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Computational Intelligence Applications to Crisis Management in Power Systems

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Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 (IntelliSys 2016)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 15))

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Abstract

In emergency and abnormal conditions, a power system operator has to deal with a large amount of data and apply most appropriate remedial actions. However, due to emotional and psychological stress, an operator may not be able to adequately respond to critical conditions and make correct decisions. Mistakes can damage very expensive power system equipment or worse lead to major emergencies and catastrophic situations. Intelligent systems can play an advisory role suggesting the necessary actions, which should be taken to deal with a given emergency or abnormal condition as well as identifying failures of protection systems and circuit breakers. This paper outlines some experience obtained at the School of Engineering of the University of Tasmania in developing intelligent systems for power systems security. An expert system for clearing overloads applies the network sensitivity factors to determine appropriate actions, which include generation rescheduling, network reconfiguration and load shedding. An expert system for voltage control is developed and used for detecting voltage violations and providing a set of effective control actions to solve voltage problems in real-time. An artificial neural network is used to identify multiple failures of protection relays and circuit breakers. This system uses information received from protection systems in the form of alarms and is able to deal with incomplete and distorted data.

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Authors and Affiliations

  1. Centre for Renewable Energy and Power Systems, University of Tasmania, Private Bag 65, Hobart, Australia

    Michael Negnevitsky

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  1. Michael Negnevitsky
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Correspondence to Michael Negnevitsky .

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Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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Negnevitsky, M. (2018). Computational Intelligence Applications to Crisis Management in Power Systems. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-56994-9_34

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  • DOI: https://doi.org/10.1007/978-3-319-56994-9_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56993-2

  • Online ISBN: 978-3-319-56994-9

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