In general, power distribution systems have unbalanced feeders due to the unbalanced loading. The devices that dependent on balanced three phase supply are affected by the unbalanced feeders. This necessitates the balancing of feeders. The imbalanced feeder system can be balanced by implementing the phase swapping technique. The phase swapping constitutes a direct, effective and low cost alternative for load balancing We use Particle Swarm Optimization algorithm (PSO) as an optimization tool for customers swapping between phases. Load pattern variation of residential, industrial and commercial models can change optimum operating point of system from the view of operation at minimum power loss. In smart distribution networks, phase balancing can be achieved online or hour by hour. This paper investigates how load pattern variation of residential, industrial and commercial models influence optimal hourly phase balancing for loss minimization with minimum customers re-phasing.

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