The resource adequacy of the interconnected Central Western Europe (CWE) electricity system is assessed considering the cross-border exchange capacities defined through the Flow-Based (FB) domains. Integration of FB domains into adequacy assessments poses several challenges since the FB domains depend on factors which are not known over the horizon of adequacy study. Computing hourly FB domains for each generated scenario of adequacy study, firstly, requires adopting assumptions on those unknown parameters (that may not fully match with the reality). Secondly, it noticeably increases the computational complexity of the study. The above challenges can, however, be circumvented by the data-driven alternatives. This paper presents a novel clustering technique for FB domains, which is specifically tailored for adequacy assessments. In contrast to the classical approach employed by the CWE Transmission System Operators (TSOs), which clusters the FB domains based on their overall geometrical resemblance, the proposed technique relies on the maximum and minimum zonal balances allowed by the FB domains, which are decisive factors in the CWE resource adequacy assessments. Indeed, during scarcity moments, the zonal net positions (balances) tend to reach their extreme values to reduce the costs of energy not served. The proposed goal-oriented clustering technique is examined against the classical clustering methodology employed by the CWE TSOs. The conducted simulations demonstrate that the proposed technique considerably (by a factor of over 5.5) improves the accuracy of the CWE adequacy assessments while being scalable with the future evolution of the Flow-based Market Coupling (FBMC). As such, it has direct implications for the adequacy assessment considering the FB domains.

考虑到通过基于流量的 (FB) 域定义的跨境交换能力，评估互连的中西欧 (CWE) 电力系统的资源充足性。将 FB 域整合到充分性评估中会带来一些挑战，因为 FB 域取决于在充分性研究范围内未知的因素。为每个生成的充分性研究场景计算每小时 FB 域，首先，需要对那些未知参数（可能与现实不完全匹配）采用假设。其次，它显着增加了研究的计算复杂性。然而，上述挑战可以通过数据驱动的替代方案来规避。本文提出了一种新的 FB 域聚类技术，该技术专为充分性评估量身定制。与 CWE 传输系统运营商 (TSO) 使用的经典方法相比，该方法基于整体几何相似性对 FB 域进行聚类，所提出的技术依赖于 FB 域允许的最大和最小区域平衡，这是决定性因素在 CWE 资源充足性评估中。事实上，在稀缺时刻，区域净头寸（余额）往往会达到它们的极值，以降低未提供能源的成本。针对 CWE TSO 采用的经典聚类方法，对所提出的面向目标的聚类技术进行了检查。进行的模拟表明，所提出的技术相当（超过 5 倍）。5) 提高了 CWE 充分性评估的准确性，同时可随着基于流量的市场耦合 (FBMC) 的未来发展而扩展。因此，它对考虑 FB 域的充分性评估有直接影响。