Sub-Synchronous Resonance Damping Control for Series-Compensated DFIG-Based Wind Farm With Improved Particle Swarm Optimization Algorithm

In this paper, we propose an improved subsynchronous resonance (SSR) damping controller (SSRDC) and a related control strategy to mitigate the SSR in a capacitive series-compensated double-fed induction generator based wind farms, based on the damping torque analysis. The proposed strategy is utiliz...

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Bibliographic Details
Published in:IEEE transactions on energy conversion Vol. 34; no. 2; pp. 849 - 859
Main Authors: Yao, Jun, Wang, Xuewei, Li, Jiawei, Liu, Ruikuo, Zhang, Hailin
Format: Journal Article
Language:English
Published: New York IEEE 01.06.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Computer simulation
Control stability
Controllers
Converters
Damping
Double-fed induction generator (DFIG)
Doubly fed induction generators
eigenvalue analysis
Eigenvalues
Inductance
Induction generators
Mathematical model
Optimization algorithms
Particle swarm optimization
particle swarm optimization (PSO) algorithm
Power system stability
Rotors
SSR damping controller (SSRDC)
Stability analysis
Strategy
sub-synchronous resonance (SSR)
Systems stability
Wind effects
Wind farms
Wind power
Wind power generation
ISSN:0885-8969, 1558-0059
Online Access:Get full text
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Summary:In this paper, we propose an improved subsynchronous resonance (SSR) damping controller (SSRDC) and a related control strategy to mitigate the SSR in a capacitive series-compensated double-fed induction generator based wind farms, based on the damping torque analysis. The proposed strategy is utilized for enhancing the system stability. Compared with the traditional damping controller, the proposed SSRDC is simultaneously embedded into the d-axis and q-axis control channels in the inner current loop of the rotor-side converter. On this basis, combined with the eigenvalue analysis and improved particle swarm optimization algorithm, the optimum gain coefficients of the SSRDC can be determined for maximizing the mitigation effect under different operation conditions of the series compensation levels and wind speeds. Moreover, the effect of the weight coefficients in the objective function on the SSR suppression is also investigated. Finally, the time-domain simulations are carried out to demonstrate the effectiveness of the proposed control strategy for mitigating the SSR and suppressing the connected power system oscillations.
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ISSN:0885-8969
1558-0059
DOI:10.1109/TEC.2018.2872841