The invention discloses a regional distributed photovoltaic output prediction method based on a satellite cloud picture, and the method comprises the steps: 1, carrying out the dividing of a regional distributed photovoltaic system according to a grid; 2, carrying out the data recording; 3, carrying out the processing of historical data; 4, carrying out the correction of the power data of a power clear sky model; 5, carrying out the calculation of a cloud index; 6, carrying out the normalization processing of different time lag scale data of output power of each grid, corrected clear sky model power, sun spatial-temporal model data, air quality data, weather forecast information and satellite cloud picture cloud index operator data, and building an Elman neural network model through a random training method; 7, inputting the latest calculated input variable parameters into the above models, and enabling the prediction data of each grid to be superposed to serve as the regional photovoltaic output prediction data. The method is higher in prediction precision, and is higher in efficiency.