The invention relates to a low-carbon intelligent park resource-load coordination optimization method, and the method comprises the steps: initializing time t as zero, and enabling the time t to serve as the start point; initializing parameters of all time periods, and inputting state data; calculating the total carbon emission of a conventional set in the time period, the carbon emission limit of this time period and the carbon excessive emission cost; calculating the power generation cost of the conventional set and the generalized cost of wind power, and obtaining resource-load coordination call cost; determining a target function and a constraint condition, and consuming large-scale wind power through adjusting the output of a thermal power generating unit. The method solves a problem of resource-load coordination optimization of a low-carbon power system with a wind farm, finds an optimal solution to an optimization model, and achieves the system safety, economic and low-carbon targets.