Research Article

Ultra-Short-Term Multistep Prediction of Wind Power Based on Representative Unit Method

Table 1

Clustering results of wind turbine groups.

ObjectParameters

Unit number1~33
The number of dominant eigenvalues3
The number of clustering groupNo.1 clustering groupNo.2 clustering groupNo.3 clustering group
The number of the same clustering group unit12, 13, 14, 15, 16, 17, 18, 19, 20, 22, 25, 26, 272, 3, 4, 5, 6, 7, 8, 9, 21, 23, 31, 32, 331, 10, 11, 24, 28, 29, 30