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Diagnosis of Power System Protection

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Advances in Applied Artificial Intelligence (IEA/AIE 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4031))

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Abstract

Power systems are naturally exposed to several fault conditions, namely short-circuits. Automatic protection and control systems are responsible for selective tripping of faulted devices and their subsequent reconnection.

An application to automatically diagnosing abnormal conditions in power distribution network substations is described in this work. It is based on a model of the power network and the associated protection and control system. Its main purpose is to assist in the analysis of protection device records, explain the observed operations and detect possible misbehavior. This application is specified and implemented using a combination of Logic Programming tools and techniques, in particular non-monotonic reasoning. The model is structured in several abstraction levels and a set of strategies and preferences is used to guide the diagnosis process.

The developed application was tested with several substation configurations, including sequences of events recorded at real installations.

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Author information

Authors and Affiliations

  1. EFACEC Sistemas de Electrónica S.A., Carnaxide, Portugal

    Rui D. Jorge

  2. Centria, Universidade Nova de Lisboa, Portugal

    Carlos V. Damásio

Authors
  1. Rui D. Jorge
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  2. Carlos V. Damásio
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, 78666-4616, San Marcos, TX, USA

    Moonis Ali

  2. ESIA Laboratoire d’Informatique, Sytèmes, Traitement de l’Information et de la Connaissance, Université de Savoie, B.P. 806, F-74016, ANNECY Cedex, France

    Richard Dapoigny

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© 2006 Springer-Verlag Berlin Heidelberg

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Jorge, R.D., Damásio, C.V. (2006). Diagnosis of Power System Protection. In: Ali, M., Dapoigny, R. (eds) Advances in Applied Artificial Intelligence. IEA/AIE 2006. Lecture Notes in Computer Science(), vol 4031. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11779568_70

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  • DOI: https://doi.org/10.1007/11779568_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35453-6

  • Online ISBN: 978-3-540-35454-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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