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Distributed State Estimation

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Monitoring, Control and Protection of Interconnected Power Systems

Part of the book series: Power Systems ((POWSYS))

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Abstract

The previous chapter focused on Wide Area Measurement Systems, that are typically used to oscillations within the transmission systems by comparing time synchronized measurements of different locations. By contrast, this and the following two chapters focus on the use of modern monitoring technologies (compare Chap. 4) for static observation of large scale transmission systems with State Estimation (SE) tools. SE was firstly introduced in the 1970s to improve monitoring of Electric Power Systems (EPS). SE is an important procedure that allows for on-line calculation of state variables for a current situation of the EPS on the basis of measured state variables and signals about the switching state of power system equipment. The obtained SE model of the power system is then used in control centers for observation and control of the EPS.

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Author information

Authors and Affiliations

  1. Energy Systems Institute, Siberian Branch of Russian Academy of Sciences (ESI SB RAS), Irkutsk, Russia

    Irina Kolosok & Elena Korkina

  2. VEI, Moscow, Russia

    Oleg Soukhanov

Authors
  1. Irina Kolosok
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  2. Elena Korkina
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  3. Oleg Soukhanov
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Corresponding author

Correspondence to Irina Kolosok .

Editor information

Editors and Affiliations

  1. Institute of Energy Systems, Energy Efficiency and Energy Economics f+e-Building, Room 2.12, TU Dortmund University, Dortmund, Nordrhein-Westfalen, Germany

    Ulf Häger

  2. Institute of Energy Systems, Energy Efficiency and Energy Economics, TU Dortmund University, Dortmund, Nordrhein-Westfalen, Germany

    Christian Rehtanz

  3. Energy Systems Institute, Irkutsk, Russia

    Nikolai Voropai

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Kolosok, I., Korkina, E., Soukhanov, O. (2014). Distributed State Estimation . In: Häger, U., Rehtanz, C., Voropai, N. (eds) Monitoring, Control and Protection of Interconnected Power Systems. Power Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53848-3_6

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  • DOI: https://doi.org/10.1007/978-3-642-53848-3_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53847-6

  • Online ISBN: 978-3-642-53848-3

  • eBook Packages: EnergyEnergy (R0)

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