REDUCTION OF ACTIVE POWER LOSS BY CHAOTIC SEARCH BASED ARTIFICIAL BEE COLONY ALGORITHM

Authors

  • Dr.K.Lenin Professor, Department of EEE Prasad V.Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh -520007, India

DOI:

https://doi.org/10.29121/granthaalayah.v6.i1.2018.1632

Keywords:

Chaotic Search Based Artificial Bee Colony Optimization, Reactive Power Optimization

Abstract [English]

This paper presents Chaotic Search Based Artificial Bee Colony Optimization Algorithm (CSABC) for solving the optimal reactive power problem. Basic Artificial Bee Colony algorithm (ABC) has the advantages of strong robustness, fast convergence and high flexibility, fewer setting parameters, but it has the disadvantages premature convergence in the later search period and the accuracy of the optimal value which cannot meet the requirements sometimes. In this paper the Chaotic Local Search method is applied to solve the reactive power problem of global optimal value. The premature convergence issue of the Artificial Bee Colony algorithm has been improved by increasing the number of scout and rational using of the global optimal value and Chaotic Search. The proposed Chaotic Search Based Artificial Bee Colony Optimization (CSABC) algorithm has been tested in stand IEEE 30, 118- bus & practical 191 Indian utility test systems. The results show that the proposed algorithm performs well in reducing the real power loss and prevent premature convergence to high degree with rapid convergence.

Downloads

Download data is not yet available.

References

H.W.Dommel, W.F.Tinney. Optimal power flow solutions. IEEE, Trans. On power Apparatus and Systems, VOL. PAS-87, October 1968, pp.1866-1876. DOI: https://doi.org/10.1109/TPAS.1968.292150

Lee K, Park Y, Ortiz J. A. United approach to optimal real and reactive power dispatch. IEEE Trans Power Appar. Syst. 1985; 104(5):1147-53.

Y. Y.Hong, D.I. Sun, S. Y. Lin and C. J.Lin. Multi-year multi-case optimal AVR planning. IEEE Trans. Power Syst., vol.5, no.4, pp.1294-1301, Nov.1990.

J. A. Momoh, S. X. GUO, E .C. Ogbuobiri, and R. Adapa. The quadratic interior point method solving power system optimization problems. IEEE Trans. Power Syst. vol. 9, no. 3, pp. 1327-1336, Aug.1994.

S. Granville. Optimal Reactive Dispatch through Interior Point Methods. IEEE Trans. Power Syst. vol. 9, no. 1, pp. 136-146, Feb. 1994. DOI: https://doi.org/10.1109/59.317548

J.A.Momoh, J.Z.Zhu. Improved interior point method for OPF problems. IEEE Trans. On power systems; Vol. 14, No. 3, pp. 1114-1120, August 1999.

Y.C.Wu, A. S. Debs, and R.E. Marsten. A Direct nonlinear predictor-corrector primal-dual interior point algorithm for optimal power flows. IEEE Transactions on power systems Vol. 9, no. 2, pp 876-883, may 1994. DOI: https://doi.org/10.1109/59.317660

L.L.Lai, J.T.Ma, R. Yokoma, M. Zhao. Improved genetic algorithms for optimal power flow under both normal and contingent operation states. Electrical Power & Energy System, Vol. 19, No. 5, p. 287-292, 1997. DOI: https://doi.org/10.1016/S0142-0615(96)00051-8

Q.H. Wu, Y.J.Cao, and J.Y. Wen. Optimal reactive power dispatch using an adaptive genetic algorithm. Int. J. Elect. Power Energy Syst. Vol 20. Pp. 563-569; Aug 1998. DOI: https://doi.org/10.1016/S0142-0615(98)00016-7

B. Zhao, C. X. Guo, and Y.J. CAO. Multiagent-based particle swarm optimization approach for optimal reactive power dispatch. IEEE Trans. Power Syst. Vol. 20, no. 2, pp. 1070-1078, May 2005.

