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This paper proposes a probabilistic small signal stability assessment (PSSSA) methodology based on the application of Monte Carlo approach for iterative evaluation, via modal analysis of small signal stability (SSS). Operation states represented by random values of generation and demand are analyzed. A probabilistic instability risk index based on cumulative probability distribution function of damping...
This paper deals with new methods for bad data detection and restoration, which can help to improve modern state estimation. Special interest is focused on the detection of bad data and outliers in the measurements from the power system. The new artificial neural network based method involves both the time series of the measured data and their physical correlation. The neural network (NN) inputs are...
This paper presents a novel approach for the assessment of dynamic voltage stability. The power system dynamic voltage stability problem is modeled as a multi-input multi-output (MIMO) transfer function. By means of singular value analysis, interactions between properly defined input and output variables affecting dynamic voltage stability can be analyzed for different frequencies. The output singular...
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