LAPSE:2019.0028
Published Article
LAPSE:2019.0028
A Novel DFIG Damping Control for Power System with High Wind Power Penetration
Aiguo Tan, Xiangning Lin, Jinwen Sun, Ran Lyu, Zhengtian Li, Long Peng, Muhammad Shoaib Khalid
January 7, 2019
Aiming at the fact that large-scale penetration of wind power will to some extent weaken the small signal stability of power systems, in this paper, the dynamic model of a doubly fed induction generator (DFIG) is established firstly, to analyze the impact of wind generation on power oscillation damping. Then, based on the conventional maximum power point tracking control of variable speed wind turbine, a supplementary control scheme is proposed to increase the damping of power system. To achieve best performance, parameters of the damping control are tuned by using a genetic algorithm. Results of eigenvalue analysis and simulations demonstrate the effectiveness of supplementary damping control with fixed wind speed. At last, due to the problem that fluctuation of output power of wind generators would cause the unstable performance of the DFIG damping controller above, a new algorithm that adapts to the wind variation is added to the supplementary damping control scheme. Results of the simulation show that an improved damping control scheme can stably enhance system damping under various wind speeds and has higher practical value.
Keywords
adaptive damping control, DFIG supplementary control, doubly fed induction generator (DFIG), power oscillation, small signal stability
Suggested Citation
Tan A, Lin X, Sun J, Lyu R, Li Z, Peng L, Khalid MS. A Novel DFIG Damping Control for Power System with High Wind Power Penetration. (2019). LAPSE:2019.0028
Author Affiliations
Tan A: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; School of Information Engineering, Hubei University for Nationalities, Enshi 445000, China
Lin X: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Sun J: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Lyu R: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Li Z: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Peng L: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
Khalid MS: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China; School of Electrical Engineering, The University of Faisalabad, Faisalabad 38000, Pakistan
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Journal Name
Energies
Volume
9
Issue
7
Article Number
E521
Year
2016
Publication Date
2016-07-05
Published Version
ISSN
1996-1073
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PII: en9070521, Publication Type: Journal Article
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LAPSE:2019.0028
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doi:10.3390/en9070521
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Jan 7, 2019
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Calvin Tsay
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