Research On The Coordinated Dispatch Strategy Of Active And Reactive Power In Wind Farms Based On Model Predictive Control

The dilemma of traditional fossil energy has promoted the development of wind power technology.Under the stimulus of national policy,the domestic wind power industry has been developing very well.The total capacity and new installed capacity of wind power installed in our country have been the first in the world for eight years,and a large number of large-scale wind farms have been established in China.However,the randomness and mutagenicity of the wind,as well as the uncertainty of the load of the power grid,make the power output of the wind farm have strong volatility and uncertainty,and the unreasonable distribution of wind power will increase the fatigue load of the wind turbine.Therefore,the fine control of the power in the wind farm is of great significance for reducing the fluctuation of the wind electric field and the voltage of the dot,reducing the fatigue loss of the wind turbine and improving the capacity of the wind and electricity of the power grid.This paper focuses on the power scheduling problem in the wind farm to coordinate the active power and reactive power scheduling.The power scheduling in the wind farm is based on the wind speed prediction information to arrange the generation task of the wind turbines in the future,and presents the predictability on the time axis,and the wind power scheduling problem is a multi contract.The optimization problem of bundle and multi-objective is consistent with the predictive characteristics of model predictive control,the ability to handle constraints,and the characteristics of online optimization.Therefore,the model predictive control is used to solve the problem of power dispatching in the wind farm,and a more in-depth study is made on how to improve the precision of control and reduce the optimal calculation.As long as the research work is embodied in several aspects:(1)On the basis of the dynamic characteristics of the main modules of the wind farm,the simple linear model of the wind farm is constructed,and the cooperative scheduling strategy of the active and reactive power in the wind farm based on the model predictive control is further constructed,and then the optimal calculation strategy of the model predictive control is analyzed.(2)Aiming at the problems of large calculation burden,poor fault tolerance and poor expansion ability of centralized model predictive control center controller,the distributed control framework is introduced to improve the distributed predictive control of multi-agent and distributed predictive control of multi-agent by using each typhoon unit as a single agent.The simulation results show that the algorithm is effective.(3)According to the connection of the power line in the wind farm,the wind turbines are divided into groups,the group distributed model prediction based on the line topology is constructed,and the cooperative control strategy between the subsystems is formulated.Finally,the effectiveness of the algorithm is verified by the simulation experiment.On the basis of the dynamic characteristics of the main modules of the wind farm,the simple linear model of the wind farm is constructed,and the coordinated dispatch strategy of the active and reactive power in the wind farm based on model predictive control is further constructed.