Research on the optimisation strategy of short‐circuit current limitation based on quantum genetic algorithm

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.