Gravitational Search Algorithm (GSA) Optimized SSSC Based Facts Controller to Improve Power System Oscillation Stability
Damping of inter-area electromechanical oscillations is one of the major challenges to the electric power system operators. This paper presents Gravitational Search Algorithm (GSA) for tuning Static Synchronous Series Compensator (SSSC) based damping controller to improve power system oscillation stability. In the proposed algorithm, the searcher agents are a collection of masses which interact with each other based on the Newtonian gravity and the laws of motion. The effectiveness of the scheme in damping power system oscillations during system faults at different loading conditions is demonstrated through time-domain simulation.
[1] P.M. Anderson and A.A. Fouad, "Power system control and stability,” IEEE Press, 1993.
[2] O. I. Elgerd, "Electric energy system Theory,” An Introduction. McGraw-Hill, 1982.
[3] P. Kundur, "1994. Power System Stability and Control,” New York, McGraw-Hill.
[4] N.G. Hingorani and L. Gyugyi, "Understanding FACTS: concepts and technology of flexible ac transmission systems,” IEEE Press, NY. 1999.
[5] L. Gyugyi, "solid state control of electric power in ac transmission system,” int.symp.elect.energy conv.in power syst.invited paper no.tip-4, 1989.
[6] L. Gyugyi, "Dynamic compensation of ac transmission lines by solid-state synchronous voltage sources,”IEEE Trans. Power Delv. 9 (1994) 904–911.
[7] 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 Trans. Power Delv. 12 (1997) 406–417.
[8] K.K. Sen, "SSSC-static synchronous series compensator: theory, modeling, and applications,” IEEE Trans. Power Delv. 13 (1998) 241–246.
[9] S Panda and N.P. Padhy, "Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design,” Appl. Soft Comput. 8 (4) (2008) 1418–1427.
[10] S Panda, N.P. Padhy and R.N.Patel, "Power system stability improvement by PSO optimized SSSC-based damping controller,” Electr. Power Comp. Syst. 36 (5) (2008) 468–490.
[11] S.Panda, "Differential evolutionary algorithm for TCSC-based controller design,”Simulat. Model. Pract. Theory 17 (2009) 1618–1634.
[12] D. E. Goldberg, "Genetic algorithms in search, optimization, and machine learning,” New York: Addison-Wesley.
[13] S. Panda, "Multi-objective evolutionary algorithm for SSSC-based controller design,” Electr. Power Syst. Res. 79 (6) (2009) 937–944.
[14] E. Rashedi, S. Nezamabadi and S. Saryazdi, "GSA: a gravitational search algorithm,” Information Sciences, vol. 179, no. 13, pp. 2232–2248, 2009.
[15] A. Atapour, A. Ghanizadeh and S.M. Shamsuddin, "Advances of Soft Computing Methods in Edge Detection,” International Center for Scientific Research and Studies, vol. 1. no. 2, pp 162–202, 2009.
[16] E. Rashedi, H. Nezamabadi-pou rand S. Saryazdi, "BGSA: binary gravitational search algorithm,” Natural Computing vol. 9, no. 3, pp. 727–745, 2009.
[17] S. Sinaie, "Solving shortest path problem using Gravitational Search Algorithm and Neural Networks,” University Teknologi Malaysia (UTM), Joho r Bahru, Malaysia, M.Sc. Thesis 2010.
[18] Xiaoqing Han, Nahnan Tian and Zhijing Zheng, "Small-Signal Stability Analysis on Power system considering Load Characteristics,” Power and Energy Engineering Conference, APPEEC, Asia-Pacific, 2009, pp.1-4.
[19] John M. Undril, "Dynamic Stability Calculations for an Arbitrary Number of Interconnected Synchronous Machines,” IEEE Trans. On Power Apparatus and Systems, Vol. PAS-87, No. 3, March 1968, pp.835-844.
[20] H.F.Wang, "Damping function of unified power flow controller,”IEE Proc. Gener. Transm. Distrib, Vol. 146, No. 1, January 1999, pp. 81-87.
[21] N.Tambey and M.L.Kothari, "Damping of power system oscillations with unified power flow controller (UPFC),”IEE Proc. Gener. Transm. Distrib, Vol. 150, No. 2, March 2003, pp. 129-140.
[1] P.M. Anderson and A.A. Fouad, "Power system control and stability,” IEEE Press, 1993.
[2] O. I. Elgerd, "Electric energy system Theory,” An Introduction. McGraw-Hill, 1982.
