Multi-model wind power plant layout optimization method

The invention discloses a multi-model wind power plant layout optimization method, which comprises the following steps of: 1) performing grid division on a wind power plant area to form a plurality of grids, randomly arranging a wind turbine in all grids or part of grids, and randomly arranging the types of the wind turbines arranged in each grid to form an initial layout; after wind turbines are repeatedly arranged for multiple times, a plurality of initial layouts are formed; 2) establishing a wind power plant wind speed model, inputting incoming flow wind speed and wind direction, and calculating the leveling energy cost of each initial layout according to the incoming flow wind speed and wind direction; and (3) optimizing the initial layout by adopting a genetic algorithm, and obtaining the optimal multi-model layout when the layout result converges, wherein the optimization target is to minimize the leveling energy cost. By estimating the wake effect among multiple types of wind turbines, the fatigue dam