Distributed photovoltaic acceptance capability quantitative evaluation method and system considering uncertainty

The invention discloses a distributed photovoltaic acceptance capability quantitative evaluation method, system and equipment considering uncertainty, and the method comprises the steps: generating a source load uncertainty scene suitable for medium and long-term planning of a power distribution network, comprehensively considering the occurrence probability of various typical scenes in a time period based on an uncertainty method, and carrying out the prediction of the acceptance capability of the power distribution network through improving a K-Means mean value clustering cluster. Performing scene reduction on the class cluster through an SBR algorithm based on a Kantorovich distance to obtain various typical scenes and probabilities thereof; constructing a future same-time-period load and distributed photovoltaic combined scene set, and solving the voltage out-of-limit probability and the comprehensive line loss rate of each load node by adopting a combined scene probabilistic load flow calculation method;