Power Losses Reduction via Simultaneous Optimal Distributed Generation Output and Reconfiguration using ABC Optimization

- Journal title : Journal of Electrical Engineering and Technology
- Volume 9, Issue 4, 2014, pp.1229-1239
- Publisher : The Korean Institute of Electrical Engineers
- DOI : 10.5370/JEET.2014.9.4.1229

Title & Authors

Power Losses Reduction via Simultaneous Optimal Distributed Generation Output and Reconfiguration using ABC Optimization

Jamian, Jasrul Jamani; Dahalan, Wardiah Mohd; Mokhlis, Hazlie; Mustafa, Mohd Wazir; Lim, Zi Jie; Abdullah, Mohd Noor;

Jamian, Jasrul Jamani; Dahalan, Wardiah Mohd; Mokhlis, Hazlie; Mustafa, Mohd Wazir; Lim, Zi Jie; Abdullah, Mohd Noor;

Abstract

Optimal Distributed Generation (DG) output and reconfiguration are among the well accepted approach to reduce power loss in a distribution network. In the past, most of the researchers employed optimal DG output and reconfiguration separately. In this work, a simultaneous DG output and reconfiguration analysis is proposed to maximize power loss reduction. The impact of the separated analysis and simultaneous analysis are investigated. The test result on the 33 bus distribution network with 3 units of DG operated in PV mode showed the simultaneous analysis gave the lowest power loss (global optimal) and faster results compared to other combined methods. All the analyses for optimizing the DG as well as reconfiguration are used the Artificial Bee Colony Optimization technique.

Keywords

Distributed generation;Optimization techniques;Power loss reduction;Reconfiguration;simultaneous analysis;

Language

English

References

1.

A. Merlin and H. Back, "Search for a minimal loss operating spanning tree configuration for an urban power distribution system", Proceedings of the 5th Power System Computation Conference (PSOC), Cambridge, 1975, pp. 1-18.

2.

M.A Kashem, V. Ganapathy and G.B. Jasmon, "Network reconfiguration for load balancing in distributeion networks", IEEE Proc.-Gener., Transmission Distribution, Vol. 146, No. 6, 1999, pp. 563-567.

3.

Wang, G.S.; Wang, P.Y.; Song, Y.H. and Johns, A.T., "Co-ordinated System of Fuzzy Logic and Evolutionary Programming based Network Reconfiguration for Loss Reduction in Distribution Systems", Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, 1996, Vol. 3, pp. 1838-184.

4.

P. V. Prasad, S. Sivanagaraju; N. Sreenivasulu, Network reconfiguration for load balancing in radial distribution systems using genetic algorithm, Electric Power Components and Systems, 36:1, pp. 63-72.

5.

N. Gupta, A. Swarnar and K. R. Nizai, Reconfiguration of Distribution Systems for Real Power Loss Minimization Using Adaptive Particle Swarm Optimization, Electric Power Components and Systems, 39:4, pp. 317-330.

6.

S. Sivanagaraju, J. ViswanathaRao and P. S. Raju, Discrete Particle Swarm Optimization to Network Reconfiguration for Loss Reduction and Load Balancing, Electric Power Components and Systems, 36:5, pp. 513-524.

7.

Ching-Tzong Su, Chung-Fu Chang and Ji-PyngChiou, "Distribution Network Reconfiguration for Loss Reduction by Ant Colony Search Algorithm", Electric Power Systems Research, Vol. 75, No. 2-3, August 2005, pp. 190-199.

8.

Lalitha M. Padma, Reddy V. C. Veera, Usha V., Reddy N. Sivarami, Application Of Fuzzy and PSO for DG Placement for Minimum Loss in Radial Distribution System, ARPN Journal of Engineering and Applied Sciences 2010, Vol. 5, No. 4, pp. 30-37

9.

Singh, Devender Singh, and K.S. Verma, "GA based optimal sizing and placement of distributed generation for loss minimization", International Journal of Electrical and Computer Engineering 2:8 2007, pp 556-562 (ONLINE), ISSN: 1307-5179.

10.

M. H. Moradi and M. Abedini, A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems, International Journal of Electrical Power & Energy Systems, vol. 34, no. 1, Jan. 2012, pp. 66-74.

11.

J. J. Jamian, M. W. Mustafa, H. Mokhlis, M. N. Abdullah, Comparative Study on Distributed Generator Sizing Using Three Types of Particle Swarm Optimization, Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on, vol., no., 8-10 Feb. 2012, pp.131-136.

12.

Nerves, A.C. Roncesvalles, J.C.K., Application of evolutionary programming to optimal siting and sizing and optimal scheduling of distributed generation, TENCON 2009 - 2009 IEEE Region 10 Conference, vol., no., pp. 1-6, 23-26 Jan. 2009.

13.

Yasin, Z. M. Rahman, T. K. A. Network Reconfiguration in a Power Distribution System under Fault Condition with the Presence of Distributed Generation, International Conference on Energy and Environment (ICEE), 28-30 Aug.2006.

14.

N. Rugithaicharoencheep, S. Sirisumarannukul, Feeder reconfiguration for loss reduction in distribution system with distributed generators by tabu search, GMSARN International Journal, vol. 3, 2009, pp. 47-54.

15.

Y. K. Wu, C. Y. Lee, L. C. Liu and S. H. Tsai, Study of Reconfiguration for the Distribution System With Distributed Generators, IEEE Transaction on Power Delivery, Vol. 25, No. 3, pp. 1678-1685.

16.

J.Z Zhu, "Optimal reconfiguration of electrical distribution network using the refined GA" Electric Power System Research, Vol. 62, 2002, pp. 37-84.

17.

K. Prasad, R. Ranjan, Optimal reconfiguration of radial distribution system using a fuzzy mutated genetic algorithm, IEEE Trans. Power Del. 20 (2) (2005) 1211-1213.

18.

Ching-Tzong Su, Chung-Fu Chang and Ji-PyngChiou, "Distribution Network Reconfiguration for Loss Reduction by Ant Colony Search Algorithm", Electric Power Systems Research, Vol. 75, No. 2-3, August 2005, pp. 190-199.

19.

K. Sathish Kumar, T. Jayabarathi, "Power system reconfiguration and loss minimization for a distribution systems using bacterial foraging optimization algorithm," Electrical Power and Energy Systems 36, Nov 2011, pp. 13-17.

20.

J.Olamie, T.Niknam, G. Gharehpetian, "Application of Particle Swarm Optimization for Distribution feeder Reconfiguration Considering Distributed Generators", Applied Mathematics and Computation, 2008, pp. 575-586.

21.

Karaboga, N., A New Design Method on Artificial Bee Colony Algorithm for Digital IIR Filters, Journal of the Franklin Institute 346, 2009, pp. 328-348.

22.

F.S. Abu-Mouti; d M.E. El-Hawary, Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm, IEEE Transactions on Power Delivery, vol. 26, no. 4, Oct. 2011, pp.2090-2101.

23.

Nerves, A.C.; Roncesvalles, J.C.K.; Application of evolutionary programming to optimal siting and sizing and optimal scheduling of distributed generation, TENCON 2009 - 2009 IEEE Region 10 Conference, vol., no., pp. 1-6, 23-26 Jan. 2009.