Capacitor Placement in Radial Distribution System for Loss Reduction Using Artificial Bee Colony Algorithm
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:60447", author = "R. Srinivasa Rao", title = "Capacitor Placement in Radial Distribution System for Loss Reduction Using Artificial Bee Colony Algorithm", 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.", volume = "4", number = "8", pages = "1227-5", }