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arXiv 2406.04889math.OC
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确保顺序DSO-TSO市场中分布式灵活性转发的电网安全性

Ensuring Grid-Safe Forwarding of Distributed Flexibility in Sequential DSO-TSO Markets

Wicak Ananduta, Anibal Sanjab, Luciana Marques

AI总结:

本文针对顺序DSO-TSO市场中投标转发导致的配电网不可行性问题,提出并检验了三种方法(修正性三层市场、投标预认证/过滤、投标聚合),并给出其电网安全使用的条件及效率表征,通过案例研究评估了性能。

摘要:

本文研究了顺序灵活性市场,该市场由第一层市场组成,配电系统运营商(DSO)在此采购本地灵活性以解决自身需求(例如拥堵管理),随后是第二层市场,输电系统运营商(TSO)在此采购从配电系统层转发的剩余灵活性以及来自其自身系统的灵活性,以提供系统服务。由于TSO不一定完全了解配电网约束,这种投标转发可能导致配电系统的不可行性问题,即TSO层中已清算的配电级投标可能不满足本地网络约束。为应对这一挑战,我们引入并检验了三种旨在实现系统服务市场中配电侧资源电网安全使用的方法,即:修正性三层市场方案、投标预认证/过滤方法和投标聚合方法。在技术上,我们提供了这些方法能够产生分布式灵活性电网安全使用的条件。我们还表征了这些方法下市场结果的效率。最后,我们进行了一项代表性案例研究,以评估这三种方法的性能,重点关注经济效率、电网安全性和计算负荷。

英文摘要:

This paper investigates sequential flexibility markets consisting of a first market layer for distribution system operators (DSOs) to procure local flexibility to resolve their own needs (e.g., congestion management) followed by a second layer, in which the transmission system operator (TSO) procures remaining flexibility forwarded from the distribution system layer as well as flexibility from its own system for providing system services. As the TSO does not necessarily have full knowledge of the distribution grid constraints, this bid forwarding can cause an infeasibility problem for distribution systems, i.e., cleared distribution-level bids in the TSO layer might not satisfy local network constraints. To address this challenge, we introduce and examine three methods aiming to enable the grid-safe use of distribution-located resources in markets for system services, namely: a corrective three-layer market scheme, a bid prequalification/filtering method, and a bid aggregation method. Technically, we provide conditions under which these methods can produce a grid-safe use of distributed flexibility. We also characterize the efficiency of the market outcome under these methods. Finally, we carry out a representative case study to evaluate the performances of the three methods, focusing on economic efficiency, grid-safety, and computational load.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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