The present invention provides a method for dividing photovoltaic output fluctuation types, comprising: I, collecting and processing historical data; II, determining feature vectors according to feature indexes reflecting photovoltaic output features; III, performing clustering analysis by using a self-organizing feature map neural network; and IV, dividing photovoltaic output fluctuation types. The method of the invention can serve as an early basis to be applied in medium and long term output time series modeling of photovoltaic power generation, and provides early technical means for generation of photovoltaic simulation data required by time series production simulation containing large-scale new energy sources, and annual new energy source consumption ability analysis.