Abstract
Power distribution networks are the most susceptible sector of the whole electric grid in terms of reliability. Failures along the lines cause the disconnection of a great number of customers what have an immediate impact on quality and security indices. Innovations capable to mitigate impacts or improve reliability are ever pursued by the electric utilities. In view of that, the planning of the modern distribution networks must consider the installation of switches along the network as an important procedure to isolate failures reducing the impact and the number of customers not supplied. However, the complexity and the dimension of the current distribution networks, makes the task of proper allocation of switches strongly dependent on the expertise of engineers. This paper proposes an application based on a Multi-Objective Particle Swarm Optimization algorithm that determines the suitable placement and a feasible number of switches on the power distribution networks in order to minimize the number of customers affected by faults. Detailed information about the algorithm and its application in a test distribution system is presented. The effectiveness of the algorithm is presented in a case study applied to the IEEE 123-Node Test Feeder.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Moradi, A., Fotuhi-Firuzabad, M., Rashidi-Nejad, M.: A reliability cost/worth approach to determine optimum switching placement in distribution systems. In: Transmission and Distribution Conference and Exhibition: Asia and Pacific. IEEE/PES, pp. 1–5 (2005)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Networks, vol. 4, pp. 1942–1948 (November- December 1995)
Christian Blum, X.L.: Swarm intelligence introduction and applications. Springer, Berlin (2008)
Wang, H., Jiang, H., Xu, K., Li, G.: Reactive power optimization of power system based on improved particle swarm optimization. In: 2011 4th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT, pp. 606–609 (July 2011)
Kennedy, J., Eberhart, R.: A discrete binary version of the particle swarm algorithm. In: 1997 IEEE International Conference on Computational Cybernetics and Simulation, vol. 5 (October 1997)
Moradi, A., Fotuhi-Firuzabad, M.: Optimal switch placement in distribution systems using trinary particle swarm optimization algorithm. IEEE Transactions on Power Delivery 23(1), 271–279 (2008)
Abdul Latiff, N., Tsimenidis, C., Sharif, B., Ladha, C.: Dynamic clustering using binary multi-objective particle swarm optimization for wireless sensor networks. In: IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2008, pp. 1–5 (September 2008)
Wang, L., Ye, W., Fu, X., Menhas, M.: A modified multi-objective binary particle swarm optimization algorithm. In: Tan, Y., Shi, Y., Chai, Y., Wang, G. (eds.) ICSI 2011, Part II. LNCS, vol. 6729, pp. 41–48. Springer, Heidelberg (2011)
Bezerra, J.R., Barroso, G.C., Leao, R.P.: Switch placement algorithm for reducing customers outage impacts on radial distribution networks. In: TENCON 2012 - 2012 IEEE Region 10 Conference, pp. 1–6 (November 2012)
Kersting, W.: Radial distribution test feeders. IEEE Power Engineering Society Winter Meeting 2, 908–912 (2001)
Singh, K.: Electricity distribution network expansion planning (March 2013), http://www.epoc.org.nz/papers/KaviORSNZPaper.pdf
Deb, K.: Multi-objective evolutionary algorithms: Introducing bias among pareto-optimal solutions. In: Ghosh, A., Tsutsui, S. (eds.) Advances in Evolutionary Computing. Natural Computing Series, pp. 263–292. Springer, Heidelberg (2003)
Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley Paperback. Wiley (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bezerra, J.R., Barroso, G.C., Leão, R.P.S., Furtado, R., de Medeiros, E.B. (2013). Power Distribution Network Planning Application Based on Multi-Objective Binary Particle Swarm Optimization Algorithm. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38703-6_31
Download citation
DOI: https://doi.org/10.1007/978-3-642-38703-6_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38702-9
Online ISBN: 978-3-642-38703-6
eBook Packages: Computer ScienceComputer Science (R0)