The invention discloses a method for optimizing grid-related parameters for a power generator unit based on a double-stranded quantum genetic algorithm. The method comprises the following steps: selecting the grid-related parameters required for the optimization of the power generator unit in a power grid system; calculating constraint conditions of the grid-related parameters required for the optimization of the power generator unit and total objective functions with optimal transient stability; determining fitness functions of the grid-related parameters for the power generator unit; initializing a double-stranded quantum population; judging whether a current chromosome is mutant or not by utilizing the mutation probability and performing quantum bit non-gate mutation in case of mutation; converting the probability amplitude of each quantum bit of the current chromosome into a solution space, determining a value-substituted transient stability calculation program obtained by conversion into a total objective function value with optimal transient stability and performing fitness evaluation to determine individual fitness and store a global optimal solution; calculating a quantum rotation angle advance step length and updating a quantum gate to obtain a next generation of chromosome; by optimizing the grid-related parameters for the power generator unit, the transient stability of the system is improved, and the machine-grid coordination is realized.