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.
CITATION STYLE
Abdelwahab, R. H., El-Habrouk, M., Abdelhamid, T. H., & Deghedie, S. (2018). Load balancing of 3-phase LV network using GA, ACO and ACO/GA optimization techniques. In Advances in Intelligent Systems and Computing (Vol. 868, pp. 1338–1349). Springer Verlag. https://doi.org/10.1007/978-3-030-01054-6_93
Mendeley helps you to discover research relevant for your work.