Voltage Profile Improvement and Loss Reduction Using Differential Evolution Algorithm Based Multi-Type FACTS Devices
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The line losses of conductors in power system are gaining importance in order to conserve energy. Flexible AC Transmission Systems (FACTS) devices have been utilized for loss reduction and voltage profile improvement. In this paper, two FACTS controllers like Static Var Compensator (SVC), and Thyristor Controlled Series Capacitor (TCSC) are considered in order to mitigate losses and improve voltage profile in power system. The placement of FACTS devices under steady state condition for voltage profile improvement and loss reduction is a problem of combinatorial non linear optimization. Differential evolution algorithm (DEA) has been used to solve and overcome the complicity of this combinatorial non linear optimization problem. The optimizations are performed on two parameters: the location and the values of SVC and TCSC. Simulations have been applied on modified IEEE 30 bus test system for two operating conditions. To validate the accuracy of results a comparison with particle swarm optimization (PSO) has been made. The results show the effectiveness of DEA than PSO in loss reduction and voltage profile improvement.
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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.
C. A. Cañizares, Voltage Stability Assessment, Procedures and Guides.IEEE/Power Systems Stability Subcommittee, Draft, Jul. 1999. [Online]. Available: http://www.power.uwaterloo.ca
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.
N.G. Hingurani, L. Gyugyi, Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems, IEEE Press, New York, 2000.
T. VanCutsem and C. Vournas, Voltage Stability of Electric Power Systems. Norwell, MA: Kluwer, 1998.
Rahimzadeh, S., Bina, M.T., Planning required for FACTS devices to improve the steady state efficiency of restructured power systems: A review, (2009) International Review of Electrical Engineering (IREE), 4 (3), pp. 417-424.
J. Z. Zhu and M. R. Irving. Combined active and reactive dispatch with multiple objectives using an analytic hierarchical process. Proc. Inst. Elect. Eng., vol. 143, no. 4, pp. 344–352, 1996.
J. Z. Zhu and X. F. Xiong, VAr optimization and pricing in multi-areas power system presented at the IEEE General Meeting, Toronto, ON, Canada, Jul. 13–18, 2003.
M. O. Mansour and T. M. Abdel-Rahman. Non-linear VAr optimization using decomposition and coordination. IEEE Trans. Power App, Syst., vol. 103, no. 2, pp. 246–255, Feb. 1984.
K. Iba. Reactive power optimization by genetic algorithm. IEEE Trans. Power Syst., vol. 9, no. 2, pp. 685–692, May 1994.
Purwoharjono, Abdillah, M., Penangsang, O., Soeprijanto, A., Optimal placement of SVC for losses reduction and voltage profile improvement in electrical power system using improved gravitational search algorithm, (2013) International Review of Electrical Engineering (IREE), 8 (1), pp. 329-339.
M. R. Irving and M. J. H. Sterling. Efficient Newton-Raphson algorithm for load flow calculation in transmission and distribution networks. Proc. Inst. Elect. Eng., C, vol. 134, 1987.
Stott.B, Review of load flow calculation methods. proc. of the IEEE,1974, vol 62, no 7, pp.916-929.
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.
J. Kennedy., R. Eberhart.Particle Swarm Optimization. IEEE International Conf. on Neural Networks, Piscataway, NJ, Vol. 4, pp.1942-1948, 1995.
R.Storn and K.Price. Differential evolution- A simple and efficient heuristic for global optimization over continuous spaces. J.Glob, Optim, vol 11. No 4,pp. 341- 359, Nov 1997.
Hadi Saadat.Power System Analysis(with disk),Tata McGraw-Hill Education,2002.
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