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Contingency Selection Method for On-line Small Signal Stability Monitoring

机译:在线小信号稳定性监测的权变选择方法

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摘要

To make greater use of existing electric power transmission facilities, security assessment utilizing on-line data is thought to be one of the effective measures that can be taken. To realize on-line assessment of postfault small signal stability for a number of supposed contingencies, it is effective to identify severe contingencies to be analyzed with a precise assessment program, such as the S-method. We developed a contingency selection method that has two indices for selection. One of the indices is postfault eigenvalue estimation based on second-order approximation of the eigenvalue change in response to system matrix change, which is effective for relatively weak nonlinear eigenvalue change. The other one is the Nonlinearity index, which indicates the strength of nonlinearity eigenvalue change. It is effective in detecting strong nonlinear eigenvalue changes that cannot be estimated correctly by second-order approximation. Calculation results with IEEJ Bulk Power System Models show that the proposed method can effectively decrease the number of contingencies that must be analyzed by the precise Small Signal Analysis method.
机译:为了更多地利用现有的电力传输设施,利用在线数据的安全评估被认为是可以采取的有效措施之一。为了在许多假设的意外情况下实现故障后小信号稳定性的在线评估,有效地识别严重的意外情况,可以使用诸如S方法之类的精确评估程序进行分析。我们开发了一种有两种选择指标的意外选择方法。指标之一是基于响应于系统矩阵变化的特征值变化的二阶近似的故障后特征值估计,这对于较弱的非线性特征值变化是有效的。另一个是非线性指数,它表示非线性特征值变化的强度。它对于检测无法通过二阶近似正确估计的强烈非线性特征值变化非常有效。 IEEJ大型电力系统模型的计算结果表明,该方法可以有效地减少必须通过精确小信号分析方法进行分析的突发事件的数量。

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