The invention relates to the field of
wind power generation, in particular to a complex
terrain wind power plant power and load collaborative optimization control method and
system. Acquiring operation data and environment data of the target
wind power plant in real time; constructing a multi-fan wake flow influence evaluation model of the target wind power
plant based on the
environmental data; establishing a multi-objective optimization function by taking the maximization of the total generated power of the wind power plant as a first optimization objective and the minimization of the load of the key
structural component of each wind
turbine generator as a second optimization objective; on the basis of a multi-fan wake flow influence evaluation model, predicting
equivalent input wind speeds of all the wind
turbine generators under different control strategies; according to the method, maximization of the total generated power of the wind power plant and minimization of the loads of key structural components of all wind
turbine generators serve as optimization objectives, a multi-objective optimization function is established, it is guaranteed that the
generating capacity is improved, meanwhile, the fatigue loads of a
tower, blades and other components can be reduced, the service life of a draught fan is prolonged, and the operation and maintenance cost is reduced; and the
operation safety and economy of the wind power plant are improved.