The invention discloses a power distribution network frame fuzzy programming method taking DG uncertainty into account. The method includes the following steps of according to the uncertainty of a distributed power source, constructing a first-type distributed power source output model and a second-type distributed power source output model; according to the second-type distributed power source output model, adopting a power distribution network topology structure constraint, a node voltage upper limit, a permeability constraint and a system power balance constraint as constraint conditions tocreate a power distribution network frame programming target function which involves the distributed power source and is based on a fuzzy expected value, wherein the fuzzy expected value is obtainedby means of fuzzy power flow calculation; adopting a genetic algorithm for solution, and obtaining power distribution network frame fuzzy programming of the distributed power source. According to theuncertainty of the distributed power source, power distribution network frame fuzzy programming involving the distributed power source is achieved; with a fuzzy expected value of the annual average expense as the target, more convenience is provided for utilizing the genetic algorithm for optimization searching, and the practicability is high.