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  • 1.
    Grahn, Pontus
    et al.
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Briggner, Viktor
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Johansson, Linus
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Babazadeh, Davood
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Nordström, Lars
    KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
    Centralized Versus Distributed State Estimation for Hybrid AC/HVDC Grid2017In: IEEE International Conference on Innovative Smart Grid Technologies, (ISGT Europe 2017), IEEE conference proceedings, 2017, p. 2222-2227Conference paper (Refereed)
    Abstract [en]

    The need of transmission grid expansion has drawn the attention towards high voltage DC (HVDC) as a solution.This brings new challenges for power system control application such as state estimation that are originally designed for AC power system. This papers studies centralized and distributed architecturesfor hybrid AC/HVDC state estimator (SE). Furthermore, the benefit of having bad data detection (BDD) and deploying phasor measurement units (PMU) in the state estimation are investigated. The method used for the SE is the weighted least square (WLS) method. The SE will be developed based on the power grid model ’The CIGRE B4 DC Grid Test System’. Theresults of the tests show that the addition of BDD and PMU improved the error of the estimated values. Furthermore the distributed architecture offered slightly less accurate AC values than the centralized.

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