%0 Electronic Article
%A Jianlin Yang
%A Yuan Ji
%A Mingxing Guo
%A Weidong Qiao
%A Fei Fei
%A Mengyao Zhang
%K current-limiting performance
%K urban power grid expansion
%K quantum genetic algorithm-based solving method
%K multiobjective model
%K short-circuit current limiting measure configuration optimisation
%K economic costs
%K power grid scale reduction
%K short-circuit current limitation
%X With the expansion of urban power grid, short-circuit current issue becomes more important. This study proposes an effective approach to optimise short-circuit current limiting measure configuration. Before applying short-circuit current limiting measures, the Ward equivalence is utilised to reduce power grid's scale so as to reduce the computational work in short-circuit current limiting measure configuration optimisation. In order to balance the current-limiting performance and the economic costs of short-circuit current limiting measures, a multi-objective model for optimising short-circuit current limiting measure configuration is proposed. A quantum genetic algorithm-based solving method for the optimisation model is proposed. Finally, the proposed approach is verified by the simulations on an actual power grid.
%T Research on the optimisation strategy of short-circuit current limitation based on quantum genetic algorithm
%B The Journal of Engineering
%D November 2018
%I Institution of Engineering and Technology
%U https://digital-library.theiet.org/;jsessionid=3i5ubditlf0bi.x-iet-live-01content/journals/10.1049/joe.2018.8785
%G EN