Advanced SearchSearch Tips
Strategy based PSO for Dynamic Control of UPFC to Enhance Power System Security
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Strategy based PSO for Dynamic Control of UPFC to Enhance Power System Security
Mahdad, Belkacem; Bouktir, T.; Srairi, K.;
  PDF(new window)
Penetration and installation of a new dynamic technology known as Flexible AC Transmission Systems (FACTS) in a practical and dynamic network requires and force expert engineer to develop robust and flexible strategy for planning and control. Unified Power Flow Controller (UPFC) is one of the recent and effective FACTS devices designed for multi control operation to enhance the power system security. This paper presents a dynamic strategy based on Particle Swarm Optimization (PSO) for optimal parameters setting of UPFC to enhance the system loadability. Firstly, we perform a multi power flow analysis with load incrementation to construct a global database to determine the initial efficient bounds associated to active power and reactive power target vector. Secondly a PSO technique applied to search the new parameters setting of the UPFC within the initial new active power and reactive power target bounds. The proposed approach is implemented with Matlab program and verified with IEEE 30-Bus test network. The results show that the proposed approach can converge to the near optimum solution with accuracy, and confirm that flexible multi-control of this device coordinated with efficient location enhance the system security of power system by eliminating the overloaded lines and the bus voltage violation.
Dynamic control;System loadability;FACTS;UPFC;PSO;Optimal power flow;Parameters setting;Multi control;Planning and control;
 Cited by
A Study on Multi-objective Optimal Power Flow under Contingency using Differential Evolution,Mahdad, Belkacem;Srairi, Kamel;

Journal of Electrical Engineering and Technology, 2013. vol.8. 1, pp.53-63 crossref(new window)
Security optimal power flow considering loading margin stability using hybrid FFA–PS assisted with brainstorming rules, Applied Soft Computing, 2015, 35, 291  crossref(new windwow)
Video Superresolution via Parameter-Optimized Particle Swarm Optimization, Mathematical Problems in Engineering, 2014, 2014, 1  crossref(new windwow)
Optimal location and control of combined SVC–TCSC controller to enhance power system loadability, International Journal of System Assurance Engineering and Management, 2014, 5, 3, 427  crossref(new windwow)
A Study on Multi-objective Optimal Power Flow under Contingency using Differential Evolution, Journal of Electrical Engineering and Technology, 2013, 8, 1, 53  crossref(new windwow)
H. I. Shaheen, G. I. Rashed, and S. J. Cheng, 'Optimal location and parameter setting of unified power flow controller based on evolutionary optimization technique,' In Proce. 2007 IEEE Power Engineering Society General Meeting, pp. 1-8

N. G. Hingoran, 'High power electronics and flexible AC transmission system', IEEE power engineering review, pp. 3-4, July 1988

R. C. Bansal, 'Otimization methods for electric power systems: an overview,' International Journal of Emerging Electric Power Systems, vol. 2, no. 1, pp. 1-23, 2005

E. Acha, C. R. Fuerte-Esquivel, H. Ambriz-Perez and C. Angeles-Camacho: FACTS, Modelling and simulation in power network, Chichester, Englnad: Jhon Wily and Sons, 2004

B. Mahdad, T. Bouktir, K. Srairi, 'OPF with Environmental Constraints with SVC Controller using Decomposed Parallel GA: Application to the Algerian Network' Journal of Electrical Engineering & Technology, Korea, vol. 4, no.1, pp. 55-65, March 2009 crossref(new window)

J. Kennedy and R. Eberhart, 'Partilce swarm optimization,' Proceedings of IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948, Perth, Australia, 1995 crossref(new window)

R. C. Eberhart and Y. Shi, 'Particle swarm optimization: developments, applications and ressources,' in Proc. 2001 Congr. Evolutionary Computation, vol. 1, 2001

M. Saravanan et al. 'Application of particle swarm optimization technique for optimal location of FACTS devices considering cost of installation and system loadability, ' Electric Power System Research (2007)

S. Gerbex, R. Cherkaoui, A. J. Germond, 'Optimal location of multi-type FACTS devices in a power system by means of gentic algorithm,' IEEE Trans. Power Systems, vol. 16, pp. 537-544, 2001 crossref(new window)

P. Preedavinchit, S. C. Srivastrava, 'Optimal reactive power dispatch considering FACTS devices,' Electric Power System Research, vol. 46, no.3, pp. 251-257, 1998 crossref(new window)

H. Besharat, S. A. Taher, 'Congestion mnagement by determining optimal location of TCSC in deregulated power systems,' Electric Power and Energy Systems, Paper in Press, 2008

G. I. Rashed, H. I. Shaheen, and S. J. Cheng, 'Evolutionary optimization techniques for optimal location and parameter setting of TCSC under single line contingency,' Applied Mathematics and computation, Paper in Press, 2008

K. P. Wang, J. Yirevich, and A. Li, 'Evolutionaryprogramming-based load flow algorithm for systems containing unified power flow controllers, ' IEE proc. Gener. Transm. Distrib., vol. 150, no. 4, pp. 441-446, 2003 crossref(new window)

C. R. Feurt-Esquivel, E. Acha, Tan SG, JJ. Rico, 'Efficient object oriented power systems software for the analysis of large-scale networks containing FACTS controlled branches,' IEEE Trans. Power Systems, vol. 13, no. 2, pp. 464-472, May 1998 crossref(new window)

J. Robinson, and Y. Rahmat-Samii, 'Particle swarm optimization in electromagnetics,' IEEE Trans. Antennas and propagation, vol. 52, no. 2, pp. 397-407, February 2004 crossref(new window)

A A. Esmin, G. Lambert-Torres, and A. C. Zambroni de souza, 'A Hybrid particle swarm optimization applied to loss power minimization,' IEEE Trans. Power Systems, vol. 20, no. 2, pp. 859-866, May 2005 crossref(new window)