Genetic Algorithm Based Optimum Reactive Power Dispatch for Voltage stability Enhancement in the Presence of FACTS devices

K. Vaisakh*, P.Kanta Rao**
* Professor, Department of Electrical Engineering, AU College of Engineering, Andhra University, Vlsakhapatnam, A.P, India.
** Professor, Department of Electrical and Electronics Engineering, SRKR College Of Engg, Bhlmavaram, W.G.DIst., A.P, India
Periodicity:April - June'2008
DOI : https://doi.org/10.26634/jee.1.4.376

Abstract

Reactive Power Dispatch (RPD) and voltage control of power systems is one of the important tasks in the operation and control of the power system. RPD problem can be formulated as a non-linear constrained optimization problem. This paper presents a Genetic Algorithm (GA) approach for solving the reactive power dispatch problem including the line flow constraint. Minimization of voltage Instability with FACTS and without FACTS devices is the objective of this reactive power optimization problem. The proposed algorithm has been applied to find the optimal reactive power control variables in IEEE 30 system in which the control of bus voltages, tap position of transformers and reactive power sources are involved to minimize the transmission loss in addition to improving the sum of square of load bus voltage stability indices. The simulation results are promising and show the effectiveness of the proposed RPD approach in the presence of FACTS device.

Keywords

Reactive Power Dispatch, FACTS devices, Genetic Algorithm, line loss.

How to Cite this Article?

K. Vaisakh and P.Kanta Rao (2008). Genetic Algorithm Based Optimum Reactive Power Dispatch for Voltage stability Enhancement in the Presence of FACTS devices. i-manager’s Journal on Electrical Engineering, 1(4), Apr-Jun 2008, Print ISSN 0973-8835, E-ISSN 2230-7176, pp. 30-38. https://doi.org/10.26634/jee.1.4.376

References

[1].Dommel, H.W., Tinney, W.F., (1968), Optimal power flow solutions. IEEE Trans, on Power Apparatus and Sysfems,87:1866-1876.
[2] . Hong, Y.Y., Sun, D.I., Lin, S.Y., Lin, C.J., (1990), Multi¬year multi-case optimal AVR planning. IEEE Trans. On Power Systems, 5(4): 1294-1301.
[3] . Yin, X., Germay, N., (1991), Investigations on solving the load flow problem by genetic algorithms. Electric Power System Research Journal, 22(3): 151 -163.
[4] . Iba, K., (1994), Reactive power optimization by genetic algorithm./FEE Trans, on Power System, 9(2):685- 692.
[5] . Wu, Q.H., Cao, Y.J., Wen, J.Y., (1998), Optimal reactive power dispatch using an adaptive genetic algorithm. Int. J. Elect.PowerEnergySyst., 20(8):563-569.
[6] . Wong, K.R, Wong, Y.W., (1994), Genetic and genetic/simulated-annealing approaches to economic dispatch./EEProc. Pt. C,141 (5):507-513.
[7] . Lee, K.Y., Bai, X.M., Park, Y.M., (1995), Optimization method for reactive power planning by using a modified genetic algorithm. IEEE Trans, on Power Systems, 10(4): 1843-1850.
[8] . Lee K.Y. Park Y.M. and Ortiz J.L. (1985), A United Approach to Optimal Real and Reactive Power Dispatch1, IEEE Trans, on Power Apparatus and Systems, May, Vol.PAS. 104, No.5, pp. 1147-1153.
[9] , Granville, S. (1994), 'Optimal reactive power dispatch through interior point methods1,. IEEE Trans, on Power Systems Vol. 9. No. 1 ,pp.98-l 05.
[10] . Iba K. (1994), 'Reactive power optimization by genetic algorithms', IEEE Trans on power systems. May, Vol.9, No.2, pp.685-692.
[11 ]. Wu Q.H. and Ma J. T. (1995), 'Power system optimal reactive power dispatch using evolutionary programming', IEEE Trans on power system, Aug, Vol. 10, No.3,pp.l 243-1249.
[12] . Bhagwan Das, Patvardhan C. (2003), 'A New Hybrid Evolutionary Strategy for Reactive Power Dispatch1, Electric Power Research, Vol.65. PR83-90.
[13] . Abido, M.A. and J. M. Bakhaswain (2003), A Novel Multi Objective Evolutionary Algorithm for Optimal Reactive Power Dispatch Problem. Proceedings of ICECS 2003 of IEEE.
[14] . Stephane Gerbex, Rachid Cherkaoui, andAlain J.Germond (2001), Optimal Location of Multi-type FACTS Devices in a Power System by Means of Genetic Algorithm1, IEEE Trans on Power System, Vol.16, No.3, pp.658-667,
[15] . Zhao B., Guo C.X. and Cao Y.J. (2005), A multiagent based particle swarm optimization approach for optimal reactive power dispatch1, IEEE Trans, on power system. May, Vol. 20.NO.2, pp.l 070-1078.
[16] . Singiresu S. Rao, 'Engineering Optimization-Theory and practice', III Edition, New age international pvt. ltd Publishers.
[17] . Kalymony Deb (2004) 'Optimization for engineering design algorithms and examples' Prentice Hall of India.
[18] . Mangoli, M.K., and Lee, K.Y., (1993) Optimal real and reactive power control using linear programming1, Electr. PowerSyst. Res., 26, pp. 110.
[19] . Scott, B., Alsac, O., Bright, J., and Paris, M., (1990) 'Further developments in LP-based optimal power flow1, IEEE Trans., 1990, PWRS-5, (3), pp. 697-711.
[20] . Lima.G.M.et al., (2003) 'Phase shifter placement in large-scale systems via mixed Integer programming', \EEE Trans., 2003, PWRS-18, (3), pp. 1029-1034.
[21] . Kumar, A., and Parida, S., (2005) 'Enhancement of power system Loadability with location of FACTS controllers in competitive electricity markets IEE Proc.- Gener. Transm. Distrib., Vol. 152, No. 6, November 2005.
[22] , R Kessel, H. Glavitsch, (1986) Estimating the voltage and lability of a power system, IEEE Trans. Power Deliv. vol. PWRD-1 (3) (July 1986) 346-354.
[23] . Lai, L. L., Ma, J. T., (1997), Application of evolutionary programming to reactive power planning-Comparison with nonlinear programming approach. IEEE Trans, on PowerSystems, 12(1): 198-204.
[24] . Das, D.B., Patvardhan, C., (2002), Reactive power dispatch with a hybrid stochastic search technique. Int. J. Elect. PowerEnergySyst., 24(9): 731 -736.
[25] . Clerc, M., Kennedy, J., (2002), The Particle SwarmExplosion, stability, and convergence in a multidimensional complex space. IEEE Trans, on Evol. Comput., 6(1):58-73.
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