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  • 1.
    Hooshyar, Hossein
    et al.
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    Baran, M. E.
    North Carolina State University, Raleigh.
    Fault analysis on distribution feeders with high penetration of PV systems2013In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 28, no 3, p. 2890-2896Article in journal (Refereed)
    Abstract [en]

    Fault current profile on a PV dominated distribution feeder is rather different than a conventional feeder. To estimate the fault current profile on such a feeder, the paper proposes a new method which extends the capability of conventional short-circuit analysis method. The paper also shows that this time varying fault current profile makes it also more difficult to estimate the time it will take for an overcurrent relay/device to interrupt such a fault current. The paper proposes a method for estimation of this operating time also. Performance of the proposed methods has been assessed by simulations on a sample distribution feeder.

  • 2.
    Olguin, G
    et al.
    Department of Electric Power Engineering, Chalmers University of Technology.
    Vuinovich, F
    Department of Electrical Engineering, University Palermo.
    Bollen, Math
    Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.
    An optimal monitoring program for obtaining voltage sag indices2006In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 21, no 1, p. 378-384Article in journal (Refereed)
    Abstract [en]

    This paper presents a meter placement method for voltage sags monitoring in large transmission systems. An integer programming-based modeling is proposed for choosing the locations of power quality meters. A branch-and-bound-type algorithm is used to solve the optimization problem. A large transmission network is used to validate the method. Stochastic assessment of voltage sags is applied to the test network to obtain simulated monitoring results. Voltage sags system indexes are calculated from monitoring programs designed according to the optimization method. Comparisons with the system indexes obtained from a full monitoring program show the applicability of the method.

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