Evaluation of effect of SSSC stabilizer in different control channels on sub-synchronous resonance oscillations

Document Type : Article

Authors

1 Department of Engineering, Lorestan University, Lorestan, Iran

2 Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.

Abstract

To increase transmitted power, series capacitors may be used in the transmission lines. A compensated transmission line together with a turbine-generator may cause sub-synchronous resonance (SSR) phenomena in a power system. In this paper, details of dynamic modeling of a single machine power system connected to the network through a transmission line, compensated with a series capacitor, has been presented. Static synchronous series compensator (SSSC) as one of series FACTS devices has been used for damping of the SSR oscillations. For this purpose, a linear damping SSSC-based stabilizer with lead-lag structure is included to SSSC controller. To determine parameters of SSSC stabilizer, a new multi-objective function has been proposed. In this function, in addition to improve stability of critical modes the gain of the stabilizer has been considered. To have stabilizer with minimum phase structure, suitable constraints have been determined and added to the objective function. To optimize the objective function, a recently developed optimization technique known as grey wolf optimization (GWO) algorithm has been applied. The eigenvalues analysis and nonlinear simulations on the IEEE first benchmark model (FBM) power system with a SSSC stabilizer illustrate the effectiveness of the proposed method to suppress SSR oscillations in the studied system.

Keywords

Main Subjects


References
1. Mathur, R.M. and Varma, R.K., Thyristor-Based
FACTS Controllers for Electrical Transmission Systems,
John Wiley & Sons (2002).
2. Padiyar, K., Analysis of Subsynchronous Resonance in
Power Systems, 471, Springer (1998).
3. Virulkar, V.B. and Gotmare, G.V. Sub-synchronous
resonance in series compensated wind farm: A review",
Renewable and Sustainable Energy Reviews, 55, pp.
1010-1029 (2016).
4. Widyan, M.S. On the e ect of AVR gain on bifurcations
of subsynchronous resonance in power systems",
Int. J. Elect. Power and Energy Syst., 32(6), pp. 656-
663 (2010).
5. Ghorbani, A. and Pourmohammad, S. A novel excitation
controller to damp subsynchronous oscillations",
Int. J. Elect. Power & Energy Syst., 33(3), pp. 411-419
(2011).
6. De Jesus, F.D., Watanabe, E.H., and De Souza,
L.F.W. SSR and power oscillation damping using
gate-controlled series capacitors (GCSC)", IEEE
Trans. Power Del., 22(3), pp. 1806-1812 (2007).
7. Mokhtari, M., Khazaei, J. and Nazarpour, D. Subsynchronous
resonance damping via doubly fed induction
generator", Int. J. Elect. Power and Energy Syst.,
53, pp. 876-883 (2013).
8. Khazaie, J., Mokhtari, M., Khalilyan, M., et al. Subsynchronous
resonance damping using distributed
static series compensator (DSSC) enhanced with fuzzy
logic controller", Int. J. Elect. Power and Energy Syst.,
43(1), pp. 80-89 (2012).
9. Zhao, B., Li, H., Wang, M., et al. An active
power control strategy for a DFIG-based wind farm
to depress the subsynchronous resonance of a power
system", Int. J. Elect. Power and Energy Syst., 69,
pp. 327-334 (2015).
10. Mancilla-David, F., Dominguez-Garcia, J.L., De
Prada, M., et al. Modeling and control of Type-2 wind
turbines for sub-synchronous resonance damping", Energy
Conv. and Manag., 97, pp. 315-322 (2015).
11. Revela, G., Leon, A.E., Alonso, D.M., et al. Multiparameter
bifurcation analysis of subsynchronous interactions
in DFIG-based wind farms", Electric Power
Systems Research (in press).
12. Huang, P., Moursi, M., and Xiao, W. Subsynchronous
resonance mitigation for series-compensated DFIGbased
wind farm by using two-degree-of-freedom control
strategy", IEEE Trans. PWRS, 31(2), pp. 1038-
1047 (2016).
13. Khayyatzadeh, M. and Kazemzadeh, R. Subsynchronous
resonance damping using high penetration
PV plant", Mech. Syst. and Signal Proc., 84, pp.
431-444 (2017).
14. Wang, S., Xu, Z., and Wang, S. New ndings on
bypass damping lter in increasing subsynchronous
resonance damping of series compensated system",
IET Gener. Transm. Distrib., 9(13), pp. 1718-1726
(2015).
15. Liu, H., Xie, X., and Wang, L. Optimal design of
linear subsynchronous damping controllers for stabilising
torsional interactions under all possible operating
conditions", IET Gener. Transm. Distrib., 9(13), pp.
