Equivalent Modeling Research of Wind Farm Based on Second Clustering Method
In recent years,the scale of wind farms has become larger and larger,and if each unit of a large wind farm is modeled in detail,it will increase the calculation scale and consume a lot of time.The equivalent modeling of large wind farms can effectively reduce the complexity of the model and reduce the amount of calculation.However,it is very important to select the appropriate clustering method and determine the reasonable parameters of the equivalence model of wind farm.Therefore,aiming at the problem that the clustering index is unique and some state variables are difficult to obtain in the wind farm equivalence process,a method is proposed.Firstly,the first grouping is performed based on the unloading circuit conduction,and then for the units that the unloading circuit is not conducting,the second clustering is performed according to the steady-state voltage and the transient voltage drop value.After grouping,the relevant parameters of the equivalent model are calculated,and then the error of the equivalent model and the detailed model under different fault types,different power factors,different short-circuit ratios,and different residual voltage amplitudes are calculated.Through comparison with the stand-alone equivalent method,it is concluded that the error of the equivalent model obtained by the proposed method is greatly reduced,which verifies the effectiveness of the equivalent method.
Equivalent modeling of wind farmschopper circuitsecondary clusteringparameter equivalence
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