J. G. Vlachogiannis, K.Y. Lee. A Comparative study on particle swarm optimization for optimal steady-state performance of power systems. IEEE trans. on Power Syst., vol. 21, no. 4, pp. 1718-1728, Nov. 2006.

AnanBanharnsakun,Tiranee Achalakul,Booncharoen Sirinaovakul,The best-so-far selection in the Bee Clony algorithm, Applied Computing, 11,2888-2901, 2011. DOI: https://doi.org/10.1016/j.asoc.2010.11.025

Fei Kang, Junjie Li, Zhenyue Ma , Rosenbrock artificial bee colony algorithm for accurate global optimization of numerical functions, Information Sciences: S0020-0255(11)00198-8,DOI: 10.1016/j.ins.2011.04.024,2011. DOI: https://doi.org/10.1016/j.ins.2011.04.024

Mustafa Sonmez, Artificial Bee Colony algorithm for optimization of truss structures,Applied Soft Computing11(2011)2406-2018,2011. DOI: https://doi.org/10.1016/j.asoc.2010.09.003

Zhou Xi-xiang,Li Jia-sheng,Yang Sai-liang,The Digital PID Parameter Tuning Based on Chaos Particle Swarm Optimization, Power Electronics,44(10):62-64, 2010.

Wu.Q.H,Y.J.Cao, and J.Y.Wen,(1998),“Optimal reactive power dispatch using an adaptive genetic algorithm”, Int.J.Elect.Power Energy Syst. Vol 20. Pp. 563-569.

Zhao.B,C.X.Guo,andY.J.CAO,(2005),“Multiagent-based particle swarm optimization approach for optimal reactive power dispatch”,IEEE Trans. Power Syst. Vol. 20, no. 2, pp. 1070-1078. DOI: https://doi.org/10.1109/TPWRS.2005.846064

Mahadevan.K, KannanP.S, (2010) “Comprehensive Learning Particle Swarm Optimization for Reactive Power Dispatch”, Applied Soft Computing, Vol. 10, No. 2, pp. 641–52. DOI: https://doi.org/10.1016/j.asoc.2009.08.038

Khazali.A.H, M.Kalantar, (2011), “Optimal Reactive Power Dispatch based on Harmony Search Algorithm”, Electrical Power and Energy Systems, Vol. 33, No. 3, pp. 684–692. DOI: https://doi.org/10.1016/j.ijepes.2010.11.018

Sakthivel.S, M.Gayathri, V.Manimozhi, (2013), “A Nature Inspired Optimization Algorithm for Reactive Power Control in a Power System”, International Journal of Recent Technology and Engineering, pp29-33Vol.2, Issue-1.

Tejaswini Sharma, Laxmi Srivastava, Shishir Dixit (2016). “Modified Cuckoo Search Algorithm For Optimal Reactive Power Dispatch”, Proceedings of 38 th IRF International Conference,pp4-8. 20th March, 2016, India, ISBN: 978-93-85973-76-5.

IEEE, “The IEEE 30-bus test system and the IEEE 118-test system”, (1993),

http://www.ee.washington.edu/trsearch/pstca/.

Jiangtao Cao, Fuli Wang and Ping Li, “An Improved Biogeography-based Optimization Algorithm for Optimal Reactive Power Flow”, International Journal of Control and Automation Vol.7, No.3 (2014), pp.161-176.

Downloads

Published

2018-01-31

How to Cite

Lenin, K. (2018). REDUCTION OF ACTIVE POWER LOSS BY CHAOTIC SEARCH BASED ARTIFICIAL BEE COLONY ALGORITHM. International Journal of Research -GRANTHAALAYAH, 6(1), 377–388. https://doi.org/10.29121/granthaalayah.v6.i1.2018.1632

Most read articles by the same author(s)

<< < 1 2 3 4 5 6 7 > >>