The invention discloses a power distribution network dynamic reactive
power optimization method based on a variable step size beetle antennae
search algorithm. The method comprises the steps: buildinga dynamic reactive
power optimization mathematic model of a power distribution network through employing the minimum network loss and the minimum
capacitor switching cost as target functions; acquiring node data of the power distribution network
system; initializing the position x0 of a
longhorn beetle within a constraint range, and setting a variable step
size parameter eta, the maximum number of iterations N and the action cost of a compensation device; randomizing the directions of the left and right beards of the
longhorn beetle to establish the positions xl and xr of the left and right beards of the
longhorn beetle; adjusting a
control variable, and correcting a boundary-crossing
state variable; calculating the
odor intensity of the longhorn beetle beards; carrying out variable stepsize adjustment; and if the beetle antennae
search algorithm reaches the maximum number N of iterations, stopping iteration, and outputting the final optimal reactive
power compensation amount xopt and the optimal value fopt. The optimization precision of an original beetle antennae
search algorithm is effectively improved, and compared with a traditional intelligent
algorithm, the variable step size beetle antennae search
algorithm is small in calculated amount and simple in process, and is suitable for real-time adjustment in the operation process of a power distribution network.