Optimal Locati on and Sizing of Static Var Compensator (SVC) by Particle Swarm Optimization (PSO) Technique for Voltage Stability Enhancement and Power Loss Minimization

  ijett-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2013 by IJETT Journal
Volume-4 Issue-6                      
Year of Publication : 2013
Authors : Mr.Vinod K. Shende , Prof.P.P.Jagtap

Citation 

Mr.Vinod K. Shende , Prof.P.P.Jagtap. "Optimal Locati on and Sizing of Static Var Compensator (SVC) by Particle Swarm Optimization (PSO) Technique for Voltage Stability Enhancement and Power Loss Minimization". International Journal of Engineering Trends and Technology (IJETT). V4(6):2278-2282 Jun 2013. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group.

Abstract

In recent years, the transmission lines are operated under the heavily stressed condition, hence there is a risk of consequent volta ge instability in the power network. There is a multi - functional control device which can be effectively control the load flow distribution and the power transfer capability is the flexible alternating current transmission system (FACTS) device. The facts device performance is depend upon its location and parameter se tting. In this paper the optimal location and optimal sizing of static var compensator (SVC) is studied on the basis of particle swarm optimization (PSO) technique to minimize load voltage magn itude deviations and network losses using particle swarm optimization have been presented . Particle swarm optimization (PSO) is one of the artificial intelligent search approaches which have the potential to solve such problems. For this study, static var compensator (SVC) is chosen as the compensator device. Validation through the implementation on the IEEE 14 bus system shows that the PSO is found feasible to achieve the task.

References

[1] Jing Zhang,J.Y. Wen, S.J. Cheng, and Jia Ma , “ A Novel SVC Allocation Method for Power System Voltage Stability Enhancement by Normal Forms of Diffeomorphism ,” IEEE Trans . on power System, Vol.22,No.4,pp1819 - 1825,Nov.2007.
[2] C.R.Fuerte - Esquivel and E.Acha, and H.Ambriz - Perez , “ A Thyristor Control led Series Compensator Model for the Pow er Flow Solution of Practical Power Network ,” IEEE Trans. Power system, Vol.15,No.1,pp 58 - 64, Feb - 2000.
[3] M.A.Abdel Moamen, P.P.Narayana , “ Newton - Raphson TCSC Model for the Power flow Solution Of Practical Power Networks ,” IEEE Power Engineering Societ y Summer Meeting, Vol.3,pp 1488 - 1493,2002.
[4] M.Saravanam, etal, “ Application of PSO Technique for optimal Location of FACTS Devices Considering System Loadability and Cost of Installation, ” Power Engineering conference, Vol.2 pp.716 - 721 29 Nov - 2Dec.2005.
[5] Y.Mansour et al. “ SVC Placement Using Critical Modes of Voltage Instability ,” IEEE Trans. On power System, Vol.9,no.2, pp.757 - 763, May 1994.
[6] J.Kennedy and R Eberhart, “ Particle Swarm optimization, ” proc. IEEE Int. Conf.Neural Networks, Vol 4 , p p 1942 - 1948, 1995.
[7] Park, K. Lee, Shin, and K. Y. Lee, " A Particle Swarm Optimiza tion for Economic Dispatch with Non smooth Cost Function, " IEEE Trans. on Power Systems, Vol. 20, No.1, pp. 34 - 42, Feb. 2005.
[8] Kundur, Paserba, V. Ajjarapu, G. Anderss on, A. Bose, C.A. Canizares, N. Hatziarg Y fiou, D. Hill, A. Stankovic, C. Taylor, T. Van Cutsem, and V. Vittal, " Definition and Classification of Power Systeln Stability ," IEEE Trans. O n Power Systems, Vol. 19, No.2, pp.1387 - 1401, May 2004.
[9] A.K. Sharma , " Optimal Number and Location of TCSC and Loadability Enhancement in Deregulated Electricity Markets Using MINLP ," International Journal of Emerging Electric Power Systems, Vol. 5, Issue 1, Article 6, 2006.
[10] H Yoshida, Y. Fukuyama, " A Particle Swarm O ptimization for Reactive Power and Voltage Control Considering Voltage Security Assessment ," IEEE Trans. On Power Systems, Vol. 15,No.4, pp.1232 - 1239, Nov. 2001.
[11] G.I.Rashed, H.I.Shaheed,S.J.Cheng, “ optimal location and Parameter setting of TCSC by Both Genetic Algorithm and Partical swarm Optimization .” IEEE Trans. On power systems ,Vol.1,pp.1141 - 1147. 2007.
[12] R. Minguez, F. Milano, R. Zarate - Mifiano, A. 1. Conejo," Optimal Network Placement of S VC Devices, " IEEE Trans. On Power Systems, Vo1.22, No.4, Nov. 2007.

Keywords
FACTS Device, optimal location and sizing, Particle swarm optimizat ion (PSO), Voltage deviation, power loss, Static var compensator (SVC) etc