Small Signal Stability Assessment Employing PSO Based TCSC Controller with Comparison to GA Based Design
This paper aims to select the optimal location and
setting parameters of TCSC (Thyristor Controlled Series
Compensator) controller using Particle Swarm Optimization (PSO)
and Genetic Algorithm (GA) to mitigate small signal oscillations in a
multimachine power system. Though Power System Stabilizers
(PSSs) are prime choice in this issue, installation of FACTS device
has been suggested here in order to achieve appreciable damping of
system oscillations. However, performance of any FACTS devices
highly depends upon its parameters and suitable location in the
power network. In this paper PSO as well as GA based techniques are
used separately and compared their performances to investigate this
problem. The results of small signal stability analysis have been
represented employing eigenvalue as well as time domain response in
face of two common power system disturbances e.g., varying load
and transmission line outage. It has been revealed that the PSO based
TCSC controller is more effective than GA based controller even
during critical loading condition.
[1] P. Kundur, Power System Stability and Control. New York: McGraw-
Hill, 1994.
[2] E.V. Larsen and D. A. Swann, " Applying power system stabilizer, Part
1: General concept, Part II: Performance objective and tuning concept,
Part III: Practical considerations," IEEE Trans on Power Apparatus and
Systems, vol. 100, no. 12, pp. 3017-3046, 1981.
[3] P. Kundur, M. Klein, G. J. Rogers and M. S. Zywno, "Application of
power system stabilizers for enhancement of overall system stability,"
IEEE Trans on Power Systems, vol. 4, no. 2, pp. 614-626, 1989.
[4] N.G. Hingorani and L. Gyugyi, Understanding FACTS: Concepts and
technology of Flexible AC Transmission System. New York, USA: IEEE
Press, 2000.
[5] R. K. Pandey and N. K. Singha, "UPFC control parameter identification
for effective power oscillation damping," Int. Journal of Electrical
Power and Energy Systems, vol. 31, no. 6, pp. 269-276, 2009.
[6] M. O. Hassan, Z. A. Zakaria and S.J . Cheng, "Impact of TCSC on
enhancing power system stability," in Proc. APPEEC 2009, IEEE
Power and Energy Conference, pp. 1-6.
[7] A. D. Rosso, C. A. Ca├▒izares and V. M. Do├▒a, "A study of TCSC
controller design for power system stability improvement," IEEE Trans
on Power Systems, vol. 18, no. 4, pp. 1487-1496, 2003.
[8] H. Besharat and S. A. Taher, "Congestion management by determining
optimal location of TCSC in deregulated power systems," Int. Journal of
Electrical Power and Energy Systems, vol. 30, no. 10, pp. 563-568,
2008.
[9] El. MM. Metwally, El. AA. Emary, El. FM. Bendary and M. I. Mosaad,
"Optimal allocation of FACTS devices in power system using genetic
algorithms," in Proc. MEPCON 2008, IEEE conference, pp. 1-4.
[10] C. T. TSE and S. K. TSO, "Refinement of conventional PSS design in
multimachine system by modal analysis," IEEE Trans on Power
Systems, vol. 8, no. 2, pp. 598-605, 1993.
[11] Y. L. Abdel-Magid and M. A. Abido, "Robust tuning of power system
stabilizers in multimachine power systems," IEEE Trans on Power
Systems, vol. 15, no. 2, pp. 735-740, 2000.
[12] S. K. Wang, J. P. Chiou and C.W. Liu, "Parameters tuning of power
system stabilizers using improved ant direction hybrid differential
evolution," International Journal of Electrical Power and Energy
Systems, vol 31, no. 1, pp. 34-42, 2009.
[13] H-E. A. Talat, A. Abdennour and A. A. Al-Sulaiman, "Design and
experimental investigation of a decentralized GA-optimized neuro-fuzzy
power system stabilizer," International Journal of Electrical Power and
Energy Systems, vol. 32, no. 7, pp. 751-759, 2010.
