Optimal Placement of FACTS Devices Using Small Population Based Particle Swarm Optimization


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


Voltage profile improvement and loss reduction is an important issue in power system especially under loaded condition. In this paper, two FACTS controllers like Static Var Compensator (SVC), and Thyristor Controlled Series Capacitor (TCSC) are considered for voltage profile improvement and loss reduction. The voltage profile improvement and loss reduction using FACTS devices is a problem of combinatorial non linear optimization. Small population based particle swarm optimization (SPPSO) has been used to solve this combinatorial non linear optimization problem. To enhance the diversity of particle in small population, mutation operator and concept of regeneration is used. The optimizations are performed on two parameters: the location and the values of SVC and TCSC. The proposed method is tested on modified IEEE 30 bus system for two operating conditions. To validate the accuracy of results a comparison with conventional particle swarm optimization (CPSO) has been made. The results show the effectiveness of SPPSO than CPSO in loss reduction and voltage profile improvement.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Power Systems; FACTS Devices; Particle Swarm Optimization

Full Text:

PDF


References


Jizhong Zhu, Kwok Cheung, Davis Hwang, Ali Sadjadpour Operation Strategy for Voltage Profile and Reducing System loss. IEEE Trans on power delivery, vol 25,January 2010, pp 390-397.

C. A. Cañizares, Voltage Stability Assessment, Procedures and Guides.IEEE/Power Power Systems Stability Subcommittee, Draft, Jul. 1999. [Online]. Available: http://www.power.uwaterloo.ca

N.G. Hingurani, L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, IEEE Press, New York, 2000.

F.D. Galiana, K. Almeida, M. Toussaint, J. Griffin, and D. Atanackovic.Assessment and Control of the Impact of FACTS Devices on Power System Performance.IEEE Trans. Power Systems, Vol. 11, No. 4, Nov 1996

S. Gerbex, R. Chekaoui, A.J. Germond, Optimal Location of Multi-type FACTS Devices in a Power System by Means of Genetic Algorithm.IEEE Trans. on Power Systems, Vol. 16, August 2001, pp. 537-544.

Rahimzadeh, S.; Bina, M. Tavakoli, Planning Required for FACTS Devices to Improve the Steady State Efficiency of Restructured Power Systems: A Review, international Review of Electrical Engineering, vol 4,issue 3,june 2009,pp 417-424.

J. Kennedy., R. Eberhart.Particle Swarm Optimization. IEEE International Conf. on Neural Networks, Piscataway, NJ, Vol. 4, pp.1942-1948, 1995

G. A. Bakare, U. O. Aliyu, G. K. Venayagamoorthy, Reactive power and voltage control of Nigerian grid by using micro-genetic algorithm. IEEE Power Engg.Soc.Gen. Meeting, June 2005, pp. 1700- 1706.

T.K.Das, S.R.Jetti and G.K.Venagamoorthy,Optimal design of a SVC controller using a small population based PSO. in Proc. IEEE swarmIntellSymp, 2006, pp156-161.

JingruiZhang,Jian Wang and Chaoyuanyum.Small Population Based Particle Swarm Optimization for Short-term Hydrothermal Scheduling.IEEE Trans on power systems, vol.27, February 2012.

Purwoharjono, Muhammad Abdillah, OntosenoPenangsang, AdiSoeprijanto , Optimal Placement of SVC for Losses Reduction and Voltage Profile Improvement in Electrical Power System Using Improved Gravitational Search Algorithm, , international Review of Electrical Engineering, vol 8,issue 1, February 2013,pp 329-339.

Stott.B, Review of load flow calculation methods. proc. of the IEEE,1974, vol 62, no 7, pp.916-929[13].D. J. Gotham and G. T. Heydt.Power flow control and power flow studies for systems with FACTS devices.IEEE Trans. Power Systems,vol. 13, no. 1, Feb.1998.

S.Y.Ge and T.S. Chung. Optimal Active Power Flow incorporating Power Flow Control Needs in Flexible A.C. Transmission Systems.IEEE Trans. on Power Systems, Vol.14, No. 2, May, 1999

Y.Shi and R.Eberhart,.A modified Particle swarm optimizer. inProc. IEEE conf. Evolutionary computation, 1998, pp 69-73

HadiSaadat.Power System Analysis(with disk),Tata McGraw-Hill Education,2002

Damiano, A., Gatto, G., Marongiu, I., Meo, S., Perfetto, A., Serpi, A., Single-stage grid connected PV inverter with active and reactive power flow control via PSO-PR based current controlled SVPWM, (2012) International Review of Electrical Engineering (IREE), 7 (4), pp. 4647-4654.


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize