WSEAS Transactions on Power Systems
Print ISSN: 1790-5060, E-ISSN: 2224-350X
Volume 19, 2024
Load Balancing in Distribution Networks based on SSA Optimized Algorithm
Authors: ,
Abstract: The low voltage power distribution networks are three-phase networks where most of the clients are supplied from a different single phase with different load behavior. This way of supply causes several problems that imply the unbalance in the voltage percentage (UV %) in the three phases, and unbalanced increase in the neutral currents and power loss limits. One of the mitigation techniques for such problems is through swamping customers between phases and applying much simpler and more reliable smart systems to resolve the balancing problems. The introduction of an automated method based on a re-phasing technique for swamping customers between phases solves the balancing problem directly and effectively. The Salp Swarm Algorithm (SSA) with a set of constraints and limitations in the objective function to ensure the lower number of switching processes was proposed in this paper. It is found that phase balancing using SSA is considered an effective and direct method to decrease power losses, minimizing the problem of voltage or current unbalance, and enhance the system stability and efficiency of the power system. This technique was examined on 19 different low-voltage customers. A comparison between the neutral current before and after the treatments shows that it has been reduced from about 24 A to 1.15 A. The power loss was also reduced from 1.8 to 1.2 kW respectively and finally, UV % was reduced from 11-15% to about 1.2%.
Search Articles
Keywords: Salp Swarm Algorithm, Load Unbalance, Unbalance Voltage, Neutral Current, Losses, Rearrangement, Re-phasing, Low Voltage, Distribution System
Pages: 256-264
DOI: 10.37394/232016.2024.19.23