Research Article
Equivalent Modeling of DFIG-Based Wind Power Plant Considering Crowbar Protection
Table 5
Equivalent accuracy of crowbar conduction and model error indices.
| Operating conditions | Clustering index | Equivalent accuracy/% | Dynamic absolute error | Dynamic relative error | /pu | /MW | /Mvar | /% | /% | /% |
| Figure 6(a) | Crowbar conduction | 100.0 | 0.0004 | 0.08 | 0.12 | 0.07 | 0.65 | 1.44 | Incoming wind | 77.3 | 0.0016 | 0.53 | 0.61 | 0.39 | 5.36 | 3.98 | Speed vector of generator | 57.6 | 0.0061 | 0.67 | 2.32 | 1.42 | 6.32 | 25.87 |
| Figure 6(b) | Crowbar conduction | 100.0 | 0.0007 | 0.10 | 0.23 | 0.15 | 0.77 | 16.03 | Incoming wind | 54.5 | 0.0046 | 0.73 | 1.78 | 1.13 | 6.39 | 27.44 | Speed vector of generator | 47.0 | 0.0072 | 0.56 | 2.62 | 1.66 | 4.74 | 236.25 |
| Figure 6(c) | Crowbar conduction | 98.5 | 0.0012 | 0.35 | 0.50 | 0.22 | 2.46 | 3.78 | Incoming wind | 72.7 | 0.0035 | 0.35 | 1.25 | 0.79 | 2.22 | 13.74 | Speed vector of generator | 72.7 | 0.0045 | 0.57 | 1.78 | 0.95 | 3.59 | 16.72 |
| Figure 7(a) | Crowbar conduction | 98.5 | 0.0005 | 0.10 | 0.21 | 0.13 | 6.74 | 1.88 | Incoming wind | 54.5 | 0.0044 | 0.81 | 1.55 | 1.21 | 74.75 | 21.31 | Speed vector of generator | 53.0 | 0.0042 | 0.85 | 1.46 | 1.16 | 73.81 | 19.85 |
| Figure 7(b) | Crowbar conduction | 95.5 | 0.0006 | 0.22 | 0.22 | 0.14 | 7.23 | 3.97 | Incoming wind | 50.0 | 0.0066 | 1.19 | 2.35 | 1.80 | 45.76 | 53.90 | Speed vector of generator | 51.5 | 0.0064 | 1.22 | 2.26 | 1.74 | 45.51 | 50.70 |
| Figure 7(c) | Crowbar conduction | 100.0 | 0.0004 | 0.13 | 0.19 | 0.07 | 2.17 | 0.86 | Incoming wind | 80.3 | 0.0006 | 0.18 | 0.20 | 0.08 | 3.50 | 0.97 | Speed vector of generator | 78.8 | 0.0005 | 0.24 | 0.26 | 0.10 | 3.20 | 1.13 |
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