NDLI: Dynamic equivalent modeling of wind farm with double fed induction wind generator based on operating data

Content Provider	IEEE Xplore Digital Library
Author	Zhuoli Zhao Ping Yang Zhirong Xu Xu Yin
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. Power, South China Univ. of Technol., Guangzhou, China (Zhuoli Zhao; Ping Yang; Zhirong Xu; Xu Yin)
Abstract	Modeling on the dynamic behavior of wind farm accurately is the premise of studying the impact of large-scale wind power integrated into power system. Considering the difference problem of wind speed because of complex terrain and wind turbine units arranged irregularly in large wind farm, long-time scale measured data is chosen to be the cluster-dependent index. The wind turbine generators are divided into groups by the method of improved fuzzy C-means clustering algorithm. Furthermore, parameter identification for equivalent machine model is provided based on the particle swarm optimization algorithm of global optimum location mutation. The simulation results show that dynamic equivalent model of the wind farm established can reflect the dynamic nature at the point of common coupling (PCC) accurately. It can be used to analyze the stability of large-scale wind power with double fed induction generator (DFIG) integrated into power system, which has important value in engineering.
Sponsorship	Hong Kong Sect. IE/PE/IA/PEL Joint Chapt.
Starting Page	1
Ending Page	6
File Size	2080427
Page Count	6
File Format	PDF
ISBN	9781479932764
e-ISBN	9781479934911
DOI	10.1109/PESA.2013.6828256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wind turbines Wind farms Heuristic algorithms Clustering algorithms Power system dynamics Generators Parameter estimation dynamic equivalent model Operating data double fed induction wind generator parameter identification
Content Type	Text
Resource Type	Article

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