[3] P. Kundur, "1994. Power System Stability and Control,” New York, McGraw-Hill.
[4] N.G. Hingorani and L. Gyugyi, "Understanding FACTS: concepts and technology of flexible ac transmission systems,” IEEE Press, NY. 1999.
[5] L. Gyugyi, "solid state control of electric power in ac transmission system,” int.symp.elect.energy conv.in power syst.invited paper no.tip-4, 1989.
[6] L. Gyugyi, "Dynamic compensation of ac transmission lines by solid-state synchronous voltage sources,”IEEE Trans. Power Delv. 9 (1994) 904–911.
[7] 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 Trans. Power Delv. 12 (1997) 406–417.
[8] K.K. Sen, "SSSC-static synchronous series compensator: theory, modeling, and applications,” IEEE Trans. Power Delv. 13 (1998) 241–246.
[9] S Panda and N.P. Padhy, "Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design,” Appl. Soft Comput. 8 (4) (2008) 1418–1427.
[10] S Panda, N.P. Padhy and R.N.Patel, "Power system stability improvement by PSO optimized SSSC-based damping controller,” Electr. Power Comp. Syst. 36 (5) (2008) 468–490.
[11] S.Panda, "Differential evolutionary algorithm for TCSC-based controller design,”Simulat. Model. Pract. Theory 17 (2009) 1618–1634.
[12] D. E. Goldberg, "Genetic algorithms in search, optimization, and machine learning,” New York: Addison-Wesley.
[13] S. Panda, "Multi-objective evolutionary algorithm for SSSC-based controller design,” Electr. Power Syst. Res. 79 (6) (2009) 937–944.
[14] E. Rashedi, S. Nezamabadi and S. Saryazdi, "GSA: a gravitational search algorithm,” Information Sciences, vol. 179, no. 13, pp. 2232–2248, 2009.
[15] A. Atapour, A. Ghanizadeh and S.M. Shamsuddin, "Advances of Soft Computing Methods in Edge Detection,” International Center for Scientific Research and Studies, vol. 1. no. 2, pp 162–202, 2009.
[16] E. Rashedi, H. Nezamabadi-pou rand S. Saryazdi, "BGSA: binary gravitational search algorithm,” Natural Computing vol. 9, no. 3, pp. 727–745, 2009.
[17] S. Sinaie, "Solving shortest path problem using Gravitational Search Algorithm and Neural Networks,” University Teknologi Malaysia (UTM), Joho r Bahru, Malaysia, M.Sc. Thesis 2010.
[18] Xiaoqing Han, Nahnan Tian and Zhijing Zheng, "Small-Signal Stability Analysis on Power system considering Load Characteristics,” Power and Energy Engineering Conference, APPEEC, Asia-Pacific, 2009, pp.1-4.
[19] John M. Undril, "Dynamic Stability Calculations for an Arbitrary Number of Interconnected Synchronous Machines,” IEEE Trans. On Power Apparatus and Systems, Vol. PAS-87, No. 3, March 1968, pp.835-844.
[20] H.F.Wang, "Damping function of unified power flow controller,”IEE Proc. Gener. Transm. Distrib, Vol. 146, No. 1, January 1999, pp. 81-87.
[21] N.Tambey and M.L.Kothari, "Damping of power system oscillations with unified power flow controller (UPFC),”IEE Proc. Gener. Transm. Distrib, Vol. 150, No. 2, March 2003, pp. 129-140.
@article{"International Journal of Electrical, Electronic and Communication Sciences:66969", author = "Gayadhar Panda and P. K. Rautraya", title = "Gravitational Search Algorithm (GSA) Optimized SSSC Based Facts Controller to Improve Power System Oscillation Stability", abstract = "Damping of inter-area electromechanical oscillations is one of the major challenges to the electric power system operators. This paper presents Gravitational Search Algorithm (GSA) for tuning Static Synchronous Series Compensator (SSSC) based damping controller to improve power system oscillation stability. In the proposed algorithm, the searcher agents are a collection of masses which interact with each other based on the Newtonian gravity and the laws of motion. The effectiveness of the scheme in damping power system oscillations during system faults at different loading conditions is demonstrated through time-domain simulation.
", keywords = "FACTS, Damping controller design, Gravitational search algorithm (GSA), Power system oscillations, Single-machine infinite Bus power system, SSSC. ", volume = "8", number = "2", pages = "408-8", }
