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Designing day-ahead multi-carrier markets for flexibility: Models and clearing algorithms

机译:设计日期的多载体市场进行灵活性:模型和清算算法

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摘要

There is an intrinsic value in higher integration of multi-carrier energy systems (especially gas and electricity), to increase operational flexibility in the electricity system and to improve allocation of resources in gas and electricity networks. The integration of different energy carrier markets is challenging due to the existence of physical and economic dependencies between the different energy carriers. We propose in this paper an integrated day-ahead multi-carrier gas, electricity and heat market clearing which includes new types of orders and constraints on these orders to represent techno-economic constraints of con-version and storage technologies. We prove that the proposed market clearing gives rise to competitive equilibria. In addition, we propose two decentralised clearing algorithms which differ in how the decomposition of the underlying centralised clearing optimisation problem is performed. This has implications in terms of the involved agents and their mutual information exchange. It is proven that they yield solutions equivalent to the centralised market clearing under a mild assumption of sufficient number of iterations. We argue that such an integrated multi-carrier energy market mitigates (spot) market risks faced by market participants and enables better spot pricing of the different energy carriers. The results show that conversion/storage technology owners would suffer from losses and/or opportunity costs, if they were obliged to only use elementary orders. For the test cases considered in this article, sum of losses and opportunity costs could reach up to 13,000 (sic)/day and 9,000 (sic)/day respectively, compared with the case where conversion and storage orders are used.
机译:多载体能量系统(尤其是气体和电力)的更高集成具有内在价值,以提高电力系统的运行灵活性,并改善天然气和电网中资源的分配。由于不同能量载体之间的物理和经济依赖性存在,不同能量承运人市场的整合是挑战性的。我们提出了本文的综合日期多载气,电力和热市场清算,包括新类型的订单和限制这些订单,以代表Con-Version和Storage Technologies的技术经济限制。我们证明,拟议的市场清算产生了竞争性均衡。此外,我们提出了两个分散的清算算法,这些算法在执行潜在的集中式优化问题的分解方面不同。这对所涉及的代理商及其互信息交换有影响。据证明,它们会产生相当于集中式市场清除的解决方案,在轻微的足够数量的迭代中。我们认为,市场参与者面临的综合多载能源市场减灾(现货)市场风险,并实现了不同能源载体的更好的现场定价。结果表明,如果他们有义务仅使用基本订单,转换/储存技术所有者将遭受损失和/或机会成本。对于本文中考虑的测试用例,与使用转换和储存订单的情况相比,分别达到13,000(SIC)/日和9,000(SIC)/日的损失和9,000(SIC)/日。

著录项

  • 来源
    《Applied Energy》 |2021年第1期|116390.1-116390.18|共18页
  • 作者单位

    VITO Boeretang 200 B-2400 Mol Belgium|EnergyVille ThorPk 8310 B-3600 Genk Belgium|Wageningen Univ & Res ETE Bornse Weilanden 9 NL-6700 AA Wageningen Netherlands;

    N SIDE Blvd Baudouin 1er 25 B-1348 Louvain La Neuve Belgium;

    N SIDE Blvd Baudouin 1er 25 B-1348 Louvain La Neuve Belgium;

    VITO Boeretang 200 B-2400 Mol Belgium|EnergyVille ThorPk 8310 B-3600 Genk Belgium;

    VITO Boeretang 200 B-2400 Mol Belgium|EnergyVille ThorPk 8310 B-3600 Genk Belgium;

    VITO Boeretang 200 B-2400 Mol Belgium|EnergyVille ThorPk 8310 B-3600 Genk Belgium;

    VITO Boeretang 200 B-2400 Mol Belgium|EnergyVille ThorPk 8310 B-3600 Genk Belgium;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Multi-carrier energy markets; Order types; Decomposition; Forecast uncertainty; Social welfare optimisation;

    机译:多载波能量市场;订单类型;分解;预测不确定性;社会福利优化;
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