Analysis and Suppression Strategies of Sub-Synchronous Oscillations in DFIG Wind Farm Integrated with Synchronous Pumped Storage System

Yuzhe Chen, Feng Wu (), Linjun Shi, Yang Li, Zizhao Wang and Yanbo Ding
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Yuzhe Chen: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Feng Wu: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Linjun Shi: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Yang Li: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China
Zizhao Wang: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Yanbo Ding: College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Sustainability, 2025, vol. 17, issue 10, 1-22

Abstract: The sub-synchronous oscillation (SSO) characteristics and suppression strategies of a hybrid system comprising doubly fed induction generator (DFIG)-based wind turbines and synchronous pumped storage units connected to the power grid via series-compensated transmission lines are analyzed. A modular modeling approach is used to construct a detailed system model, including the wind turbine shaft system, DFIG, converter control system, synchronous machine, excitation system, power system stabilizer (PSS), and series-compensated transmission lines. Eigenvalue calculation-based small-signal stability analysis is conducted to identify the dominant oscillation modes. Suppression measures are also developed using relative participation analysis, and simulations are carried out to validate the accuracy of the model and analysis method. The analysis results indicate that the SSO phenomenon is primarily influenced by the electrical state variables of the DFIG system, while the impact of the state variables of the synchronous machine is relatively minor. When the level of series compensation in the system increases, SSO is significantly exacerbated. To address this issue, a sub-synchronous damping controller (SSDC) is incorporated on the rotor side of the DFIG. The results demonstrate that this method effectively mitigates the SSO and significantly enhances the system’s robustness against disturbances. Furthermore, a simplified modeling approach is proposed based on relative participation analysis. This method neglects the dynamic characteristics of the synchronous machine while considering its impact on the steady-state impedance and initial conditions of the model. These findings provide theoretical guidance and practical insights for addressing and mitigating SSO issues in hybrid renewable energy systems composed of DFIGs and synchronous machines.

Keywords: doubly fed induction generator (DFIG); synchronous pumped storage; small-signal stability analysis; sub-synchronous oscillation (SSO); sub-synchronous damping controller (SSDC) (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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