Optimization Of Key Data And Equipment Control During Grid Integration Of Wind Power Generation
Aiming at the problems of large power grid fluctuation and poor power system stability in the process of wind power integration,this paper establishes an energy consumption model of wind power integration considering wind speed change,and analyzes the power coefficient of wind power integration by using Ensemble Empirical Mode Decomposition(EEMD).By screening and decomposing the time series characteristics of wind power signals,a new equipment control strategy is proposed.The experimental results show that the maximum difference between the power detection value and the actual value under the new strategy is only 1.6 kW,the output stability of wind turbines can reach 85%,and the matching degree of fan performance curve can reach 80%.Therefore,the proposed strategy has certain effectiveness and superiority,which provides a new theoretical support and technical scheme for the development of wind power grid-connected technology.