[14] J. Kennedy and R. Eberhart, "Particle Swarm Optimization," in 1995
Proc. IEEE International Conference on Neural Networks, vol. 4, pp.
1942-1948.
[15] S. Panda and N. P. Padhy, "A PSO-based SSSC controller for
improvement of transient stability performance," International Journal
of Intelligent Systems and Technologies, vol. 2, no. 1, pp. 28-35, 2007.
[16] M. A. Abido, A. T. Al-Awami and Y. L. Abdel-Magid, "Analysis and
design of UPFC damping stabilizers for power system stability
enhancement," IEEE Inter Symposium on Industrial Electronics, vol. 3,
pp. 2040-2045, 2006.
[17] S. Panda, N. P. Padhy and R. N. Patel, "Modelling, simulation and
optimal tuning of TCSC controller," International Journal Simulation
model, vol. 6, no. 1, pp. 37-48, 2007.
[18] C. R. Fuerte-Esquivel, E. Acha and H. Ambriz-Pe'rez, "A thyristor
controlled series compensator model for the power flow solution of
practical power networks," IEEE Trans on power systems, vol. 15, no.
1, pp. 58-64, 2000.
[19] P. W. Sauer and M. A. Pai, Power system dynamics and stability,
Singapore: Pearson Education Pte Ltd, 1998.
[20] B. Birge, "Particle Swarm Optimization Toolbox," Available at
www.mathworks.com/matlabcentral.
[21] D. Goldberg, Genetic algorithms in search, optimization and machine
learning, Addison-Wesley, 1989.
[22] S. K. M. Kodsi and C. A. Canizares, Modeling and simulation of IEEE
14 Bus systems with FACTS controllers, Technical Report #2003-3,
University of Waterloo, pp. 1-46, 2003. Available at
http://www.uwaterloo.ca.
[1] P. Kundur, Power System Stability and Control. New York: McGraw-
Hill, 1994.
[2] E.V. Larsen and D. A. Swann, " Applying power system stabilizer, Part
1: General concept, Part II: Performance objective and tuning concept,
Part III: Practical considerations," IEEE Trans on Power Apparatus and
Systems, vol. 100, no. 12, pp. 3017-3046, 1981.
[3] P. Kundur, M. Klein, G. J. Rogers and M. S. Zywno, "Application of
power system stabilizers for enhancement of overall system stability,"
IEEE Trans on Power Systems, vol. 4, no. 2, pp. 614-626, 1989.
[4] N.G. Hingorani and L. Gyugyi, Understanding FACTS: Concepts and
technology of Flexible AC Transmission System. New York, USA: IEEE
Press, 2000.
[5] R. K. Pandey and N. K. Singha, "UPFC control parameter identification
for effective power oscillation damping," Int. Journal of Electrical
Power and Energy Systems, vol. 31, no. 6, pp. 269-276, 2009.
[6] M. O. Hassan, Z. A. Zakaria and S.J . Cheng, "Impact of TCSC on
enhancing power system stability," in Proc. APPEEC 2009, IEEE
Power and Energy Conference, pp. 1-6.
[7] A. D. Rosso, C. A. Ca├▒izares and V. M. Do├▒a, "A study of TCSC
controller design for power system stability improvement," IEEE Trans
on Power Systems, vol. 18, no. 4, pp. 1487-1496, 2003.
[8] H. Besharat and S. A. Taher, "Congestion management by determining
optimal location of TCSC in deregulated power systems," Int. Journal of
Electrical Power and Energy Systems, vol. 30, no. 10, pp. 563-568,
2008.
[9] El. MM. Metwally, El. AA. Emary, El. FM. Bendary and M. I. Mosaad,
"Optimal allocation of FACTS devices in power system using genetic
algorithms," in Proc. MEPCON 2008, IEEE conference, pp. 1-4.
[10] C. T. TSE and S. K. TSO, "Refinement of conventional PSS design in
multimachine system by modal analysis," IEEE Trans on Power
Systems, vol. 8, no. 2, pp. 598-605, 1993.
