Distribution Network Reconfiguration Using an Approximate Optimization Approach

Hai Na Rong; Yan Hui Qin

doi:10.4028/www.scientific.net/AMM.303-306.1276

Paper Titles

Study on Control of the Second Carbonation in the Clarifying Process of Sugar Cane Juice via Generalized Predictive Control Algorithm
p.1257

Intelligent Control Network Design for Audio Equipment
p.1261

Study of a Fuzzy Decision Making Based Energy-Saving Controller for Marine Power System
p.1267

Fatigue Test System for Accumulators
p.1272

Distribution Network Reconfiguration Using an Approximate Optimization Approach
p.1276

Study of Re-Entrant Lines Modeling Based on Object-Oriented Petri Net
p.1280

Research and Development of Solar Home Inverter Power
p.1286

Anti-Jamming Modification of Exciting System in 600MW Generating Unit
p.1291

Research on Double-Fed Motor Start Control Technology Based on Inverter
p.1297

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Distribution Network Reconfiguration Using an...

Distribution Network Reconfiguration Using an Approximate Optimization Approach

Abstract:

Power network reconfiguration is an important process in the improvement of operating conditions of a power system and in planning studies, service restoration and distribution automation when remote-controlled switches are employed. This paper presents the use of a quantum-inspired evolutionary algorithm to solve the distribution network reconfiguration problem. The quantum- inspired evolutionary algorithm is the combination product of quantum computing and evolutionary computation and is suitable for a class of integer programming problems such as the distribution network reconfiguration problem. After the analysis and formulation of the distribution network reconfiguration problem, the effectiveness and feasibility of the introduced method is verified by a large number of experiments.

You might also be interested in these eBooks

Sensors, Measurement and Intelligent Materials

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1276-1279

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1276

Citation:

Cite this paper

Online since:

February 2013

Authors:

Hai Na Rong, Yan Hui Qin

Keywords:

Distribution Network Reconfiguration, Optimization, Power System, Quantum-Inspired Evolutionary Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] A. Abdelaziz, F. Mohammed, S. Mekhamer and M. Badr: Electric Power Systems Research, Vol. 79 (2009) p.1521.

DOI: 10.1016/j.epsr.2009.05.004

Google Scholar

[2] J.A. Martın and A.J. Gil: Electric Power Systems Research, Vol. 78 (2008) p. (1953).

Google Scholar

[3] Y.J. Jeon, J.C. Kim: Int. Journal of Electrical Power & Energy Systems, Vol. 26 (2004) p.9.

Google Scholar

[4] S. Mekhamer, A. Abdelaziz, F. Mohammed, M. Badr: in: Proceedings of the 12th International Middle-East Power System Conference, (2008) p.397.

DOI: 10.1109/mepcon.2008.4562296

Google Scholar

[5] A. Swarnkar, N. Gupta, K. Niazi: in: Proceedings of Power and Energy Society General Meeting, (2011) p.1.

Google Scholar

[6] M.A. Ghorbani, S.H. Hosseinian, B. Vahidi: in: Proceedings of the 11th International Conference on Optimization of Electrical and Electronic Equipment, (2008) p.269.

Google Scholar

[7] Z.K. Li, X.Y. Chen, K. Yu, Y. Sun, H.M. Liu: in: Proc. of Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century, (2008) p.1.

DOI: 10.1109/pes.2008.4596635

Google Scholar

[8] F. Nournejad, R. Kazemzade, A.S. Yazdankhah: in: Proceedings of the 16th Conference on Electrical Power Distribution Networks, (2011) p.1.

Google Scholar

[9] C.X. Wang, A.J. Zhao, H. Dong, Z.J. Li: in: Proc. of International Conference on Information Management, Innovation Management and Industrial Engineering, 218–223 (2009).

Google Scholar

[10] G.X. Zhang: Journal of Heuristics, Vol. 17 (2011) p.303.

Google Scholar