Research On Stability Control Methods In Wind Power Generation Integrating Into Power System

Due to the shortage of resources and pollution of the environment,fossil energy has caused widespread concern,development and application of wind power-based renewable energy generation.As more and more wind farms and power systems operate in a network,when wind speed disturbances or line faults occur,voltage instability,reactive power shortage,etc.are likely to occur,which affects the stability of the wind turbine's grid-connected operation.In order to ensure the reliable grid connection and stable operation of the wind farm,it is very necessary to effectively improve the stability of the grid-connected operation of wind power generation.Based on the introduction of the characteristics of different types of wind turbines,the thesis compares and analyzes the characteristics of various wind turbines.Based on the analysis of the working principle of doubly-fed wind turbines,the mathematical model is simplified by the vector transformation method and the stator is used.The control strategy of flux linkage directional vector control analyzes the working characteristics and mathematical models of wind turbines,wind speed models and mechanical transmission parts.The thesis uses MATLAB/Simulink software platform to model and simulate the doubly-fed wind power grid-connected system.The theoretical method adopted effectively solves the stability impact of the doubly-fed wind turbine on grid-connected operation when the wind speed changes.The thesis introduces the STATCOM device using the direct current control method under coordinates into the FSIG and DFIG wind power systems,respectively,and improves the transient stability of the system by providing dynamic reactive power compensation to the system.Simulation of wind power system grid-connected operation under the conditions of wind speed disturbance,line failure and different STATCOM capacity.The simulation results prove that STATCOM can effectively improve the transient voltage stability of the wind power system.