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A sparse eigenvalue-based approach for partitioning power networks

机译:基于稀疏特征值的电网划分方法

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The authors propose a network partitioning algorithm based on the electrical distances among the buses of a system, using a sparse eigenvalue-based approach. The technique clusters interdependent buses together while weakly connected buses are placed in different clusters. The partitioning technique is independent of the system's operating condition. Small- and medium-sized power systems have been partitioned employing the proposed technique. An example of an application is demonstrated using a corrective control program for alleviating thermal overloads, and comparing the results of the partitioned networks with those obtained with a full network model.
机译:作者提出了一种基于稀疏特征值的,基于系统总线间电气距离的网络划分算法。该技术将相互依存的总线群集在一起,而弱连接的总线则放置在不同的群集中。分区技术与系统的运行状况无关。中小型电力系统已采用建议的技术进行了划分。使用纠正性控制程序缓解热过载,并将分区网络的结果与通过完整网络模型获得的结果进行比较,演示了一个应用示例。

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