With increasing the number of wind power generators,the consumption time of electromagnetic simu-lation of the wind farm *** reduce the simulation time while meeting the accuracy requirement,a geneticclustering-based...
详细信息
With increasing the number of wind power generators,the consumption time of electromagnetic simu-lation of the wind farm *** reduce the simulation time while meeting the accuracy requirement,a genetic clustering-based equivalent model is proposed for the wind farm with numerous doubly fed induction *** the proposed model,active power together with the reactive power and the wind speed are selected to form the set of clustering indicators.A normalization technique is utilized to cope with the multiple orders of magnitude in these *** exponential fitness value is formulated as a function of the sorting number of the primary fitness value,and the fitness-based selection probability is constructed to overcome the property of premature and slow convergence of the geneticclustering *** sum of squares due to error is used to determine the optimal clustering *** addition,a decoupled parameter equivalence method is adopted to obtain the equivalent parameters of the collection *** results and comparisons with various methods under different voltage scenarios show the feasibility and effectiveness of the proposed model.
暂无评论