Research On Power Cooperative Control Optimization Of Wind Farm Based On MPC

Wind energy has strong randomness and intermittency,which makes the output power of wind farms have strong fluctuation and uncertainty.The large-scale development and utilization of wind power poses new challenges to the safe and stable operation of power grid.In order to reduce the influence of randomness and intermittency of wind energy on the power grid,reduce wind turbine fatigue load,and improve the power command accuracy of wind farm power tracking power grid dispatching center,this paper carried out a study on power optimization control of wind farm wind turbines.(1)The basic principle of wind power generation is expounded.Taking doubly-fed wind turbine as the research object,the power output model of doubly-fed induction generator is established.A power Control strategy based on Model Predictive Control(MPC)is proposed to realize the collaborative control of active power and reactive power of wind farms by analyzing the problems of multi-objective,multi-constraint and online solution in power control of wind farms.A wind farm power control simulation model composed of 20 turbines is built,and the simulation results verify the effectiveness of the wind farm power control strategy based on the centralized model predictive control.(2)The power control of wind farm based on centralized model predictive control has the problems of high controller calculation burden and poor expansion ability for newly installed units,and the optimization obj ective only considers the minimum total mechanical load of wind farm,rather than the minimum load of a single turbine unit.A wind farm power control strategy based on distributed model predictive control is proposed.In order to reduce the computational burden of distributed controller,local optimization obj ective is adopted for active power control loop,and global optimization objective is adopted for reactive power control loop.The simulation results show that compared with the centralized model predictive control strategy,the vibration of drive chain and tower of the proposed control strategy are significantly reduced.(3)In view of the large number of large-scale wind farm units,the number of distributed control controllers,high cost,complex information interaction and other problems.The active and reactive power cooperative control strategy of wind farm was proposed based on classification-distributed model predictive control.Based on fuzzy C-means clustering algorithm,wind turbines in wind farm were classified according to wind speed and active power output capacity,and the classified wind turbines were taken as a small wind farm group for power optimization control.The simulation results show that the proposed control strategy can reduce the mechanical load of the wind turbine,and ensure that the wind turbine terminal voltage and the wind farm junction voltage are within the safe range,which verifies the effectiveness of the proposed control strategy.