The invention relates to a light storage charging tower random optimization scheduling method considering peak load shifting of a power distribution network. The method comprises the following steps of: 1, establishing a tower day-ahead multi-objective optimization scheduling model by taking the minimum daily operation cost of the tower and the peak clipping and valley filling of the power distribution network as objectives; 2, evaluating the influence of peak load shifting by adopting the minimum variance of the curve of the electricity purchase quantity of each time period of the tower, andconverting multi-objective optimization into a single-objective optimization problem through an economic conversion coefficient; 3, considering the influence of the output uncertainty of the photovoltaic unit in the tower on day-ahead scheduling, describing by adopting a representative scene, and constructing a random optimization scheduling model by taking the tower day-ahead optimization scheduling and representative scene adjustment as the sum of first-stage decision and second-stage decision, day-ahead scheduling cost and real-time adjustment expected operation cost as targets; and 4, testing the actual light storage charging tower, and solving the model. According to the method, the probability optimal scheduling strategy under the scene that the light storage charging tower participates in peak load shifting of the power distribution network can be effectively obtained, economic, efficient and reliable operation of the tower is guaranteed, and peak load shifting of the regional power distribution network are achieved.