A Fuzzy Clustering Algorithm-Based Dynamic Equivalent Modeling Method for Wind Farm With DFIG

With the increasing capacity of grid connected wind farms, the influence of wind power to stable operation of an electric power system is becoming more and more important. In order to analyze the active power output characteristics of wind farm, a multimachine representation dynamic equivalent metho...

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Veröffentlicht in:IEEE transactions on energy conversion Jg. 30; H. 4; S. 1329 - 1337
Hauptverfasser: Zou, Jianxiao, Peng, Chao, Xu, Hongbing, Yan, Yan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.12.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Active power characteristic analysis
Clustering algorithms
dynamic equivalent model
fuzzy clustering algorithm
Generators
Heuristic algorithms
Mathematical model
multimachine representation method
Stators
wind farm with double fed induction wind generator (DFIG)
Wind farms
Wind speed
wind farm with double fed induction wind generator (DFIG)
fuzzy clustering algorithm
multimachine representation method
dynamic equivalent model
Active power characteristic analysis
ISSN:0885-8969, 1558-0059
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Zusammenfassung:With the increasing capacity of grid connected wind farms, the influence of wind power to stable operation of an electric power system is becoming more and more important. In order to analyze the active power output characteristics of wind farm, a multimachine representation dynamic equivalent method based on the fuzzy clustering algorithm is proposed. First, indicators which can characterize the active power output performance of a doubly fed induction wind generator (DFIG) are researched. Second, a fuzzy C-means (FCM) clustering algorithm is first applied to the modeling of wind farm. DFIGs are divided into groups by analyzing the indicator data with FCM. Finally, DFIGs of the same group are equivalent as one DFIG to realize the dynamic equivalent modeling of wind farm with DFIG. Simulation results demonstrated that the established dynamic equivalent model can reflect the active power dynamic response characteristics of wind farm with DFIG effectively; meanwhile, the model of wind farm is simplified and computation complexity is reduced.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2015.2431258