Research Article

Dynamic Equivalent Modeling of Wind Farm Based on Dominant Variable Hierarchical Clustering Algorithm

Table 2

Calculation results of 13 state variables of 24 wind turbines.

NoSβTmTtTeIdsIqsIdrIqrUdrUqrEdEq

1−0.2000.720.720.7200.670.59−0.70−0.02−0.230.141.08
2−0.2000.580.580.5800.540.59−0.57−0.02−0.230.111.08
3−0.2000.440.440.4400.410.59−0.43−0.01−0.230.091.08
4−0.1100.330.330.3300.310.59−0.320.00−0.130.061.08
5−0.2000.720.720.7200.670.59−0.70−0.02−0.230.141.08
6−0.2000.580.580.5800.540.59−0.57−0.02−0.230.111.08
7−0.2000.440.440.4400.410.59−0.43−0.01−0.230.091.08
8−0.1100.330.330.3300.310.59−0.320.00−0.130.061.08
9−0.2000.680.680.6800.630.59−0.67−0.02−0.230.131.08
10−0.2000.530.530.5300.490.59−0.52−0.02−0.230.101.08
11−1.9700.380.380.3800.350.59−0.38−0.01−0.230.071.08
12−0.0100.270.270.2700.250.59−0.270.00−0.010.051.08
13−0.2000.680.680.6800.630.59−0.67−0.02−0.230.131.08
14−0.2000.530.530.5300.490.59−0.52−0.02−0.230.101.08
15−0.1900.380.380.3800.350.59−0.38−0.01−0.230.071.08
16−0.0100.270.270.2700.250.59−0.270.00−0.120.051.08
17−0.2000.680.680.6800.630.59−0.67−0.02−0.230.131.08
18−0.2000.530.530.5300.490.59−0.52−0.02−0.230.101.08
19−1.9600.380.380.3800.350.59−0.38−0.01−0.230.071.08
20−0.0100.270.270.2700.250.59−0.270.00−0.120.051.08
21−0.2000.680.680.6800.630.59−0.67−0.02−0.230.131.08
22−0.2000.530.530.5300.490.59−0.52−0.02−0.230.101.08
23−0.1900.380.380.3800.350.59−0.38−0.01−0.230.071.08
24−0.0100.270.270.2700.250.59−0.270.00−0.120.051.08