Optimal Location and Size of Distributed Generators in an Electric Distribution System based on a Novel Metaheuristic Algorithm

Authors

  • T. N. Ton Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Vietnam
  • T. T. Nguyen Faculty of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, Vietnam https://orcid.org/0000-0002-6351-475X
  • A. V. Truong Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Vietnam
  • T. P. Vu Vietnam National University-Ho Chi Minh City, Vietnam
Volume: 10 | Issue: 1 | Pages: 5325-5329 | February 2020 | https://doi.org/10.48084/etasr.3372

Abstract

This paper proposes a method for optimizing the location and size of Distributed Generators (DGs) based on the Coyote Algorithm (COA), in order to minimize the power loss in an Electric Distribution System (EDS). Compared to other algorithms, COA does not need control parameters during its execution. The effectiveness of COA was evaluated in an EDS with 33 nodes for two scenarios: the optimization of location and capacity of DGs in an initial radial configuration, and the best radial configuration for power loss reduction. Results were compared with other methods, showing that the proposed COA is a reliable tool for optimizing the location and size of DGs in an EDS.

Keywords:

distributed generators, coyote algorithm, electric distribution system, power loss, radial configuration

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References

W. L. Theo, J. S. Lim, W. S. Ho, H. Hashim, C. T. Lee, “Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods”, Renewable and Sustainable Energy Reviews, Vol. 67, pp. 531–573, 2017 DOI: https://doi.org/10.1016/j.rser.2016.09.063

P. S. Georgilakis, N. D. Hatziargyriou, “Optimal distributed generation placement in power distribution networks: models , methods, and future research”, IEEE Transactions on Power Systems, Vol. 28, No. 3, pp. 3420–3428, 2013 DOI: https://doi.org/10.1109/TPWRS.2012.2237043

B. Singh, J. Sharma, “A review on distributed generation planning”, Renewable and Sustainable Energy Reviews, Vol. 76, pp. 529-544, 2017 DOI: https://doi.org/10.1016/j.rser.2017.03.034

R. P. Payasi, A. K. Singh, D. Singh, “Review of distributed generation planning: objectives, constraints, and algorithms”, International Journal of Engineering, Science and Technology, Vol. 3, No. 3, pp. 133-153, 2011 DOI: https://doi.org/10.4314/ijest.v3i3.68430

A. Keane, M. O’Malley, “Optimal allocation of embedded generation on distribution networks”, IEEE Transactions on Power Systems, Vol. 20, No. 3, pp. 1640–1646, 2005 DOI: https://doi.org/10.1109/TPWRS.2005.852115

Y. M. Atwa, E. F. El-Saadany, M. M. A. Salama, R. Seethapathy, “Optimal renewable resources mix for distribution system energy loss minimization”, IEEE Transactions on Power Systems, Vol. 25, No. 1, pp. 360–370, 2010 DOI: https://doi.org/10.1109/TPWRS.2009.2030276

N. Khalesi, N. Rezaei, M. R. Haghifam, “DG allocation with application of dynamic programming for loss reduction and reliability improvement”, International Journal of Electrical Power & Energy Systems, Vol. 33, No. 2, pp. 288–295, 2011 DOI: https://doi.org/10.1016/j.ijepes.2010.08.024

M. R. Haghifam, H. Falaghi, O. P. Malik, “Risk-based distributed generation placement”, IET Generation, Transmission & Distribution, , Vol. 2, No. 2, pp. 252–260, 2008 DOI: https://doi.org/10.1049/iet-gtd:20070046

J. H. Teng, Y. H. Liu, C. Y. Chen, C. F. Chen, “Value-based distributed generator placements for service quality improvements”, International Journal of Electrical Power & Energy Systems, Vol. 29, No. 3, pp. 268–274, 2007 DOI: https://doi.org/10.1016/j.ijepes.2006.07.008

A. Silvestri, A. Berizzi, S. Buonanno, “Distributed generation planning using genetic algorithms”, International Conference on Electric Power Engineering – PowerTech, Budapest, Hungary, August 29 – September 2, 1999

M. H. Moradi, 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, pp. 66–74, 2012 DOI: https://doi.org/10.1016/j.ijepes.2011.08.023

P. Kayal, C. K. Chanda, “Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement”, International Journal of Electrical Power and Energy Systems, Vol. 53, pp. 795–809, 2013 DOI: https://doi.org/10.1016/j.ijepes.2013.05.047

N. Regis, “Optimal battery sizing of a grid-connected residential photovoltaic system for cost minimization using PSO algorithm”, Engineering, Technology & Applied Science Research, Vol. 9, No. 6, pp. 4905–4911, 2019 DOI: https://doi.org/10.48084/etasr.3094

L. T. Duong, T. T. Nguyen, “Network reconfiguration for an electric distribution system with distributed generators based on symbiotic organisms search”, Engineering, Technology & Applied Science Research, Vol. 9, No. 6, pp. 4925–4932, 2019 DOI: https://doi.org/10.48084/etasr.3166

A. El-Fergany, A. Y. Abdelaziz, “Multi-objective capacitor allocations in distribution networks using artificial bee colony algorithm”, Journal of Electrical Engineering and Technology, Vol. 9, No. 2, pp. 441–451, 2014 DOI: https://doi.org/10.5370/JEET.2014.9.2.441

D. Rama Prabha, T. Jayabarathi, “Optimal placement and sizing of multiple distributed generating units in distribution networks by invasive weed optimization algorithm”, Ain Shams Engineering Journal, Vol. 7, No. 2, pp. 683–694, 2016 DOI: https://doi.org/10.1016/j.asej.2015.05.014

T. T. Nguyen, A. V. Truong, T. A. Phung, “A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network”, International Journal of Electrical Power & Energy Systems, Vol. 78, pp. 801–815, 2016 DOI: https://doi.org/10.1016/j.ijepes.2015.12.030

A. Mohamed Imran, M. Kowsalya, D. P. Kothari, “A novel integration technique for optimal network reconfiguration and distributed generation placement in power distribution networks”, International Journal of Electrical Power & Energy Systems, Vol. 63, pp. 461–472, 2014 DOI: https://doi.org/10.1016/j.ijepes.2014.06.011

T. T. Tran, K. H. Truong, D. N. Vo, “Stochastic fractal search algorithm for reconfiguration of distribution networks with distributed generations”, Ain Shams Engineering Journal, vol. 11, no. 2, June 2020, pp. 389-407, 2019 DOI: https://doi.org/10.1016/j.asej.2019.08.015

R. S. Rao, K. Ravindra, K. Satish, S. V. L. Narasimham, “Power loss minimization in distribution system using network reconfiguration in the presence of distributed generation”, IEEE Transactions on Power Systems, Vol. 28, No. 1, pp. 317–325, 2013 DOI: https://doi.org/10.1109/TPWRS.2012.2197227

K. S. Sambaiah, T. Jayabarathi, “Optimal reconfiguration and renewable distributed generation allocation in electric distribution systems”, International Journal of Ambient Energy, 2019 DOI: https://doi.org/10.1080/01430750.2019.1583604

J. Pierezan, L. D. S. Coelho, “Coyote οptimization algorithm: a new metaheuristic for global optimization problems”, IEEE Congress on Evolutionary Computation (CEC),Rio de Janeiro, Brazil, July 8-13, 2018 DOI: https://doi.org/10.1109/CEC.2018.8477769

M. E. Baran, F. F. Wu, “Network reconfiguration in distribution systems for loss reduction and load balancing”, IEEE Power Engineering Review, Vol. 9, No. 4, 1989 DOI: https://doi.org/10.1109/MPER.1989.4310642

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How to Cite

[1]
Ton, T.N., Nguyen, T.T., Truong, A.V. and Vu, T.P. 2020. Optimal Location and Size of Distributed Generators in an Electric Distribution System based on a Novel Metaheuristic Algorithm. Engineering, Technology & Applied Science Research. 10, 1 (Feb. 2020), 5325–5329. DOI:https://doi.org/10.48084/etasr.3372.

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