Optimal overhead distribution network planning based graph theory
Keywords:
Optimization, optimal planning, electrical distribution network, minimum Steiner tree, transformers
Abstract
The paper presents a model for optimizes the resources used in the overhead distribution network planning, which allows the deployment of transformers considering coverage and capacity of them. It shows a routing model of the media voltage network based of minimum Steiner tree to find the best route in a geo-referenced area. The planning has been made over a geo-referenced scenery with data from OpenStreetMap platform, with the purpose of locations the transformers and the topology of the net area real. Results imply a starting point for electricity distribution companies to establish work plans for de expansion and planning of the electricity distribution network considering the variability at the demand present.
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References
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[2] J. Fletcher, T. Fernando, H. Iu, M. Reynolds, and S. Fani, “A case study on optimizing an electrical distribution network using a genetic algorithm,” 2015 IEEE 24th Int. Symp. Ind. Electron, pp. 20-25, 2015.
[3] G. A. Jiménez-Estevez, L. S. Vargas, and R. Palma-Behnke, “An evolutionary approach for the greenfield planning problem in distribution networks,” IEEE Int. Conf. Neural Networks - Conf. Proc., pp. 1744-1749, 2007.
[4] V. Dumbrava, P. Ulmeanu, P. Duquenne, C. Lazaroiu, and M. Scutariu, “Expansion planning of distribution networks by heuristic algorithms,” Proc. Univ. Power Eng. Conf., 2010.
[5] E. G. Carrano, F. G. Guimarães, R. H. C. Takahashi, O. M. Neto, and F. Campelo, “Electric distribution network expansion under load-evolution uncertainty using an immune system inspired algorithm,” IEEE Trans. Power Syst., vol. 22, no. 2, pp. 851-861, 2007.
[6] D. Deka, M. Chertkov, and S. Backhaus, “Structure Learning in Power Distribution Networks,” IEEE Trans. Control Netw. Syst., vol. 5870, no. c, pp. 1-1, 2017.
[7] R. M. Capelini et al., “Methodology for Fast Location in Overhead Distribution Networks by Application of Temporary Georeferenced Fault Indicators,” 2016 IEEE Int. Conf. High Volt. Eng. Appl., pp. 6-9, 2016.
[8] J. F. Gómez et al., “Ant colony system algorithm for the planning of primary distribution circuits,” IEEE Trans. Power Syst., vol. 19, no. 2, pp. 996-1004, 2004.
[9] K. E. Antoniadou-Plytaria, N. C. Koutsoukis, E. S. Sergaki, and P. S. Georgilakis, “Multiyear power distribution planning considering voltage regulator placement,” IET Conf. Publ., vol. 2016, no. CP711, pp. 1-6, 2016.
[10] A. Samui, S. Singh, T. Ghose, and S. R. Samantaray, “A Direct Approach to Optimal Feeder Routing for Radial Distribution System,” IEEE Trans. Power Deliv., vol. 27, no. 1, pp. 253-260, 2012.
[11] V. F. Martins and C. L. T. Borges, “Active Distribution Network Integrated Planning Incorporating Distributed Generation and Load Response Uncertainties,” IEEE Trans. Power Syst., vol. 26, no. 4, pp. 2164-2172, 2011.
[12] M. Campaña, E. Inga, and R. Hincapié, “Optimal placement of universal data aggregation points for smart electric metering based on hybrid wireless,” CEUR Workshop Proc., vol. 1950, pp. 6-9, 2017.
[13] R. Wang et al., “A Graph Theory Based Energy Routing Algorithm in Energy Local Area Network,” IEEE Trans. Ind. INFORMATICS, vol. 13, no. 6, pp. 3275-3285, 2017.
[14] Y. Chen, S. Wang, J. Yu, W. Li, X. Shi, and W. Yang, “Optimal Weighted Voronoi Diagram Method of Distribution Network Planning Considering City Planning Coordination Factors,” 2017 4th Int. Conf. Syst. Informatics, no. Icsai, pp. 335-340, 2017.
[15] H. Chunguang et al., “Distribution network island separation with distributed generation (DG) based on dynamic planning,” Proc. 2017 IEEE 2nd Adv. Inf. Technol. Electron. Autom. Control Conf. IAEAC 2017, pp. 1767-1771, 2017.
[16] J. Lichtinghagen, M. Sieberichs, A. Moser, and A. Kübler, “Medium voltage network planning considering the current network and geographical restrictions,” 2017 6th Int. Conf. Clean Electr. Power Renew. Energy Resour. Impact, ICCEP 2017, pp. 689-693, 2017.
[17] E. Díaz-Dorado, J. Cidrás, and E. Míguez, “Application of evolutionary algorithms for the planning of urban distribution networks of medium voltage,” IEEE Trans. Power Syst., vol. 17, no. 3, pp. 879-884, 2002.
[18] A. Peralta, E. Inga, and R. Hincapié, “Optimal Scalability of FiWi Networks Based on Multistage Stochastic Programming and Policies,” J. Opt. Commun. Netw., vol. 9, no. 12, p. 1172, 2017.
[19] E. Inga, S. Céspedes, R. Hincapié, and A. Cárdenas, “Scalable Route Map for Advanced Metering Infrastructure Based on Optimal Routing of Wireless Heterogeneous Networks,” IEEE Wirel. Commun., vol. 24, no. April, pp. 1-8, 2017.
[20] J. Naor, D. Panigrahi, and M. Singh, “Online node-weighted Steiner tree and related problems,” Proc. - Annu. IEEE Symp. Found. Comput. Sci. FOCS, pp. 210–219, 2011.
[21] X. Han, J. Liu, D. Liu, Q. Liao, J. Hu, and Y. Yang, “Distribution network planning study with distributed generation based on Steiner tree model,” 2014 IEEE PES Asia-Pacific Power Energy Eng. Conf., vol. 1, pp. 1-5, 2014.
[22] L. P. Zhang, Z. X. Yang, Q. Y. He, and D. M. Cai, “Immune algorithm for minimal Steiner tree problems,” Int. Conf. Adv. Mechatron. Syst. ICAMechS, vol. 2017, Decem, pp. 110-115, 2018.
[23] C. Wang, H. Liang, X. Geng, and M. Zhu, “Multi-sensor fusion method using kalman filter to improve localization accuracy based on android smart phone,” 2014 IEEE Int. Conf. Veh. Electron. Safety, ICVES 2014, pp. 180-184, 2015.
Published
2018-12-07
How to Cite
Herrera-Cisneros, E., & Inga-Ortega, E. (2018). Optimal overhead distribution network planning based graph theory. ITECKNE, 15(2), 122-130. https://doi.org/https://doi.org/10.15332/iteckne.v15i2.2073
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Section
Research and Innovation Articles
