DocumentCode :
1777984
Title :
Dynamic equivalent modeling of wind farm with DDPMSG wind turbine generators
Author :
Longyuan Li ; Tianyu Wang ; Xiaora Wang
Author_Institution :
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
fYear :
2014
fDate :
20-22 Oct. 2014
Firstpage :
2908
Lastpage :
2914
Abstract :
In order to reduce the complexity of simulation system with wind farm (WF) model and computation time while ensuring the precision, taking the consistency of WF output characteristics at point of common connection (PCC) as objective, a dynamic equivalent modeling method which is appropriate for WF with direct-driven permanent magnet synchronous generators (DDPMSGs) wind turbine generator (WTG) is proposed in this paper. Wind speed, turbine angular speed and pitch angle, which can represent operating point of DDPMSG WTG, are adopted as clustering indexes. WTGs are divided into groups by system clustering algorithm. The WTGs in the same group have high similarity of operating characteristic, while WTGs in different groups are different. The parameters of equivalent WTGs and equivalent collector systems are calculated based on the power output characteristics constant principle and voltage loss constant principle. Taking an actual grid-connected WF comprising 66 DDPMSG WTGs in China as an example, output characteristics of detailed model and equivalent model of WF are compared. The simulation results show that before and after the equivalence the WF output characteristics at PCC is consistent in the disturbance of both system and turbine sides, thus the proposed equivalent method is reasonable and effective.
Keywords :
pattern clustering; permanent magnet generators; power grids; synchronous generators; wind power plants; wind turbines; DDPMSG WTG; DDPMSG wind turbine generator; PCC; clustering indexes; computation time; direct-driven permanent magnet synchronous generators WTG; dynamic equivalent modeling method; equivalent collector systems; grid-connected WF; pitch angle; point of common connection; power output characteristics constant principle; simulation system; system clustering algorithm; turbine angular speed; voltage loss constant principle; wind farm model; wind speed; Clustering algorithms; Computational modeling; Generators; Heuristic algorithms; Indexes; Wind speed; Wind turbines; DDPMSG wind turbine generator; clustering indexes; consistency of output characteristics; dynamic equivalent modeling; system clustering algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology (POWERCON), 2014 International Conference on
Conference_Location :
Chengdu
Type :
conf
DOI :
10.1109/POWERCON.2014.6993932
Filename :
6993932
Link To Document :
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