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首页> 外文期刊>Iranian Journal of Science and Technology, Transactions of Electrical Engineering >Identification of Critical Elements in Interconnected Power Networks
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Identification of Critical Elements in Interconnected Power Networks

机译:识别互联电网中的关键要素

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Modern power systems are structurally complex, consisting of elements such as buses, transformers and transmission lines, which are interconnected and liable to failures that could result in total system blackout. Early detection and quick identification of the elements that are critical to the security and reliability of such interconnected power networks is essential for smart grid applications. This paper proposes a Coupling Strength Matrix (CSM) method, which is based on Network Structural Characteristics Theory and the Relative Electrical Distance (RED) between nodes in the network. Two indices, Bus Coupling Strength (BCS) and Line Coupling Strength (LCS), are proposed in identifying the critical transmission lines and weak nodes within a power network. The proposed method is demonstrated on the standard IEEE 30-bus system and 32-bus Nigerian network. The results obtained compare well with that obtained using conventional closeness centrality-based method. This new approach could be useful in quick identification of weak nodes and critical lines that could result in voltage collapse or island formation during critical outages, with less computational burden.
机译:现代电力系统结构复杂,由诸如总线,变压器和传输线之类的元素组成,这些元素相互连接并且容易发生故障,从而可能导致整个系统停电。对智能电网应用而言,及早发现和快速识别对此类互连电源网络的安全性和可靠性至关重要的元素是至关重要的。本文提出了一种基于网络结构特征理论和网络节点之间的相对电气距离(RED)的耦合强度矩阵(CSM)方法。提出了两个指标,即总线耦合强度(BCS)和线路耦合强度(LCS),以识别电网中的关键传输线和弱节点。在标准的IEEE 30总线系统和32总线尼日利亚网络上演示了该方法。获得的结果与使用传统的基于紧密度中心性的方法获得的结果相比较。这种新方法可能有助于快速识别弱节点和关键线路,这些节点和关键线路可能会在关键中断期间导致电压崩溃或形成岛状结构,从而减轻计算负担。

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