Active Algorithm for Overload State Estimation of New Energy Wind Generator Based on Grey System Theory and Cluster Analysis
In the process of estimating the overload state of the generator,due to many factors affecting the load state and the unstable attribute,the estimation error is large.Therefore,the active estimation algorithm of the overload state of the new energy wind turbine based on gray system theory and cluster analysis was pro-posed.In the analysis of wind power generation state,the characteristic line method was introduced to trans-form the non-constant flow of wind strike into the form of ordinary differential equation,and then transform the ordinary differential equation into differential equation,so as to realize the effective analysis of the com-plex wind transient of wind power generation system.In the overload estimation stage,the original state data information of the wind power generation system was transformed into a gray generation column with the help of the time continuous function model,and the specific load state was classified by hierarchical clustering.Finally,the load information of the gray column was combined to realize the accurate estimation of the over-load state of the wind turbine.In the test results,the error of the estimation results of the design active esti-mation algorithm and the actual overload situation under different working conditions is stable within 0.01MW.
gray system theorycluster analysiswind turbineoverload stateactive estimationgray gen-eration column
万方数据
维普
