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引用次数: 1

摘要

有意控制孤岛(ICI)是电力系统为防止形成负荷发电不平衡的不稳定孤岛而必须采取的最后一项保护措施。如果传统的保护方案不能使电力系统免受大面积停电的影响,则选择一些切断装置在给必要负荷供电的同时保持系统运行。本文研究了分区数量对控制孤岛动态性能的影响,提出了一种统一的算法来识别在线应用中的相干发生器、最优割集和孤岛时间。该算法提供了一个孤岛方案,当每个孤岛包含连贯的发电机群时,潮流中断最小。利用发电机转动惯量中心(COI)参考角的概念来确定孤岛的临界时刻。在PowerFactory中模拟了ne39总线和ieee118总线测试系统中导致电力系统不稳定的不同场景,并采用不同分区数的可控孤岛方案创建稳定的孤岛。为了更好地说明现有聚类技术的缺点,讨论了所需岛屿数量对受控岛屿暂态稳定性的影响以及设计一种自动识别岛屿数量的方法的必要性。
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The Impact of Number of Partitions on Transient Stability of Intentional Controlled Islanding
Intentional Controlled Islanding (ICI) is the last protective measure that must be adopted in power systems to prevent forming unstable islands with load-generation imbalance power. If conventional protective schemes fail to save the power system against wide-area blackout, some cutsets are selected to keep the system operating while feeding essential loads. This paper investigates the effect of the number of partitions on the dynamic performance of controlled islanding and proposes a unified algorithm to identify the coherent generators, optimal cutsets, and timing of islanding in online applications. The algorithm provides an islanding solution with minimum power flow disruption while each island contains coherent groups of generators. The concept of Centre of Inertia (COI) referred angles of generators has been used to determine the critical timing of islanding. Different scenarios in NE 39-bus and IEEE 118-bus test systems were simulated in PowerFactory that led to instability in the power system, and then controlled islanding schemes with a different number of partitions were applied to create stable islands. To better demonstrate the shortcomings of the existing clustering techniques, the effect of the number of required islands on transient stability of controlled islanding and the necessity of devising an automatic method to recognise the number of islands is discussed.
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