Optimal Design of UPFC Output Feed Back Controller for Power System Stability Enhancement by Hybrid PSO and GSA


In this paper, the optimal design of supplementary controller parameters of a unified power
flow controller(UPFC) for damping low-frequency oscillations in a weakly connected system
is investigated. The individual design of the UPFC controller, using hybrid particle swarm
optimization and gravitational search algorithm (PSOGSA)technique under 3 loading
operating conditions, is discussed. The effectiveness of proposed controller on enhancing
dynamic stability is tested through eigenvalue analysis and time domain simulation. Also
nonlinear and electrical simulation results show the validity and effectiveness of the
proposed control schemes over a wide range of loading conditions. It is also observed that the
proposed UPFC-based damping stabilizers greatly enhance the power system transient
stability. Also, simulation results of coordinated design of stabilizer based on δE and mB is
presented and discussed,the system performance analysis under different operating conditions
show that the δE-based controller is superior to the mB-based controller.


(1)A.T. Al-Awami, Y. L. Abdel-Magid, M. A.
Abido, “A particle-swarm-based approach of
power system stability enhancement with
unified power flow controller”, International
Journal of Electric Power and Energy Systems,
vol. 29, no. 3, pp. 251 – 259, 2007
[2] P. M. Anderson, A. A. Fouad, “Power System
Control and Stability”, Ames, IA: Iowa State
University .Press ,1977.
[3] H. Shayeghi, H. A. Shayanfar, S. Jalilzadeh, A.
Safari,“A PSO based unified power flow
controller for damping of power system
oscillations”, Energy Conversion and
Management,vol. 50, no.10, pp. 2583-2592,
[4] H. Shayeghi, H. A. Shayanfar, S. Jalilzadeh, A.
Safari,“Design of output feedback UPFC
controller for damping of electromechanical
oscillations using PSO”, Energy Conversion
and Management,vol. 50, no.10, pp. 2554-
2561, 2009.
[5] Ali Ajami and Mehdi Armaghan,“Application
of multi-Objective PSO algorithm for power
system stability enhancement by means of
SSSC”, International Journal of Computer and
Electrical Engineering, vol. 2, no. 5, pp.
1793-8163, 2010
[6] M. A. Abido, “Robust design of multimachine
power system stabilizers using simulated
annealing”, IEEE Trans. Energy Conversion,
vol. 15, no. 3, pp. 297-304, 2000.
[7] Chun liu, Ryuichi Yokoyama, Kaoru Koyanagi,
Kwang Y. Lee, “PSS design for damping of
inter-area power oscillations by coherencybased
equivalent model”, International
Journal of Electrical Power and Energy
Systems, vol. 26, no. 7, pp. 535-544, 2004.
[8] P. Kundur, M. Klein, G.J. Rogers, M.S.
Zywno, “Application of power system
stabilizers for enhancement of overall system
stability”, IEEE Trans. on Power System, vol.
4, no. 2, pp. 614-626, 1989.
[9] A. J. F. Keri, X. Lombard, A. A. Edris,
“Unified power flow controller: modeling and
analysis”, IEEE Trans. on Power Systems, vol.
14, no. 2, pp. 648-654, 1999.
[10] M. R. Banaei, A. Kami, “Interline power flow
controller (IPFC) based damping recurrent
neural network controllers for enhancing
stability”, Energy Conversion and
Management, vol. 52, no.7, pp. 2629-2636,
[11] L. Gyugyi, C.D. Schauder, S. L. Williams, T.
R. Rietman, D. R. Torgerson, A. Edris, “The
unified power flow controller: a new approach
to power transmission control”, IEEE Trans.
on Power Delivery, vol. 10, no. 2, pp.1085-
1097, 1995.
[12] L. Gyugyi, “A unified power flow control
concept for flexible AC transmission systems”,
IEE Proceedings -Generation Transmission
Distribution, vol. 139, no. 4, pp. 323-333,
[13] A. Nabavi-Niaki, M.R. Iravani, “Steady-state
and dynamic models of unified power flow
controller (UPFC) for power system studies”,
IEEE Trans. on Power Systems, vol. 11, no. 4,
pp. 1937-1943, 1996
[14] P. C. Stefanov, A. M. Stankovic, “Modeling of
UPFC operation under unbalanced conditions
with dynamic phasors”, IEEE Trans. on Power
Systems, vol. 17, no. 2, pp. 395-403, 2002.
[15] H.F. Wang, “Damping function of unified
power flow controller”, IEE Proceedings-
Generation Transmission Distribution, vol.
146, no. 1, pp. 81-87, 1999.
[16] H. F. Wang, “Application of modeling UPFC
into multi-machine power systems”, IEE
Proceedings– Generation Transmission
Distribution, vol. 146, no. 3, pp. 306-312,
[17] K.R. Padiyar, A.M. Kulkarni, “Control design
and simulation of unified power flow
controller”, IEEE Trans. on Power Delivery,
vol. 13, no. 4, pp. 1348 1354, 1997.
[18] E. Uzunovic, C.A. Canizares, J. Reeve,
“EMTP studies of UPFC power oscillation
damping”, Proc. of the North American Power
Symposium, pp. 405-410, 1999.
[19] N. Mithulananthan, C. Canizares, J. Reeve, G.
Rogers, “Comparison of PSS, SVC, and
STATCOM for damping power system
oscillations”, IEEE Trans. on Power Systems,
vol. 18, no. 3, pp. 786-792, 2003.
[20] R.K. Pandey, N.K. Singh, “Minimum singular
value based identification of UPFC control
parameters”, Proc. of IEEE Region 10
Conference, pp. 1-4, 2006.
[21] A.K. Baliarsingh, S. Panda, A.K. Mohanty, C.
Ardil, “UPFC supplementary controller design
using real-coded genetic algorithm for
damping low frequency oscillations in power
systems”, International Journal of Electrical
Power and Energy Systems Engineering, vol.
3, no.4, pp. 165-175, 2010.
[22] M. Tripathy, S. Mishra, G.K.
Venayagamoorthy, “Bacteria foraging: a new
tool for simultaneous robust design of UPFC
controllers”,Proc. of theInternational Joint
Conference on Neural Networks, pp. 2274-
2280, 2006.
[23] Y. Lee, S. Yung, “STATCOM controller design
for power system stabilization with suboptimal
control strip pole assignment”,
International Journal of Electrical Power and
Energy Systems, vol. 24, no. 9, pp. 771-779,
[24] A. Ajami,R. Gholizadeh, “Optimal design of
UPFC-based damping controller using
imperialist competitive algorithm”, Turkish
Journal of Electrical Engineering and Computer

