Abnormal Voltages in electrical distribution system is a threat to power system security and may cause equipment damages. Reconfiguration aids in the proper distribution of load and thus improving the voltage profile. The multi objective framework including node voltage deviation as primary objective and power loss and reliability as secondary objectives is formulated. The novel meta heuristic method based on binary particle swarm optimization (BPSO) is employed to find the optimal radial distribution network configuration for an assortment of objective function. The effect of inertia weight, position and population of swarm is deeply investigated. The proposed method has been verified on IEEE 33 and 69 bus radial distribution systems and found to be effective in minimizing node voltage deviation. The impact of the reconfigured system on voltage deviation, power loss and reliability has been studied extensively. BPSO calculations are found to be simple and has good Convergence characteristics in comparison with other meta heuristic techniques.

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Efficiency is turning into more and more necessary in power electronics. New applications are developed to reduce the consumption of en-ergy. Inverters that supply continuous quality power have vast use in solar energy based applications. For a Wind Turbine Generation sys-tem with neutral-point-clamped (NPC) topology in a back to back converter , good efficiency is provided when operated at high power. In NPC topology totally twelve switches are present. Input current distortion, torsion vibration and output current distortion is caused by open switch fault within NPC inverter and rectifier of the consecutive converter. Wind Turbine Generation systems will be erroneous due to such faults. Open-switch fault detection methodology is necessary for consecutive converters for enhancing the output of Wind Turbine Genera-tion systems. Our proposed work checks NPC rectifier and inverter for outer and inner open switch faults. Additionally for all the possible open-switch faults , a novel open-switch fault detection methodology within the back to back converter has been presented in this paper.