A PSO-based SSSC Controller for Improvement of Transient Stability Performance
The application of a Static Synchronous Series Compensator (SSSC) controller to improve the transient stability performance of a power system is thoroughly investigated in this paper. The design problem of SSSC controller is formulated as an optimization problem and Particle Swarm Optimization (PSO) Technique is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor angle of the generator is involved; transient stability performance of the system is improved. The proposed controller is tested on a weakly connected power system subjected to different severe disturbances. The non-linear simulation results are presented to show the effectiveness of the proposed controller and its ability to provide efficient damping of low frequency oscillations. It is also observed that the proposed SSSC controller improves greatly the voltage profile of the system under severe disturbances.
[1] P. Kundur, "Power system stability and control", McGraw-Hill, 1994.
[2] N. G. Hingorani and L. Gyugyi, "Understanding FACTS: concepts and
technology of flexible AC transmission systems", IEEE Press, New York,
2000.
[3] L. Gyugyi, C. D. Schauder and K. K. Sen , "Static synchronous series
compensator: a solid-state approach to the series compensation of
transmission lines," IEEE Transactions on Power Delivery, vol. 12, no.
1, pp. 406-17, Jan. 1997.
[4] H. F. Wang, "Static synchronous series compensator to damp power
system oscillations," Electric Power Systems Research, vol. 54, pp. 113-
119, 2000.
[5] K R Padiyar and K Uma Rao, "Discrete control of series compensation
for stability improvement in power systems," Electrical Power & Energy
Systems, vol. 19, no. 5, pp. 311-319, 1997.
[6] R. Mihalic and I. Papic, "Static synchronous series compensatorÔÇöa
mean for dynamic power flow control in electric power systems,"
Electric Power Systems Research, vol. 45, pp. 65-72, 1998.
[7] D. Menniti, A. Pinnarelli, N. Scordino and N. Sorrentino, "Using a
FACTS device controlled by a decentralised control law to damp the
transient frequency deviation in a deregulated electric power system,"
Electric Power Systems Research, vol. 72 pp. 289-298, 2004.
[8] I. Ngamroo, J. Tippayachai and S. Dechanupaprittha, "Robust
decentralised frequency stabilisers design of static synchronous series
compensators by taking system uncertainties into consideration,"
Electrical Power and Energy Systems vol. 28, pp. 513-524, 2006.
[9] F. A. R. Al Jowder and B. T. Ooi, "Series Compensation of Radial
Power System by a Combination of SSSC and Dielectric Capacitors,"
IEEE Transactions on Power Delivery, vol. 20, no. 1, pp.,pp458-465,
January 2005.
[10] F. A. R. Al Jowder, "Influence of Mode of Operation of the SSSC on the
Small Disturbance and Transient Stability of a Radial Power System,"
IEEE Transactions onPower Systems, vol. 20, no. 2, pp935-942, May
2005.
[11] M.S. Castro, H.M. Ayres, V.F. da Costa and L.C.P. da Silva, "Impacts of
the SSSC control modes on small-signal transient stability of a power
system," Electric Power Systems Research, vol. 77, pp. 1-9, 2007.
[12] Y.L.Abdel-Magid and M.A.Abido, "Robust coordinated design of
excitation and TCSC-based stabilizers using genetic algorithms,
International Journal of Electrical Power & Energy Systems, vol. 69, no.
2-3, pp. 129-141. 2004.
[13] J.Kennedy and R.C.Eberhart, "Particle swarm optimization", Proc. IEEE
Int'l. Conf. on Neural Networks, IV, 1942-1948. Piscataway, NJ, IEEE
Service Center, 1995.
[14] PSO Tutorial, http://www.swarmintelligence.org/tutorials.php
[15] SimPowerSystems 4.3 User-s Guide,
Available: http://www.mathworks.com/products/simpower/
[16] J.Kennedy and R.Eberhart, Swarm intelligence, Academic press, 1 st ed.
San Diego, CA., 2001.
[17] Z.L.Gaing, "A particle swarm optimization approach for optimum design
of PID controller in AVR system", IEEE Transaction on Energy
Conversions, vol. 9, no. 2, pp. 384-391, 2004.
[18] B.Birge, "Particle swarm optimization toolbox",
Available:http://www.mathworks.com/matlabcentral/fileexchange/
[1] P. Kundur, "Power system stability and control", McGraw-Hill, 1994.
