Voltage Stability Enhancement Using Cat Swarm Optimization Algorithm
Optimal Power Flow (OPF) problem in electrical power system is considered as a static, non-linear, multi-objective or a single objective optimization problem. This paper presents an algorithm for solving the voltage stability objective reactive power dispatch problem in a power system .The proposed approach employs cat swarm optimization algorithm for optimal settings of RPD control variables. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. CSO algorithm is tested on standard IEEE 30 bus system and the results are compared with other methods to prove the effectiveness of the new algorithm. As a result, the proposed method is the best for solving optimal reactive power dispatch problem.
[1] S. Durairaj, D. Devaraj, P. S. Kannan , "Genetic algorithm applications to optimal reactive power dispatch with voltage stability enhancement’ , IE(I) Journal-EL Vol 87,September 2006.
[2] A. A. Abou El Ela, M. A. Abido, S. R. Spea,” Differential evolution algorithm for optimal reactive power dispatch,” Journal of Electrical Power and Energy Systems Vol. 81,2011, pp 485-464.
[3] Lee K.Y. Park Y.M. and Ortiz J.L. (1985). ‘A United Approach to Optimal Real and Reactive Power Dispatch’, IEEE Trans. On Power Apparatus and Systems, May, Vol.PAS.104, No.5, pp 1147-1153.
[4] Nakhon Ratchasima . Power Loss Minimization Using Optimal Power Flow Based on Particle Swarm Optimization, U. Leeton University of Technology, Thailand 30000.
[5] P.R.Sujin, Dr.T.Ruban Deva Prakash and M.Mary Linda. Particle Swarm Optimization Based Reactive Power Optimization, Journal Of Computing, Volume 2, Issue 1, January 2010, Issn 2151-9617.
[6] Pathak Smita, Prof. B.N.Vaidya "Optimal Power Flow by Particle Swarm Optimization for Reactive Loss Minimization” International Journal of Scientific & Technology Research Volume 1, Issue 1, Feb 2012 ISSN 2277.8616.
[7] John Paul T. Yusiong. "Optimizing Artificial Neural Networks using Cat Swarm Optimization Algorithm’ I.J. Intelligent Systems and Applications, 2013, 01, 69-80.
[8] J.-C. Hwang, J.-C. Chen and J.-S. Pan. CSO and PSO to Solve Optimal Contract Capacity for High Tension Customers. Proceedings of 8th International Conference on Power Electronics and Drive Systems, PEDS-2009, (2009), pp. 76-81.
[9] S-C. Chu and P-W. Tsai. Computational Intelligence based on the Behavior of Cats. International Journal of Innovative Computing, Information and Control, (2007), 3(1), pp. 163-173.
[10] S-C Chu, P-W Tsai and J-S. Pan. Cat Swarm Optimization. Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence, LNAI 4099, Guilin, (2006), pp. 854-858.
[11] John Paul T. Yusiong.’Optimizing Artificial Neural Networks using Cat Swarm Optimization Algorithm’ I.J. Intelligent Systems and Applications, 2013, 01, 69-80.
[12] Deivaseelan.A, PG Student, P.Babu "Modified Cat Swarm Optimization For Iir System Identification”. Advances in Natural and Applied Sciences, 6(6): 731-740, 2012.ISSN 1995-0772.
[13] K. Vaisakh and P. K. Rao, "Differential Evolution based optimal reactive power dispatch for voltage stability enhancement,” Journal of Theoretical and Applied Information Technology, pp. 700-709, 20.
[14] abbas rabiee, maziar vanouni, mostafa parniani, "optimal reactive power dispatch for improving voltage stability margin using a local voltage stability index”, energy conversion and management, vol. 59, pp. 66-73, july 2012. 08.
[1] S. Durairaj, D. Devaraj, P. S. Kannan , "Genetic algorithm applications to optimal reactive power dispatch with voltage stability enhancement’ , IE(I) Journal-EL Vol 87,September 2006.
[2] A. A. Abou El Ela, M. A. Abido, S. R. Spea,” Differential evolution algorithm for optimal reactive power dispatch,” Journal of Electrical Power and Energy Systems Vol. 81,2011, pp 485-464.
[3] Lee K.Y. Park Y.M. and Ortiz J.L. (1985). ‘A United Approach to Optimal Real and Reactive Power Dispatch’, IEEE Trans. On Power Apparatus and Systems, May, Vol.PAS.104, No.5, pp 1147-1153.
[4] Nakhon Ratchasima . Power Loss Minimization Using Optimal Power Flow Based on Particle Swarm Optimization, U. Leeton University of Technology, Thailand 30000.
[5] P.R.Sujin, Dr.T.Ruban Deva Prakash and M.Mary Linda. Particle Swarm Optimization Based Reactive Power Optimization, Journal Of Computing, Volume 2, Issue 1, January 2010, Issn 2151-9617.
[6] Pathak Smita, Prof. B.N.Vaidya "Optimal Power Flow by Particle Swarm Optimization for Reactive Loss Minimization” International Journal of Scientific & Technology Research Volume 1, Issue 1, Feb 2012 ISSN 2277.8616.
[7] John Paul T. Yusiong. "Optimizing Artificial Neural Networks using Cat Swarm Optimization Algorithm’ I.J. Intelligent Systems and Applications, 2013, 01, 69-80.
[8] J.-C. Hwang, J.-C. Chen and J.-S. Pan. CSO and PSO to Solve Optimal Contract Capacity for High Tension Customers. Proceedings of 8th International Conference on Power Electronics and Drive Systems, PEDS-2009, (2009), pp. 76-81.
[9] S-C. Chu and P-W. Tsai. Computational Intelligence based on the Behavior of Cats. International Journal of Innovative Computing, Information and Control, (2007), 3(1), pp. 163-173.
[10] S-C Chu, P-W Tsai and J-S. Pan. Cat Swarm Optimization. Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence, LNAI 4099, Guilin, (2006), pp. 854-858.
[11] John Paul T. Yusiong.’Optimizing Artificial Neural Networks using Cat Swarm Optimization Algorithm’ I.J. Intelligent Systems and Applications, 2013, 01, 69-80.
[12] Deivaseelan.A, PG Student, P.Babu "Modified Cat Swarm Optimization For Iir System Identification”. Advances in Natural and Applied Sciences, 6(6): 731-740, 2012.ISSN 1995-0772.
[13] K. Vaisakh and P. K. Rao, "Differential Evolution based optimal reactive power dispatch for voltage stability enhancement,” Journal of Theoretical and Applied Information Technology, pp. 700-709, 20.
[14] abbas rabiee, maziar vanouni, mostafa parniani, "optimal reactive power dispatch for improving voltage stability margin using a local voltage stability index”, energy conversion and management, vol. 59, pp. 66-73, july 2012. 08.
@article{"International Journal of Electrical, Electronic and Communication Sciences:66678", author = "P. Suryakumari and P. Kantarao", title = "Voltage Stability Enhancement Using Cat Swarm Optimization Algorithm", abstract = "Optimal Power Flow (OPF) problem in electrical power system is considered as a static, non-linear, multi-objective or a single objective optimization problem. This paper presents an algorithm for solving the voltage stability objective reactive power dispatch problem in a power system .The proposed approach employs cat swarm optimization algorithm for optimal settings of RPD control variables. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. CSO algorithm is tested on standard IEEE 30 bus system and the results are compared with other methods to prove the effectiveness of the new algorithm. As a result, the proposed method is the best for solving optimal reactive power dispatch problem.
", keywords = "RPD problem, voltage stability enhancement, CSO algorithm. ", volume = "7", number = "11", pages = "1545-7", }
