The invention discloses an active distribution network distributed type reactive power optimization method based on an auxiliary problem principle. The active distribution network distributed type reactive power optimization method comprises the steps of 10), performing initialization: initializing parameters of a partition reactive power optimization model; 20), solving the partition reactive power optimization model; 30), performing boundary variable interaction; and 40), performing convergence determination: determining whether the convergence deviations of all boundary variables are less than a convergence deviation threshold value or not; if so, stopping iteration, and proving that the system achieves a convergence state, enabling each partition to optimize the result for the last time according to the step 20), issuing a reactive power dispatching instruction, and stopping the optimization process; and or otherwise, adding 1 to the number of iteration, and determining whether the maximum number of iteration is achieved or not; if the maximum number of iteration is achieved, outputting non-convergence, and finishing the optimization process, or if the maximum number of iteration is not achieved, returning to perform the step 20). By adoption of the active distribution network distributed type reactive power optimization method, the distributed optimization of the global active power loss can be realized; the global voltage quality can satisfy user requirements; and the reliability of the active distribution network reactive power optimization control is improved.