Capacitor Placement in Radial Distribution System for Loss Reduction Using Artificial Bee Colony Algorithm

Authors: R. Srinivasa Rao

Abstract:

This paper presents a new method which applies an artificial bee colony algorithm (ABC) for capacitor placement in distribution systems with an objective of improving the voltage profile and reduction of power loss. The ABC algorithm is a new population based meta heuristic approach inspired by intelligent foraging behavior of honeybee swarm. The advantage of ABC algorithm is that it does not require external parameters such as cross over rate and mutation rate as in case of genetic algorithm and differential evolution and it is hard to determine these parameters in prior. The other advantage is that the global search ability in the algorithm is implemented by introducing neighborhood source production mechanism which is a similar to mutation process. To demonstrate the validity of the proposed algorithm, computer simulations are carried out on 69-bus system and compared the results with the other approach available in the literature. The proposed method has outperformed the other methods in terms of the quality of solution and computational efficiency.

Keywords: Distribution system, Capacitor Placement, Loss reduction, Artificial Bee Colony Algorithm.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077229

References:

[1] C. Lyra, C. Pissara, C. Cavellucci, A. Mendes, P. M. Franca, "Capacitor placement in largesized radial distribution networks, replacement and sizing of capacitor banks in distorted distribution networks by genetic algorithms", IEE Proceedings Generation, Transmision & Distribution, pp. 498-516, 2005.
[2] Ng H.N., Salama M.M.A. and Chikhani A.Y, "Capacitor allocation by approximate reasoning: fuzzy capacitor placement", IEEE Transactions on Power Delivery, vol. 15, No. 1, pp. 393-398, 2000.
[3] Sundharajan and A. Pahwa, "Optimal selection of capacitors for radial distribution systems using genetic algorithm", IEEE Trans. Power Systems, vol. 9, No.3, pp.1499-1507, Aug. 1994.
[4] Ji-Pyng Chiou et al, "Capacitor placement in large scale distribution system using variable scaling hybrid differential evolution", Electric Power and Energy Systems, vol. 28, pp.739-745, 2006.
[5] J. J. Grainger, S. H. Lee, "Optimum size and location of shunt capacitors for reduction of losses on distribution feeders", IEEE Trans Power Apparatus Systems, vol. 100, pp. 1105-1108, 1981.
[6] S. H. Lee, J. J. Grainger, "Optimum placement of fixed and switched capacitors on primary distribution feeders", IEEE Trans PAS, vol. 100, pp. 345-352, 1981.
[7] Baghzouz. Y and Ertem S, "Shunt capacitor sizing for radial distribution feeders with distorted substation voltages", IEEE Trans Power Delivery, vol. 5, pp.650-57, 1990.
[8] J. L. Bala, P. A. Kuntz, M. Tayor, "Sensitivity-based optimal capacitor placement on a radial distribution feeder", Proc. Northcon 95, IEEE Technical Application Conf., pp. 225230, 1995.
[9] B. Basturk, D. Karaboga, "An artificial bee colony (ABC) algorithm for numeric function optimization", IEEE Swarm Intelligence Symposium 2006, May 12-14, Indianapolis, IN, USA, 2006.
[10] D. Karaboga, B. Basturk, "A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm", Journal of Global Optimization, vol. 39, pp. 459-471, 2007.
[11] D. Karaboga, B. Basturk, "On the performance of artificial bee colony (ABC) algorithm", Applied Soft Computing, vol. 8 pp. 687-697, 2008.
[12] Baran ME, Wu FF, "Optimal sizing of capacitors placed on a radial distribution systems", IEEE Trans Power Deliver, vol. 4, pp. 735-43, Jan. 1989.
[13] Prakash K. and Sydulu M, "Particle swarm optimization based capacitor placement on radial distribution systems", IEEE Power Engineering Society general meeting 2007, pp. 1-5, 2007.
[14] S. F. Mekhamer et al, "New heuristic strategies for reactive power compensation of radial distribution feeders", IEEE Trans Power Delivery, vol. 17, No. 4, pp.1128-1135, Oct. 2002.
[15] D. Das, "Reactive power compensation for radial distribution networks using genetic algorithms", Electric Power and Energy Systems, vol. 24, pp.573-581, 2002.