Optimal Selection of Conductor Sizes in Three-Phase Asymmetric Distribution Networks Considering Optimal Phase-Balancing: An Application of the Salp Swarm Algorithm

This paper presents a new methodology to simultaneously solve the optimal conductor selection and phase-balancing problems in unbalanced three-phase distribution systems. Both were represented by means of mathematical model known as Mixed-Integer Nonlinear Programming (MINLP) model, objective function was minimization total annual operating costs. The latter included costs associated with energy losses, investment conductors per network segment, phase reconfiguration at each node system. To problem addressed this study, master–slave implemented. master stage employs discrete version Salp Swarm Algorithm (SSA) determine set be installed line, well connections nodes that compose Afterward, slave uses backward/forward sweep power flow method value fitness individual provided stage. Compared those Hurricane-based Optimization (HOA) Sine Cosine (SCA), numerical results obtained proposed solution IEEE 8- 25-node test systems demonstrate its applicability effectiveness. All validations performed MATLAB.