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arXiv 2609.11400eess.SYcs.SY

量化非故意孤岛风险:主动配电网的比较研究

Quantifying the Unintentional Islanding Risk: A Comparative Study on Active Distribution Network

Harshit Nayak, Edoardo Daccò, Jose Luis Rueda Torres, Davide Falabretti

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中文总结 AI 辅助

本研究通过电磁暂态仿真比较了主动配电网中逆变器与同步发电机在不同调节模式下孤岛持续风险,发现固定功率设定值下孤岛短暂,而启用SG频率电压调节可无限期维持非故意孤岛。

中文摘要 AI 辅助

逆变器型资源(IBR)占比的不断增长正在改变现代主动配电网(ADN)的运行方式,引发了对电网稳定性、保护和可靠性的担忧。本文研究了中压(MV)部分ADN在从并网运行过渡到孤岛运行期间的动态行为。研究考虑了电网跟随(GFL)变换器和同步发电机(SG)在两种不同调节模式下的运行:一种代表当前配电网的固定设定值、非调节条件,另一种代表配备调速器和自动电压调节器(AVR)控制的SG的主动频率/电压调节条件。在DIgSILENT PowerFactory中开发了两种技术的详细电磁暂态(EMT)模型,量化了孤岛持续性对SG调节模式和惯性的敏感性。结果表明,当分布式能源(DER)以固定功率设定值运行时,形成持续、未被检测到的电气孤岛的风险有限,因为隔离网络在几十秒内会漂移出保护阈值。相反,在SG上启用频率和电压调节足以无限期维持非故意孤岛而不触发常规保护,无论系统惯性如何。

英文摘要

The growing share of Inverter-Based Resources (IBRs) is changing the operation of modern Active Distribution Networks (ADNs), raising concerns for grid stability, protection, and reliability. In this paper, we investigate the dynamic behavior of a Medium-Voltage (MV) portion of an ADN during the transition from grid-connected to islanded operation. The study considers a Grid-Following (GFL) converter and Synchronous Generators (SGs) operated under two distinct regulation modes: a fixed-setpoint, non-regulating condition representative of present-day distribution networks, and an active frequency/voltage-regulating condition representative of SGs equipped with governor and AVR control. Detailed electromagnetic transient (EMT) models of both technologies have been developed in DIgSILENT PowerFactory that quantifies the sensitivity of island persistence to SG regulation mode and inertia. The results show that when DERs operate at a fixed power setpoint, the risk of forming a sustained, undetected electrical island is limited, since the isolated network drifts out of the protection thresholds within tens of seconds. Conversely, enabling frequency and voltage regulation on the SGs is sufficient to sustain an unintentional island indefinitely without triggering conventional protection, regardless of system inertia.

发表机构

  • Delft University of Technology(代尔夫特理工大学)
  • Politecnico di Milano(米兰理工大学)

机构由 AI 辅助整理,请以论文原文为准。

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