DOI:10.1007/s40565-015-0156-5 |
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Probabilistic equivalent model of DFIG-based wind farmsand its application in stability analysis |
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Net amount: 1855 |
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Author:
Haiqiang ZHOU1, Ping JU1, Yusheng XUE2, Jie ZHU1
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Author Affiliation:
1.Hohai University, Nanjing 210098, China
2.State Grid Electric Power Research Institute,
Nanjing 210003, China
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Foundation: |
Special Fund of
the National Priority Basic Research of China (No. 2013CB228204)
and the National Science Foundation of China (No. 50977021). |
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Abstract: |
A probabilistic equivalent method for doubly
fed induction generator (DFIG) based wind farms is proposed
in this paper. First, the wind farm equivalent model
is assumed to be composed of three types of equivalent
DFIGs with different dynamic characteristics. The structure
of equivalent model remains constant, whereas the
parameters change with the migration of different scenarios
in the wind farm. Then, historical meteorological data are
utilized to investigate the probability distribution of key
equivalent parameters, such as capacity, wind speed and
electrical impedance to the point of common coupling.
Each type of equivalent DFIG is further clustered into
several groups according to their active power output.
Combinations are created to generate representative scenarios.
The probabilistic equivalent model of wind farm is
finally achieved after removing invalid combinations. Most
matched representative scenarios can be predicted
according to the real-time measurement. The equivalent
model is applied to the probabilistic power flow calculation
and the stability analysis of test systems. |
Keywords: |
Doubly fed induction generator (DFIG), Wind
farm, Probabilistic equivalent model, Representative
scenarios, Stability analysis |
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Online Time:2016/04/20 |
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