Intelligent optimization method for power system stabilizer parameter

An intelligent optimizing method of power system stabilizer parameter in the field of power system stability control technology is provided, comprising: step one, encoding each parameter by using quantum bit angle limited in the first quadrant, forming the first group, and confirming the maximum iterative times; step two, generating random numbers between [0 to 90 degrees] aiming at each quantum bit angle in chromosome of the present group; processing collapsing operation to form binary serial according to the size relation of the random number identical quantum bit angle, converting the binary serial to the decimal power system stabilizer parameter; step three, calculating the adaptation value of the chromosome and recording the historical optimal binary solution and overall optimal binary solution of the chromosome; step four, using the particle-like group optimizing method to update the quantum gate; step five, if convergent or reaching the maximum iterative times, the calculation stops and the parameter is outputted; otherwise, returning to step two. This invention has faster convergent speed and greater optimizing result.