Jovica V. Milanovic

TL;DR: In this article, a two-stage methodology for online identification of power system dynamic signature using phasor measurement unit (PMU) measurements and data mining is proposed, which firstly applies hierarchical clustering to define patterns of unstable dynamic behavior of generators, and then applies different multiclass classification techniques, including decision tree, ensemble decision tree and multiclass support vector machine to identify characterized unstable responses.

TL;DR: In this paper, the sensitivity of ac coil contactors to voltage sags, short interruptions, and undervoltage transients was discussed on the basis of extensive test results.

TL;DR: In this paper, a generic probabilistic framework for assessing the accuracy of online prediction of power system transient stability based on phasor measurement unit (PMU) measurements and data mining techniques is presented.

TL;DR: In this paper, the grey-box approach was used for model development as it incorporates prior knowledge about the ADN structure into the model, making the model more physically relevant and intuitive than black-box or white-box models, and potentially improves the accuracy of the model.

TL;DR: In this paper, the authors investigated the influence of various model parameters and simplifications on DIF-based wind plant transient responses and compared the performance of different crowbar protection and rotor side converter restart schemes.