Quantum Genetic Algorithm-based Threshold Optimization Method for Protective Relays
Currently applied methods of optimizing threshold values of protective relays are inadequate in convergence and sensitivity.In view of this,the present work studied a quantum genetic algorithm-based method for threshold value opti-mization.It established an optimization objective function on minimizing the action time of relay,and exerted constraint on the convergence,selectivity,and sensitivity of protection by establishing constraining rules such as differential constraints and sensitivity constraints.Moreover,it adopted quantum genetic algorithm to obtain the optimal solution of the objective function that meets the constraints,and determined optimized threshold value of relays.In verification experiment the pro-posed method achieved satisfactory convergence speed and sensitivity.
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