[25] A. Ajami, H. Asadzadeh, “Damping of Power
System Oscillations Using UPFC Based
Multipoint Tuning AIPSO-SA Algorithm”, Gazi
University Journal of Science, vol. 24, no. 4,pp.
791-804, 2011.
[26] J. Kennedy, R.C. Eberhart, “Particle swarm
optimization”, Proc. of IEEE International
Conference on Neural Networks, pp. 1942–
1948, 1995.
[27] E. Rashedi, S. Nezamabadi, S. Saryazdi,
“GSA: a gravitational search algorithm”,
Information Sciences, vol. 179, no. 13, pp.
2232–2248, 2009.
[28] A.A. Atapour, A. Ghanizadeh, S.M.
Shamsuddin,“Advances of Soft Computing
Methods in Edge Detection”, International
Center for Scientific Research and Studies,
vol. 1. no. 2, pp162–202, 2009.
[29] E. Rashedi, H. Nezamabadi-pour, S. Saryazdi,
“BGSA: binary gravitational search
algorithm”, Natural Computingvol. 9, no. 3,pp.
727–745, 2009.
[30] S. Sinaie, “Solving shortest path problem using
Gravitational Search Algorithm and Neural
Networks”, Universiti Teknologi Malaysia
(UTM), Joho r Bahru, Malaysia, M.Sc. Thesis
[31] S. Mirjalili and S.Z. Mohd Hashim, “A New
Hybrid PSOGSA Algorithm for Function
Optimization”, Proc. of theInternational
Conference on Computer and Information
Application(ICCIA), pp. 374-377, 2010.
[32] M.A. Abido, A.T. Al-Awami, Y.L. Abdel-
Magid, “Power system stability enhancement
using simultaneous design of damping
controllers and internal controllers of a unified
power flow controller”, IEEE PES General
Meeting, 2006.