An SSR multichannel damping control scheme for TCSC considering multiple operating conditions

Summary The impact of thyristor-controlled series capacitor (TCSC) on subsynchronous resonance (SSR) varies with the firing angle, which may significantly reduce the robustness of subsynchronous damping controller (SSDC). To solve this problem, a multichannel damping control scheme for TCSC is proposed in this study for mitigating SSR considering multiple operating conditions. Firstly, an SSR identification method based on PASTd algorithm and subspace estimation, which performs well in term of anti-noise and accuracy, is adopted to extract the necessary information for design of the proposed SSR damping control scheme. By using this identification method, the characteristics of the SSR are investigated when TCSC operates under different conditions. The analysis results show that the phase lags change significantly with the varying of firing angle of TCSC, and in this case, the compensation scheme for the phase lags becomes the main difficulty for SSR damping control. Then, a novel optimal design method is proposed to realize the optimum compensation using multichannel SSDC under different operating conditions. Moreover, as the attenuation coefficients of torsional modes are considered in the optimal design method, the compensation effectiveness on weak damping modes is enhanced. Finally, the PSCAD/EMTDC based simulation results illustrate the validity and adaptability of the proposed SSR multichannel damping control scheme. Copyright © 2016 John Wiley & Sons, Ltd.

[1]  A.M. Kulkarni,et al.  Analysis of SSR Performance of TCSC Control Schemes Using a Modular High Bandwidth Discrete-Time Dynamic Model , 2009, IEEE Transactions on Power Systems.

[2]  J. Wen,et al.  Delay-Dependent Stability Analysis of the Power System With a Wide-Area Damping Controller Embedded , 2011, IEEE Transactions on Power Systems.

[3]  K. V. Rangarao,et al.  gold-MUSIC: A Variation on MUSIC to Accurately Determine Peaks of the Spectrum , 2013, IEEE Transactions on Antennas and Propagation.

[4]  Bin Yang,et al.  Projection approximation subspace tracking , 1995, IEEE Trans. Signal Process..

[5]  E. S. Ali,et al.  TCSC damping controller design based on bacteria foraging optimization algorithm for a multimachine power system , 2012 .

[6]  Hany M. Hasanien,et al.  Design Optimization of PID Controller in Automatic Voltage Regulator System Using Taguchi Combined Genetic Algorithm Method , 2013, IEEE Systems Journal.

[7]  Xiaorong Xie,et al.  Mitigation of Multimodal SSR Using SEDC in the Shangdu Series-Compensated Power System , 2011, IEEE Transactions on Power Systems.

[8]  Fan Zhang,et al.  SSR damping study on a generator connected to TCSC , 2004, IEEE PES Power Systems Conference and Exposition, 2004..

[9]  Zhaoda Zhu,et al.  Reduced-rank space-time adaptive processing using a modified projection approximation subspace tracking deflation approach , 2009 .

[10]  Naoto Kakimoto,et al.  Subsynchronous Resonance Damping Control of Thyristor-Controlled Series Capacitor , 2002, IEEE Power Engineering Review.

[11]  K. Vaisakh,et al.  Effects of strong resonance in multimachine power systems with SSSC supplementary modulation controller , 2013 .

[12]  Shing-Chow Chan,et al.  Robust Recursive Eigendecomposition and Subspace-Based Algorithms With Application to Fault Detection in Wireless Sensor Networks , 2012, IEEE Transactions on Instrumentation and Measurement.

[13]  Zheng Xu,et al.  A supplementary damping controller of TCSC for mitigating SSR , 2009, 2009 IEEE Power & Energy Society General Meeting.

[14]  S. M. Abd-Elazim,et al.  Coordinated design of PSSs and SVC via bacteria foraging optimization algorithm in a multimachine power system , 2012 .

[15]  Xiaorong Xie,et al.  Damping multimodal subsynchronous resonance using a static var compensator controller optimized by genetic algorithm and simulated annealing , 2012 .

[16]  Soheil Ganjefar,et al.  Comparing SVC and synchronous condenser performance in mitigating torsional oscillations , 2015 .

[17]  E. S. Ali,et al.  Synergy of Particle Swarm Optimization and Bacterial Foraging for SSSC Damping Controller Design , 2013 .

[18]  Ian Dobson,et al.  Computing the damping of subsynchronous oscillations due to a thyristor controlled series capacitor , 1996 .

[19]  R. J. Piwko,et al.  Effectiveness of thyristor controlled series capacitor in enhancing power system dynamics: an analog simulator study , 1994 .

[20]  Xiaorong Xie,et al.  An intelligently optimized SEDC for multimodal SSR mitigation , 2009 .

[21]  Abdel-Aty Edris,et al.  Impact of TCSC Control Methodologies on Subsynchronous Oscillations , 2002, IEEE Power Engineering Review.

[22]  S. Singh,et al.  A Modified TLS-ESPRIT-Based Method for Low-Frequency Mode Identification in Power Systems Utilizing Synchrophasor Measurements , 2011, IEEE Transactions on Power Systems.

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

[24]  Sajjad Golshannavaz,et al.  Distributed static series compensator (DSSC) for subsynchronous resonance alleviation and power oscillation damping , 2012 .

[25]  Florian Roemer,et al.  Analytical Performance Assessment of Multi-Dimensional Matrix- and Tensor-Based ESPRIT-Type Algorithms , 2014, IEEE Transactions on Signal Processing.

[26]  Selukka T. Nagarajan,et al.  Fuzzy logic control of SVS for damping SSR in series compensated power system , 2015 .

[27]  Mohammad Reza Zolghadri,et al.  Optimal Electromagnetic Design of a Nonsalient Magnetic-Cored Superconducting Synchronous Machine Using Genetic Algorithm , 2015, IEEE Transactions on Applied Superconductivity.