A comprehensive common-sense-based architecture for understanding voltage-sag events in electrical grids

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

MariaJose.Santofimia@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

Xavier.delToro@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

felix.villanueva@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

David.Villa@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

Soledad.Escolar@uclm.es

Computer Architecture and Networks Group, University of Castilla-La Mancha, Ciudad Real, Spain

JuanCarlos.Lopez@uclm.es

  • JOURNAL —  Integrated Computer-Aided Engineering

  • PAGES — 397-416

  • ISSN — 1069-2509

  • VOLUME — 25

  • ISSUE — 4

  • PUBLISHER  IOS PRESS

  • YEAR  2018

  • DOI  10.3233/ICA-180576

Santofimia, M. J., del Toro Garcia, X., Villanueva, F. J., Villa, D., Escolar, S., & Lopez, J. C. (2018). A comprehensive common-sense-based architecture for understanding voltage-sag events in electrical gridsIntegrated Computer-Aided Engineering, (Preprint), 1-20.

@article{santofimia2018comprehensive,
title={A comprehensive common-sense-based architecture for understanding voltage-sag events in electrical grids},
author={Santofimia, Maria J and del Toro Garcia, Xavier and Villanueva, Felix J and Villa, David and Escolar, Soledad and Lopez, Juan C},
journal={Integrated Computer-Aided Engineering},
number={Preprint},
pages={1--20},
year={2018},
publisher={IOS Press}
}

Abstract

This research is intended to evaluate the suitability of a common-sense-based approach for providing causal explanations to power quality disturbances and, more specifically, to voltage-sage events, with the aim of improving the security and reliability of the electrical grid. Since voltage sags are one of the most common power-quality disturbance and may have a severe impact on sensitive loads and users, the case study presented is dedicated to find their causes as a prerequisite to prevent them. The main contribution presented in this work is in the knowledge management domain. However, the proposed architecture adopts a multi-layer approach that comprehensively faces all the necessary stages, comprising: measurement and data collection, filtering, distribution, homogenization, and integration up to the process of inference of the possible cause of the event. The architecture of the proposed system comprises three layers, namely: the information gathering, the information modeling and the information understanding layers. The proposed system has been evaluated using a synthetic dataset of simulated voltages sags. Information about weather conditions and different location features and environmental circumstances is aggregated to the electrical features of the voltage sag, in order to improve the inference of the external cause of the event. Even though a real-world dataset would be required to fully validate the proposed system and assess the benefits in a real scenario, the results obtained with the synthetic dataset are satisfactory and an overall accuracy above 90% of the cause identification is achieved.

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2019-01-17T11:48:26+00:00