LAPSE:2018.0518
Published Article
LAPSE:2018.0518
Active-Current Control of Large-Scale Wind Turbines for Power System Transient Stability Improvement Based on Perturbation Estimation Approach
Peng Shen, Lin Guan, Zhenlin Huang, Liang Wu, Zetao Jiang
September 21, 2018
This paper proposes an active-current control strategy for large-scale wind turbines (WTs) to improve the transient stability of power systems based on a perturbation estimation (PE) approach. The main idea of this control strategy is to mitigate the generator imbalance of mechanical and electrical powers by controlling the active-current of WTs. The effective mutual couplings of synchronous generators and WTs are identified using a Kron-reduction technique first. Then, the control object of each WT is assigned based on the identified mutual couplings. Finally, an individual controller is developed for each WT using a PE approach. In the control algorithm, a perturbation state (PS) is introduced for each WT to represent the comprehensive effect of the nonlinearities and parameter variations of the power system, and then it is estimated by a designed perturbation observer. The estimated PS is employed to compensate the actual perturbation, and to finally achieve the adaptive control design without requiring an accurate system model. The effectiveness of the proposed control approach on improving the system transient stability is validated in the modified IEEE 39-bus system.
Keywords
effective mutual coupling, perturbation estimation, perturbation observer, power system transient stability, wind turbine
Suggested Citation
Shen P, Guan L, Huang Z, Wu L, Jiang Z. Active-Current Control of Large-Scale Wind Turbines for Power System Transient Stability Improvement Based on Perturbation Estimation Approach. (2018). LAPSE:2018.0518
Author Affiliations
Shen P: School of Electrical Power, South China University of Technology, Guangzhou 510641, China
Guan L: School of Electrical Power, South China University of Technology, Guangzhou 510641, China
Huang Z: School of Electrical Power, South China University of Technology, Guangzhou 510641, China
Wu L: School of Electrical Power, South China University of Technology, Guangzhou 510641, China
Jiang Z: School of Electrical Power, South China University of Technology, Guangzhou 510641, China
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Journal Name
Energies
Volume
11
Issue
8
Article Number
E1995
Year
2018
Publication Date
2018-08-01
Published Version
ISSN
1996-1073
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PII: en11081995, Publication Type: Journal Article
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LAPSE:2018.0518
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doi:10.3390/en11081995
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Sep 21, 2018
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Sep 21, 2018
 
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Calvin Tsay
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