Research Of Control Strategy Of Wind Farm Power Generation Maximum Based On The Concept Of Wisdom Wind Farm

Efficient,reliable,low-cost wind power technology has become the focus of many domestic and foreign scientific institutions.Wisdom wind farms provide a new way to solve the problems of power generation technology,which can take advantages of Internet technology,intelligent control technology and data mining technology with advanced sensors to realize the real-time,two-way communication between turbines and turbine autonomous optimal control strategy.Based on the concept of wisdom wind farm,this paper proposes an optimized control strategy for the whole wind farm to reduce the effect of wake between turbines.The analysis of theory and numerical example prove that this control strategy can promote wind farms generating capacity and reduce the loads of turbine.This paper presents a typical wind farm of 33 sets of 2.0MW wind turbine as the object for the study.First,based on the research of wind turbine aerodynamics,the typical wind speed model of wind farm,comprising natural wind,wind shear and to wer shadow effect,has been established,and segment linearized wake model has been proposed;then,for reducing the wake effects between the turbines,this paper proposes a new cluster-optimized control strategy which can realize the goal of maximizing the power generation for whole wind farm,and has a deep research on its mechanism creatively to verify its effectiveness;Thereafter,the loads of first turbine under different control strategies are compared and analyzed,and the calculation results show the superiority of new control strategy to reduce loads and improve the reliability.In the process of research,the software Matlab is used to improve the accuracy of wind turbine wake model,genetic algorithm is added in the control system to optimize the value of variables,and the software Bladed and Windpro are applied separately to calculate the loads of first turbine and the generated electrical energy of the whole wind farm.The results show that the segment linearized wake model can meet the needs of the simulation accuracy,and wind farm cluster-optimized control strategy based on genetic algorithm can improve the overall generating capacity of the wind farm over 2%,and can significantly reduce blades aerodynamic loads of first turbine,having proved the effectiveness of new control strategy on improving reliability and power generation.