Mitigation of SSR by Embedding Subsynchronous Notch Filters into DFIG Converter Controllers

The interaction between controllers of doubly fed induction generators (DFIGs) and fixed series compensations may cause a new type of subsynchronous resonance (SSR), namely subsynchronous control interaction. To mitigate this emerging issue, a novel suppression method, embedding subsynchronous notch filters (SNFs) into DFIG converter controllers, is proposed in this study. By using the impedance-model-based analysis and a quantitative location-dependent performance index, the best location is identified to insert SNFs into the controllers of both rotor-side and grid-side converters. Two specific SNF schemes are recommended for practical use, and a design procedure is developed to tune their parameters. As a case study, they are then applied to a practical series-compensated wind-farm system that suffered from SSR. Both impedance analysis and time-domain simulations have been conducted to investigate their performance. The results verified that they can defuse the interaction between DFIG controllers and series compensation; therefore, successfully eliminating the risk of unstable SSR under all possible operating conditions. The proposed SNF schemes are easy to design and implement, robust to changeable operating conditions and would not affect the normal dynamics of DFIGs. So, they are of great potential in addressing practical SSR issues.

[1]  Lie Xu,et al.  Coordinated reactive power control for facilitating fault ride through of doubly fed induction generator- and fixed speed induction generator-based wind farms , 2010 .

[2]  Enrico Santi,et al.  Analysis of sub-synchronous resonance in doubly-fed induction generator-based wind farms interfaced with gate – controlled series capacitor , 2014 .

[3]  Ramakrishna Gokaraju,et al.  Dynamic Phasor Modeling of Type 3 DFIG Wind Generators (Including SSCI Phenomenon) for Short-Circuit Calculations , 2015, IEEE Transactions on Power Delivery.

[4]  Mohamed Shawky El Moursi,et al.  Subsynchronous Resonance Mitigation for Series-Compensated DFIG-Based Wind Farm by Using Two-Degree-of-Freedom Control Strategy , 2015, IEEE Transactions on Power Systems.

[5]  Bin Li,et al.  Subsynchronous resonance characteristics in presence of doubly-fed induction generator and series compensation and mitigation of subsynchronous resonance by proper control of series capacitor , 2014 .

[6]  Damian Flynn,et al.  Decoupled-DFIG Fault Ride-Through Strategy for Enhanced Stability Performance During Grid Faults , 2010, IEEE Transactions on Sustainable Energy.

[7]  Enrico Santi,et al.  SSR Damping Controller Design and Optimal Placement in Rotor-Side and Grid-Side Converters of Series-Compensated DFIG-Based Wind Farm , 2015, IEEE Transactions on Sustainable Energy.

[8]  Rajiv K. Varma,et al.  SSR Alleviation by STATCOM in Induction-Generator-Based Wind Farm Connected to Series Compensated Line , 2014, IEEE Transactions on Sustainable Energy.

[9]  Jovica V. Milanovic,et al.  Optimal Compensation of Transmission Lines Based on Minimisation of the Risk of Subsynchronous Resonance , 2016, IEEE Transactions on Power Systems.

[10]  Farrokh Aminifar,et al.  Application of UPFC to Enhancing Oscillatory Response of Series-Compensated Wind Farm Integrations , 2014, IEEE Transactions on Smart Grid.

[11]  Ehab F. El-Saadany,et al.  An improved fault ride-through strategy for doubly fed induction generator-based wind turbines , 2008 .

[12]  G. N. Pillai,et al.  Design and Implementation of Type-2 Fuzzy Logic Controller for DFIG-Based Wind Energy Systems in Distribution Networks , 2016, IEEE Transactions on Sustainable Energy.

[13]  Jiabing Hu,et al.  Inertia Provision and Estimation of PLL-Based DFIG Wind Turbines , 2017, IEEE Transactions on Power Systems.

[14]  Olimpo Anaya-Lara,et al.  Reactive power control of DFIG wind turbines for power oscillation damping under a wide range of operating conditions , 2016 .

[15]  R.K. Varma,et al.  Mitigation of Subsynchronous Resonance in a Series-Compensated Wind Farm Using FACTS Controllers , 2008, IEEE Transactions on Power Delivery.

[16]  Wei Ren,et al.  A Refined Frequency Scan Approach to Sub-Synchronous Control Interaction (SSCI) Study of Wind Farms , 2016, IEEE Transactions on Power Systems.

[17]  Liang Wang,et al.  Investigation of SSR in Practical DFIG-Based Wind Farms Connected to a Series-Compensated Power System , 2015, IEEE Transactions on Power Systems.

[18]  Xiaorong Xie,et al.  Damping DFIG-associated SSR with subsynchronous suppression filters: a case study on a practical wind farm system , 2015 .

[19]  Kit Po Wong,et al.  Advanced Control Strategy of DFIG Wind Turbines for Power System Fault Ride Through , 2012, IEEE Transactions on Power Systems.

[20]  Lingling Fan,et al.  Mitigating SSR Using DFIG-Based Wind Generation , 2012, IEEE Transactions on Sustainable Energy.

[21]  Jorge A. Solsona,et al.  Sub-Synchronous Interaction Damping Control for DFIG Wind Turbines , 2015, IEEE Transactions on Power Systems.

[22]  Yong-June Shin,et al.  SSR Damping in Fixed-Speed Wind Farms Using Series FACTS Controllers , 2016, IEEE Transactions on Power Delivery.

[23]  Enrico Santi,et al.  Optimal adaptive sub-synchronous resonance damping controller for a series-compensated doubly-fed induction generator-based wind farm , 2015 .

[24]  Jean Mahseredjian,et al.  Coordinated Control of Wind Energy Conversion Systems for Mitigating Subsynchronous Interaction in DFIG-Based Wind Farms , 2014, IEEE Transactions on Smart Grid.

[25]  Hui Liu,et al.  Quantitative SSR Analysis of Series-Compensated DFIG-Based Wind Farms Using Aggregated RLC Circuit Model , 2017, IEEE Transactions on Power Systems.

[26]  Lingling Fan,et al.  Nyquist-Stability-Criterion-Based SSR Explanation for Type-3 Wind Generators , 2012 .