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Your search keyword '"Vanfretti, Luigi"' showing total 8 results
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8 results on '"Vanfretti, Luigi"'

1. Variational Mode Decomposition as Trusted Data Augmentation in ML-based Power System Stability Assessment

Author

Bogodorova, Tetiana, Osipov, Denis, and Vanfretti, Luigi

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

Balanced data is required for deep neural networks (DNNs) when learning to perform power system stability assessment. However, power system measurement data contains relatively few events from where power system dynamics can be learnt. To mitigate this imbalance, we propose a novel data augmentation strategy preserving the dynamic characteristics to be learnt. The augmentation is performed using Variational Mode Decomposition. The detrended and the augmented data are tested for distributions similarity using Kernel Maximum Mean Discrepancy test. In addition, the effectiveness of the augmentation methodology is validated via training an Encoder DNN utilizing original data, testing using the augmented data, and evaluating the Encoder's performance employing several metrics., Comment: To be presented in SYSID 2024

Published
2024

2. S3DK: An Open Source Toolkit for Prototyping Synchrophasor Applications

Author

Baudette, Maxime, Vanfretti, Luigi, and Tyagi, Shashank

Subjects
Engineering, Electronics, Sensors and Digital Hardware, Affordable and Clean Energy, power systems, PMU, synchrophasor, WAMS, open source
Abstract

Synchrophasor data contain a trove of information on the power system and its dynamics. These measurements have a high potential to unlock our ability to cope with changing system conditions and challenges posed by distributed and intermittent energy sources. While Phasor Measurement Units (PMUs) have seen a large deployment in the grid, their applications are limited by the software platforms that are deployed in control centers to monitor the grid. In this paper, we present an open source toolkit that enables fast prototyping of PMU applications. The toolkit is akin to a software development kit (SDK) for synchrophasor applications, providing a number of functionalities that enable high-level PMU application development within the LabVIEW environment. This Smart-grid Synchrophasor SDK (S3DK) proposes a paradigm based on the concept of distributed applications, which allows development and deployment to be independent of the existing software stack deployed in control centers and to leverage PMU data at any level of a synchrophasor system hierarchy. This paper serves to introduce the S3DK, which is released as open source software to facilitate broader and fast prototyping of synchrophasor applications.

Published
2024

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