1652-1662 (2015).
16. Adees, A. and Milanovic, J.V. Methodology for evaluation
of risk of subsynchronous resonance in meshed
compensated networks", IEEE Trans. PWRS, 29(2),
pp. 815-823 (2014).
17. Sen, K.K. SSSC-static synchronous series compensator:
theory, modeling, and application", IEEE
Trans. Power Del., 13(1), pp. 241-246 (1998).
18. Bongiorno, M., Svensson, J., and Angquist, L. On
control of static synchronous series compensator for
SSR mitigation", IEEE Trans. Power Electronics,
23(2), pp. 735-743 (2008).
19. Varma, R.K., Auddy, S., and Semsedini, Y. Mitigation
of subsynchronous resonance in a seriescompensated
wind farm using FACTS controllers",
IEEE Trans. Power Del., 23(3), pp. 1645-1654 (2008).
20. Khaparde, S. and Krishna, V. Simulation of uni ed
static VAr compensator and power system stabilizer
for arresting subsynchronous resonance", In Power
Industry Computer Applications, 20th International
Conference on. IEEE (1997).
M.R. Shakarami et al./Scientia Iranica, Transactions D: Computer Science & ... 25 (2018) 1492{1506 1505
21. El-Moursi, M.S., Bak-Jensen, B., and Abdel-Rahman,
M.H. Novel STATCOM controller for mitigating SSR
and damping power system oscillations in a series compensated
wind park", IEEE Trans. Power Electronics,
25(2), pp. 429-441 (2010).
22. Alomari, M.M. and Zhu, J.G. Bifurcation control of
subsynchronous resonance using TCSC", Communications
in Nonlinear Science and Numerical Simulation,
16(5), pp. 2363-2370 (2011).
23. Thampatty, K.S., Nandakumar, M., and Cheriyan,
E.P. Adaptive RTRL based neurocontroller for damping
subsynchronous oscillations using TCSC", Engineering
Applications of Arti cial Intelligence, 24(1),
pp. 60-76 (2011).
24. Padiyar, K. and Prabhu, N. Design and performance
evaluation of subsynchronous damping controller with
STATCOM", IEEE Trans. Power Del., 21(3), pp.
1398-1405 (2006).
25. Panda, S., Baliarsingh, A.K., Mahapatra, S. et al.
Supplementary damping controller design for SSSC
to mitigate sub-synchronous resonance", Mech. Syst.
and signal Prroc., 68-69, pp. 523-535 (2016).
26. Adees, A. and Milanovic, J.V. Optimal compensation
of transmission lines based on minimisation of the risk
of subsynchronous resonance", IEEE Trans. PWERS,
30(3), pp. 1442-1454 (2015).
27. Rai, D., Faried, S.O., Ramakrishna, G., et al. Hybrid
series compensation scheme capable of damping subsynchronous
resonance", IET Gener. Transm. Distrib.,
4(3), pp. 456-466 (2010).
28. Shakarami, M. and Kazemi, A. Simultaneous coordinated
tuning of SSSC-based stabilizer and PSS
using quadratic mathematical programming", Scientia
Iranica, Trans. D, Comp. Science and Elec. Eng.,
17(2), pp. 163-174 (2010).
29. Thirumalaivasan, R., Janaki, M., and Prabhu, N.
Damping of SSR using subsynchronous current suppressor
with SSSC", IEEE Trans. PWRS, 28(1), pp.
64-74 (2013).
30. Rai, D., Ramakrishna, G., Faried, S.O. et al. Enhancement
of power system dynamics using a phase
imbalanced series compensation scheme", IEEE Trans.
PWRS, 25(2), pp. 966-974 (2010).
31. Farahani, M., Ganjefa, S., and Alizadeh, M. Intelligent
control of SSSC via an online self-tuning PID
to damp the subsynchronous oscillations in Electrical
Engineering (ICEE)", 2012 20th Iranian Conference
on. IEEE (2012).
32. Group, I.S.W. First benchmark model for computer
simulation of subsynchronous resonance", IEEE Trans.
on PAS, 96(5), pp. 1565-1572 (1977).
33. Padiyar, K. and Prabhu, N. Analysis of SSR with
three-level twelve-pulse VSC-based interline power-

ow controller", IEEE Trans. Power Del., 22(3), pp.
1688-1695 (2007).
34. Kundur, P., Balu, N.J., and Lauby, M.G., Power
System Stability and Control, 7, McGraw-Hill New
York (1994).
35. Report, I. Dynamic models for steam and hydro
turbines in power system studies", IEEE Trans. PAS,
6, pp. 1904-1915 (1973).
36. Abdel-Magid, Y. and Abido, M. Optimal multiobjective
design of robust power system stabilizers using
genetic algorithms", IEEE Trans. PWRS, 18(3), pp.
1125-1132 (2003).
37. Mirjalili, S., Mirjalili, S.M., and Lewis, A. Grey wolf
optimizer", Advances in Engineering Software, 69, pp.
46-61 (2014).
38. Sharma, S., Bhattacharjee, S., and Bhattacharya A.
Grey wolf optimisation for optimal sizing of battery
energy storage device to minimize operation cost of
microgrid", IET Gener. Transm. Distrib., 10(3), pp.
625-637 (2016).
39. Madadi, A. and Motlagh, M.M., Optimal Control
of DC Motor Using Grey Wolf Optimizer Algorithm
(2014).