The objective of optimal feeder reconfiguration of radial distribution system problem is to obtain the best set of branches to be opened, one each from each loop, such that the resulting radial distribution system has the desired performance. This paper presents a feeder reconfiguration problem in the presence of distributed generators to minimize the system power loss while satisfying operatin...

This paper describes the development of genetic algorithms for their application to the reconfiguration problem of radial distribution electrical networks, taking into account the expected occurrence of voltage sags. The reconfiguration is an optimization problem, which is formulated to obtain a radial topology representing the least voltage sags in certain buses. The electric system is represe...

This paper presents a feeder reconfiguration problem to the distribution system with distributed generation. The main objective of this paper is to minimize the system power loss and improve bus voltage profile. The optimization problem is subjected to system constraints consisting of load-point voltage limits, radial configuration format. A method based on genetic algorithm to determine the mi...

This paper presents an efficient algorithm for network reconfiguration associated with DG allocation to minimize real power losses in radial distribution networks. A modified Binary Particle Swarm Optimization algorithm, called Selective Particle Swarm Optimization algorithm (SPSO), is used to solve network reconfiguration problem. Allocation of DG units has been done by sensitivity analysis. A...