Distribution System Reconfiguration and Capacitor Placement for Loss Reduction by Ant Colony Algorithm


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


High current amounts, low voltage level and radial structure assign high percentage of active power loss in distribution system. There are many means in reducing the active power loss of distribution networks; this paper introduces an ant colony algorithm to solve the optimal network reconfiguration and capacitor placement problem for power loss reduction and voltage profile enhancement in distribution networks. The ant colony algorithm was inspired from natural behavior of the ant colonies on how they find the food source and bring them back to their nest by building the unique trial formation. Ants of artificial colony are able to search for the successively shorter feasible routes by using information accumulated in the form of a pheromone trial deposited on the edge of their traveling path. The proposed approach is demonstrated employing one distribution network. Computational results show that by taking into account feeder reconfiguration and capacitor placement simultaneously, one can be minimize losses more efficiently by considering them separately
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


Distribution System; Capacitor Placement; Reconfiguration; Loss Reduction; Ant Colony

Full Text:

PDF


References


S. Civanlar, J. J. Grainger, H. Yin , S.S.H. Lee, Distribution Feeder Reconfiguration for Loss Reduction, IEEE Trans. Power Delivery, vol. 3, July 1988, pp. 1217-1223.
http://dx.doi.org/10.1109/61.193906

C. C. Liu, S. J. Lee, S. S. Venkata, Loss Minimization for Distribution Feeders: Optimality and Algorithms, IEEE Trans. Power Delivery, vol. 4, Apr1989, pp. 1281-1289.
http://dx.doi.org/10.1109/61.25615

R. E. Brown, Distribution Reliability Assessment and Reconfiguration Optimization, Transmission and Distribution Conference and Exposition~TDC2001~, Oct 28 – Nov 2, 2001, Atlanta, USA.

D.Shirmohammadi, H.W.Hong, Reconfiguration of Electric Distribution Networks for Resistive Line Losses Reduction, IEEE Trans.Power Deliv.4, 1989, pp.1492-1498.
http://dx.doi.org/10.1109/61.25637

G. R. Darling, H. D. Chiang , J. C. Wang, An Efficient Algorithm for Real-time Network Reconfiguration in Large Scale Unbalanced Distribution Systems, IEEE Trans. Power Systems, vol. 11, Feb.1996,pp. 511 -517.
http://dx.doi.org/10.1109/59.486141

M.A. Kashem, M.Moghavvemi, A.Mohamed, G.B.Jasmon, Loss Reduction in Distribution Networks Using New Network Reconfiguration Algorithm, Electric Machines and Power System, 1998, pp.815-829.
http://dx.doi.org/10.1080/07313569808955860

S.K.Goswami, S.K.Basu, A New Algorithm for the Reconfiguration of Distribution Feeders for Loss Minimization, IEEE Trans.Power Deliv.7, 1992, pp.1484-1491.
http://dx.doi.org/10.1109/61.141868

H.C.Cheng, C.C.Kou, Network Reconfiguration in Distribution System Using Simulated Annealing, Electric Power System, 1994, pp.227-238.
http://dx.doi.org/10.1016/0378-7796(94)90018-3

S. A. Yin , C. N. Lu, Distribution Feeder Scheduling Considering Variable Load Profile and Outage Costs, IEEE Trans. Power Systems,vol. 24, May 2009 , pp. 652-660.
http://dx.doi.org/10.1109/tpwrs.2009.2016300

R. Khorshidi, An Efficient Hybrid Evolutionary Optimization Algorithm for Multi-Objective Distribution Feeder Reconfiguration, International Review of Electrical Engineering (IREE), vol.4.6, November-December2009, pp.1318-1325.

A.M.Sharaf, S.T.Ibrahim, Optimal Capacitor Placement in Distribution Networks, Electric Power System, 1996, pp.181-187.
http://dx.doi.org/10.1016/s0378-7796(96)01057-7

J, J.Grainger, S, H.Lee, Optimal Size and Location of Shunt Capacitors for Reduction of Losses on Distribution Feeder, IEEE Trans.Power Appar.System, 1981, pp.1105-1118.
http://dx.doi.org/10.1109/tpas.1981.316577

S.Sandharajan, A.Pahwa, Optimal Selection of Capacitor for Radial Distribution Systems Using a Genetic Algorithm, IEEE Trans power system, 1994, pp.1499-1507.
http://dx.doi.org/10.1109/59.336111

M.Chis, M.M.A.Salama, S.Jayaram, Capacitor Placement is Distribution Systems Using Heuristic Search Strategies, IEE Proc.Gener.Transm.Distrib, 1997, pp.225-230.
http://dx.doi.org/10.1049/ip-gtd:19970945

D.Jiang, R.Baldick, Optimal Electric Distribution System Switch Reconfiguration and Capacitor Control, IEEE Trans.Power systems11, 1996, pp.890-897.
http://dx.doi.org/10.1109/59.496171

Ching-Tzong Su, Chu-Sheng Lee, Feeder Reconfiguration and Capacitor Setting for Loss Reduction of Distribution Systems, Elsevier, 2001, pp.97-102.
http://dx.doi.org/10.1016/s0378-7796(01)00124-9

L. Kuhn, Ant Colony Optimization for Continuous Spaces, Bachelor of Engineering, A thesis submitted to The Department of Information Technology and Electrical Engineering the University of Queensland, Australia, 2002.

C.T. Su, C.F. Chang, J.P. Chiou, Distribution Network Reconfiguration for Loss Reduction and by Ant Colony Search Algorithm, Electric Power Systems Research,vol.75, May2005,pp.190-199.
http://dx.doi.org/10.1016/j.epsr.2005.03.002

O. Bendjeghaba, D. Ouahdi, Redundancy Allocation Problem of Multi State Power Systems Using Ant Colony System, (2010) International Review of Electrical Engineering (IREE), 5 (4), pp. 1715-1720.
http://dx.doi.org/10.1109/pecon.2008.4762662

T.Q.D .Khoa, B.T.T. Phan, Ant Colony Search based Loss Minimum for Reconfiguration of Distribution Systems, Power India Conference, 2006, New Delhi, India.
http://dx.doi.org/10.1109/poweri.2006.1632571

Ching-Tzong Su, Chung-fu chang, Ji-pyng chiou, Optimal Capacitor Placement in Distribution Systems Employing Ant Colony Search Algorithm, Taylor&Francis, Electric Power Components and Systems, 2005, pp.931-946.
http://dx.doi.org/10.1080/15325000590909912

M. J. Kasaei, H. Norouzi, Reconfiguration of Distribution Network with Dispersed Generations Based on Ant Colony Algorithm, (2011) International Review on Modelling and Simulations (IREMOS), 4 (6), pp. 3113-3118.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize