Abstract
In this paper, a proposal for load balancing of the 3-phase Low Voltage (LV) distribution network is introduced. Further, the paper presents the computational problems associated with the optimization techniques used to evaluate the switching patterns for controlling load balancing switching circuit. In addition, the paper presents Genetic Algorithm (GA) and Ant Colony Optimization (ACO) techniques to generate the fast-switching pattern for the reconfiguration of the LV network. The paper presents a comparison and simulation study between GA and ACO as an optimization technique with two objectives, accuracy and speed. Further, the paper presents a hybrid approach ACO/GA that combines the advantages of both techniques. The presented solution uses ACO as an initial technique then GA is employed to ensure high accuracy with fast response. The simulation showed that the hybrid technique performs better than the GA and ACO.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Saadat, H.: Power System Analysis. McGraw-Hill, Chicago (1999)
Siti, M.W., Nicolae, D.V., Jimoh, A.A., Ukil, A.: Reconfiguration and load balancing in the LV and MV distribution networks for optimal performance. IEEE Trans. Power Deliv. 22(4), 2534–2540 (2007)
Gouda, A., Mostafa, H., Gaber, Y.: Smart electric grids three-phase automatic load balancing applications using genetic algorithms. In: Canadian Conference on Electrical and Computer Engineering, pp. 1–4 (2013)
Mishra, S., Paul, S., Das, D.: A comprehensive review on power distribution network reconfiguration. Energy Syst. (2016)
Goyal, S.K., Singh, M.: Enhanced genetic algorithm based load balancing in grid. 9(3), 260–266 (2012)
Nicolae, D.V., Jordaan, J.A.: Control algorithm of a smart grid device for optimal radial feeder load reconfiguration. In: 2013 9th Asian Control Conference, ASCC 2013, no. 4, pp. 2–6 (2013)
Hermawanto, D.: Genetic algorithm for solving simple mathematical equality problem. arXiv Prepr. arXiv:1308.4675 (2013)
El-Habrouk, M.K.D.M.: A new control technique for active power filters using a combined genetic algorithm/conventional analysis. IEEE Trans. Ind. Electron. 49(1), 58–66 (2002)
Mitchell, M.: An Introduction to Genetic Algorithms, pp. 1–40 (1998)
Lee, Z.-J., Su, S.-F., Chuang, C.-C., Liu, K.-H.: Genetic algorithm with ant colony optimization (GA-ACO) for multiple sequence alignment. Appl. Soft Comput. 8(1), 55–78 (2008)
Zomaya, A.Y.: Observations on using genetic algorithms for dynamic load-balancing. IEEE Trans. Parallel Distrib. Syst. 12(9), 899–911 (2001)
Brand, M., Masuda, M., Wehner, N., Yu, X.-H.: Ant colony optimization algorithm for robot path planning. In: International Conference on Computer Design and Applications (ICCDA 2010), vol. 3, pp. 436–440 (2010)
Ibraheem, S.K., Ansari, A.Q.: Ant colony optimization: a tutorial. MR Int. J. Eng. Technol. 7(2), 35–41 (2015)
Seidlová, R., Poživil, J.: Implementation of ant colony algorithms in Matlab (2005). Humusoft.Cz
Kushwah, P.: A survey on load balancing techniques using ACO algorithm. Int. J. Comput. Sci. 5(5), 6310–6314 (2014)
Marino, M.A.: Ant Colony Optimization Algorithm (ACO); A New Heuristic Approach for Engineering Optimization, vol. 2005, pp. 188–192 (2005)
Monteiro, M.S.R., Fontes, D.B.M.M., Fontes, F.A.C.C.: An ant colony optimization algorithm to solve the minimum cost network flow problem with concave cost functions. In: Proceedings of the 13th Annual Genetic Evolutionary Computation Conference, GECCO 2011, pp. 139–145 (2011)
Rao, S.S.: Engineering Optimization: Theory and Practice (2009)
Su, C., Chang, C., Chiou, J.: Distribution network reconfiguration for loss reduction by ant colony search algorithm. 75, 190–199 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Abdelwahab, R.H., El-Habrouk, M., Abdelhamid, T.H., Deghedie, S. (2019). Load Balancing of 3-Phase LV Network Using GA, ACO and ACO/GA Optimization Techniques. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-01054-6_93
Download citation
DOI: https://doi.org/10.1007/978-3-030-01054-6_93
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01053-9
Online ISBN: 978-3-030-01054-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)