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  • Application of hyper-spherical search algorithm for optimal coordination of overcurrent relays considering different relay characteristics

    Author(s)
    Ahmadi, SA
    Karami, H
    Sanjari, MJ
    Tarimoradi, H
    Gharehpetian, GB
    Griffith University Author(s)
    Sanjari, Mohammad
    Year published
    2016
    Metadata
    Show full item record
    Abstract
    Minimization of the discrimination time between the backup and main overcurrent relays is one of the most important issues in the relays coordination of a power system. Finding the Time Setting Multipliers (TSMs) by the evolutionary algorithm has been investigated in the previous papers. In this paper, in addition to TSM, different characteristics of the overcurrent relays are considered to improve coordination. On the other hand, the coordination problem can be considered as an optimization problem, which can be solved by artificial intelligent methods. Recently, a novel optimization algorithm, Hyper-Sphere Search (HSS) ...
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    Minimization of the discrimination time between the backup and main overcurrent relays is one of the most important issues in the relays coordination of a power system. Finding the Time Setting Multipliers (TSMs) by the evolutionary algorithm has been investigated in the previous papers. In this paper, in addition to TSM, different characteristics of the overcurrent relays are considered to improve coordination. On the other hand, the coordination problem can be considered as an optimization problem, which can be solved by artificial intelligent methods. Recently, a novel optimization algorithm, Hyper-Sphere Search (HSS) algorithm, has been introduced. The HSS algorithm is adapted to the problem of this paper, in order to select the characteristics of the overcurrent relays and their TSMs. The result of HSS is compared with the genetic algorithm which is used in the previous studies. The simulation results on the sample network show the effectiveness of HSS and relays characteristics in terms of better coordination.
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    Journal Title
    International Journal of Electrical Power & Energy Systems
    Volume
    83
    DOI
    https://doi.org/10.1016/j.ijepes.2016.04.042
    Subject
    Electrical engineering
    Science & Technology
    Technology
    Engineering, Electrical & Electronic
    Engineering
    Power system protection
    Publication URI
    http://hdl.handle.net/10072/409872
    Collection
    • Journal articles

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