Modified particle swarm optimization for an optimal feeder-switch relocation
This paper presents an optimal feeder-switch relocation that is applied by modified Particle Swarm Optimization (MPSO). An inertia weight in Particle Swarm Optimization (PSO) is modified to find the best patterns of distribution configuration. MPSO performance is evaluated by comparison with the conventional inertia weight method. Six different benchmark functions with asymmetric initial range settings are selected as testing functions. A nonlinear inertia weight function is applied in this paper. The results of the experiment illustrate the advantage of MPSO. The optimal feeder-switch relocation in a radial distribution system is used to evaluate the MPSO performance. The results show that MPSO can identify suitable switch locations, based on minimum customer interruption costs.
particle swarm optimization nonlinear inertia weight radial distribution system feeder switch relocation distribution reliability