[11] Y. L. Abdel-Magid and M. A. Abido, "Robust tuning of power system
stabilizers in multimachine power systems," IEEE Trans on Power
Systems, vol. 15, no. 2, pp. 735-740, 2000.
[12] S. K. Wang, J. P. Chiou and C.W. Liu, "Parameters tuning of power
system stabilizers using improved ant direction hybrid differential
evolution," International Journal of Electrical Power and Energy
Systems, vol 31, no. 1, pp. 34-42, 2009.
[13] H-E. A. Talat, A. Abdennour and A. A. Al-Sulaiman, "Design and
experimental investigation of a decentralized GA-optimized neuro-fuzzy
power system stabilizer," International Journal of Electrical Power and
Energy Systems, vol. 32, no. 7, pp. 751-759, 2010.
[14] J. Kennedy and R. Eberhart, "Particle Swarm Optimization," in 1995
Proc. IEEE International Conference on Neural Networks, vol. 4, pp.
1942-1948.
[15] S. Panda and N. P. Padhy, "A PSO-based SSSC controller for
improvement of transient stability performance," International Journal
of Intelligent Systems and Technologies, vol. 2, no. 1, pp. 28-35, 2007.
[16] M. A. Abido, A. T. Al-Awami and Y. L. Abdel-Magid, "Analysis and
design of UPFC damping stabilizers for power system stability
enhancement," IEEE Inter Symposium on Industrial Electronics, vol. 3,
pp. 2040-2045, 2006.
[17] S. Panda, N. P. Padhy and R. N. Patel, "Modelling, simulation and
optimal tuning of TCSC controller," International Journal Simulation
model, vol. 6, no. 1, pp. 37-48, 2007.
[18] C. R. Fuerte-Esquivel, E. Acha and H. Ambriz-Pe'rez, "A thyristor
controlled series compensator model for the power flow solution of
practical power networks," IEEE Trans on power systems, vol. 15, no.
1, pp. 58-64, 2000.
[19] P. W. Sauer and M. A. Pai, Power system dynamics and stability,
Singapore: Pearson Education Pte Ltd, 1998.
[20] B. Birge, "Particle Swarm Optimization Toolbox," Available at
www.mathworks.com/matlabcentral.
[21] D. Goldberg, Genetic algorithms in search, optimization and machine
learning, Addison-Wesley, 1989.
[22] S. K. M. Kodsi and C. A. Canizares, Modeling and simulation of IEEE
14 Bus systems with FACTS controllers, Technical Report #2003-3,
University of Waterloo, pp. 1-46, 2003. Available at
http://www.uwaterloo.ca.
@article{"International Journal of Electrical, Electronic and Communication Sciences:58286", author = "D. Mondal and A. Chakrabarti and A. Sengupta", title = "Small Signal Stability Assessment Employing PSO Based TCSC Controller with Comparison to GA Based Design", abstract = "This paper aims to select the optimal location and
setting parameters of TCSC (Thyristor Controlled Series
Compensator) controller using Particle Swarm Optimization (PSO)
and Genetic Algorithm (GA) to mitigate small signal oscillations in a
multimachine power system. Though Power System Stabilizers
(PSSs) are prime choice in this issue, installation of FACTS device
has been suggested here in order to achieve appreciable damping of
system oscillations. However, performance of any FACTS devices
highly depends upon its parameters and suitable location in the
power network. In this paper PSO as well as GA based techniques are
used separately and compared their performances to investigate this
problem. The results of small signal stability analysis have been
represented employing eigenvalue as well as time domain response in
face of two common power system disturbances e.g., varying load
and transmission line outage. It has been revealed that the PSO based
TCSC controller is more effective than GA based controller even
during critical loading condition.", keywords = "Genetic Algorithm, Particle Swarm Optimization,Small Signal Stability, Thyristor Controlled Series Compensator.", volume = "5", number = "8", pages = "1053-8", }
