The invention discloses a power distribution network active optimization method based on renewable energy high permeability, and the method comprises the following steps: S1, obtaining prediction data values of photovoltaic and wind power in m time sections of the future 24 hours as the maximum power P and P of the time sections, obtaining the adjustable power of a flexible load in m time sections of the future 24 hours from a load management system, calculating and obtaining the load adjustment coefficient lambda of each time section, and obtaining the prediction data values of a common load in m time sections of the future 24 hours; S2, setting a target function and constraint condition of an active optimization model; S3, obtaining the data values of the electricity price, the natural gas price and the water inflow of a reservoir in m time sections of the future 24 hours; S4, setting all parameters of the active optimization model, inputting the data values obtained at step S1 and S3 into the active optimization model, solving the active optimization model through a PSO (Particle Swarm Optimization) algorithm, and obtaining the active optimization scheduling strategy of the future 24 hours.