内耦合以连续交易结构为基准,对欧洲日内电力市场进行了整合。这意味着,在那些欧洲国家,电力市场将建立一个混合的日内电力市场,定义为连续交易和拍卖交易的混合体。在此背景下,本文提出了一个多阶段随机规划模型来确定风力发电商在混合日内市场中的最优参与。这个决定是考虑到参与后续交易的可能性,以第一个连续日内交易为代表,然后是一个基于拍卖的交易,然后是连续日内的第二部分。作为最后一步,在平衡市场中,风电生产者可以根据风电的可用性调整其能量平衡。风力发电的可用性、日内拍卖时段和平衡市场的价格以及连续时段的订单可接受性被建模为随机参数。通过CVaR在公式中表示风力发电商的风险水平。通过对西班牙当日市场结果的深入研究,我们设计了一个现实的案例研究,并对风电的可用性、市场价格、参与或不参与后续交易的可能性以及风险水平进行了几次敏感性分析。主要结论是:(1)风电生产商在连续和以拍卖为基础的盘中交易中存在套利行为,尤其是在风险中性的情况下;(2)风电生产商在盘中连续交易中的参与受到随后参与拍卖的可能性的强烈影响;(3)风险厌恶型风电生产商的投标策略主要与可用风电有关。
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来源期刊
Energy Economics
Energy Economics ECONOMICS-
CiteScore
18.60
自引率
12.50%
发文量
524
期刊介绍: Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.
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