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In this paper, a Hopfield Neural Network based reconfiguration algorithm is proposed for power distribution network, in order to reduce losses in the network and increase reliability at the load points. A suitably constructed energy function is minimized to approach the optimal solution of the reconfiguration problem. The proposed approach is tested successfully on IEEE 33 bus distribution test system.
This paper proposes a new demand-side management (DSM) scheme for autonomous DC microgrid for the future building. The DC distribution system is considered as a prospective system due to the increase of DC loads and DC power sources such as photovoltaic (PV), and battery bank (BB). The BB responds to the changes in power imbalance between PV generation and demand within an autonomous DC microgrid...
Due to increasing penetration of wind power generation, new challenges are originating from the intermittent nature of wind. Some of the challenges are maintaining frequency stability and output power smoothening. These will necessitate the control of wind turbines in order to maintain the stability rather than extracting the maximum power. This paper proposes a new control scheme for the output power...
This paper introduces a novel system based on integration of solar power generator with grid for optimal utilization of energy by minimizing the power drawn from grid. A prototype grid integrated PV system comprising of PV module (2*75 Wp), battery bank (12 V, 2*80 Ah) as an energy storage device and an intelligent, adaptive inverter (300 W) has been developed and successfully implemented at site...
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