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Observer-based Anomaly Detection of Synchronous Generators for Power Systems Monitoring

Anagnostou, G; Boem, F; Kuenzel, S; Pal, BC; Parisini, T; (2017) Observer-based Anomaly Detection of Synchronous Generators for Power Systems Monitoring. IEEE Transactions on Power Systems 10.1109/TPWRS.2017.2771278. (In press). Green open access

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Abstract

This paper proposes a rigorous anomaly detection scheme, developed to spot power system operational changes which are inconsistent with the models used by operators. This novel technique relies on a state observer, with guaranteed estimation error convergence, suitable to be implemented in real time, and it has been developed to fully address this important issue in power systems. The proposed method is fitted to the highly nonlinear characteristics of the network, with the states of the nonlinear generator model being estimated by means of a linear time-varying estimation scheme. Given the reliance of the existing dynamic security assessment tools in industry on nominal power system models, the suggested methodology addresses cases when there is deviation from assumed system dynamics, enhancing operators' awareness of system operation. It is based on a decision scheme relying on analytical computation of thresholds, not involving empirical criteria which are likely to introduce inaccurate outcomes. Since false-alarms are guaranteed to be absent, the proposed technique turns out to be very useful for system monitoring and control. The effectiveness of the anomaly detection algorithm is shown through detailed realistic case studies in two power system models.

Type: Article
Title: Observer-based Anomaly Detection of Synchronous Generators for Power Systems Monitoring
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TPWRS.2017.2771278
Publisher version: http://dx.doi.org/10.1109/TPWRS.2017.2771278
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
Keywords: Fault detection, observers, power system dynamics, power system monitoring, synchronous generators
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10046402
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