[2] N. G. Hingorani and L. Gyugyi, "Understanding FACTS: concepts and
technology of flexible AC transmission systems", IEEE Press, New York,
2000.
[3] L. Gyugyi, C. D. Schauder and K. K. Sen , "Static synchronous series
compensator: a solid-state approach to the series compensation of
transmission lines," IEEE Transactions on Power Delivery, vol. 12, no.
1, pp. 406-17, Jan. 1997.
[4] H. F. Wang, "Static synchronous series compensator to damp power
system oscillations," Electric Power Systems Research, vol. 54, pp. 113-
119, 2000.
[5] K R Padiyar and K Uma Rao, "Discrete control of series compensation
for stability improvement in power systems," Electrical Power & Energy
Systems, vol. 19, no. 5, pp. 311-319, 1997.
[6] R. Mihalic and I. Papic, "Static synchronous series compensatorÔÇöa
mean for dynamic power flow control in electric power systems,"
Electric Power Systems Research, vol. 45, pp. 65-72, 1998.
[7] D. Menniti, A. Pinnarelli, N. Scordino and N. Sorrentino, "Using a
FACTS device controlled by a decentralised control law to damp the
transient frequency deviation in a deregulated electric power system,"
Electric Power Systems Research, vol. 72 pp. 289-298, 2004.
[8] I. Ngamroo, J. Tippayachai and S. Dechanupaprittha, "Robust
decentralised frequency stabilisers design of static synchronous series
compensators by taking system uncertainties into consideration,"
Electrical Power and Energy Systems vol. 28, pp. 513-524, 2006.
[9] F. A. R. Al Jowder and B. T. Ooi, "Series Compensation of Radial
Power System by a Combination of SSSC and Dielectric Capacitors,"
IEEE Transactions on Power Delivery, vol. 20, no. 1, pp.,pp458-465,
January 2005.
[10] F. A. R. Al Jowder, "Influence of Mode of Operation of the SSSC on the
Small Disturbance and Transient Stability of a Radial Power System,"
IEEE Transactions onPower Systems, vol. 20, no. 2, pp935-942, May
2005.
[11] M.S. Castro, H.M. Ayres, V.F. da Costa and L.C.P. da Silva, "Impacts of
the SSSC control modes on small-signal transient stability of a power
system," Electric Power Systems Research, vol. 77, pp. 1-9, 2007.
[12] Y.L.Abdel-Magid and M.A.Abido, "Robust coordinated design of
excitation and TCSC-based stabilizers using genetic algorithms,
International Journal of Electrical Power & Energy Systems, vol. 69, no.
2-3, pp. 129-141. 2004.
[13] J.Kennedy and R.C.Eberhart, "Particle swarm optimization", Proc. IEEE
Int'l. Conf. on Neural Networks, IV, 1942-1948. Piscataway, NJ, IEEE
Service Center, 1995.
[14] PSO Tutorial, http://www.swarmintelligence.org/tutorials.php
[15] SimPowerSystems 4.3 User-s Guide,
Available: http://www.mathworks.com/products/simpower/
[16] J.Kennedy and R.Eberhart, Swarm intelligence, Academic press, 1 st ed.
San Diego, CA., 2001.
[17] Z.L.Gaing, "A particle swarm optimization approach for optimum design
of PID controller in AVR system", IEEE Transaction on Energy
Conversions, vol. 9, no. 2, pp. 384-391, 2004.
[18] B.Birge, "Particle swarm optimization toolbox",
Available:http://www.mathworks.com/matlabcentral/fileexchange/
@article{"International Journal of Electrical, Electronic and Communication Sciences:52773", author = "Sidhartha Panda and N. P. Padhy", title = "A PSO-based SSSC Controller for Improvement of Transient Stability Performance", abstract = "The application of a Static Synchronous Series Compensator (SSSC) controller to improve the transient stability performance of a power system is thoroughly investigated in this paper. The design problem of SSSC controller is formulated as an optimization problem and Particle Swarm Optimization (PSO) Technique is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor angle of the generator is involved; transient stability performance of the system is improved. The proposed controller is tested on a weakly connected power system subjected to different severe disturbances. The non-linear simulation results are presented to show the effectiveness of the proposed controller and its ability to provide efficient damping of low frequency oscillations. It is also observed that the proposed SSSC controller improves greatly the voltage profile of the system under severe disturbances.
", keywords = "Particle swarm optimization, transient stability,
power system oscillations, SSSC.", volume = "1", number = "9", pages = "1253-8", }
