Summary A smart distribution system should be able to restore interrupted customers as quickly as possible after outages. By optimal allocation of switching and protective devices, it is possible to enhance the reliability and increase the restoration capacity of the loads after an outage. In this paper, by taking into account uncertainty in the load data, a novel practical method for the simultaneous planning of optimum location of switching devices including tie‐lines and remote‐control switches (RCSs), fault indicators, and cut‐out fuses is proposed. In this paper, a method for minimization of the costs associated with equipment investment and interruption cost has been proposed. Practical parameters such as geographical position and conditions of the understudy network and feeders, and the configuration and possible constraints of the real network from the experts' viewpoint, have been considered in this study. The actual characteristics of the network are extracted by utilizing the analytical hierarchical process (AHP), the geographic information system (GIS) data, and the event recording software. To optimize the problem, the multi‐objective nondominated sorting genetic algorithm II (NSGAII) is employed. The efficacy of the proposed method is proved through simulation of a real medium‐voltage (MV) feeder.

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This study presents design and analysis of a pulse capacitor charge power supply (CCPS) system by employing a novel brushless field assisted induction generator (BFAIG). Unlike the conventional induction generators, in the proposed configuration of this study, in addition to the phase windings, the stator utilises an assisted DC field coil, which is responsible for production of controllable flux inside the machine. As the main salient feature of including the DC field coil which increases controllability of the flux, providing a regulated terminal voltage in a very wide range appropriate for CCPS applications can be pointed out. In addition, due to the lack of brush and winding on the rotor in the proposed BFAIG, stability, long life and high reliability can be addressed as appropriate characteristics of this structure. Moreover, in this study, analytical design of the proposed BFAIG is presented and two-dimensional magnetic-field distribution is performed by using MagNet CAD package to verify the design procedure. On the basis of obtained results from electromagnetic-field analysis, a CCPS is simulated and studied. The simulation results confirm the performance and efficiency of the presented CCPS.

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