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Summary: This article proposes a brand‐new high voltage gain step‐up DC‐DC converter through the amalgamation of active switched‐inductors (A‐SL) and a coupled‐inductor (CL) unit. This topology stands out due to its capacity to achieve noteworthy high voltage amplification employing a lesser amount of components when put in contrast to other comparable topologies. The voltage stress across the switches is low, which enables the utilization of low‐voltage rating switches to elevate efficiency. Moreover, the division of the input current between the switches of the converter enables the power dissipation to be diminished. The CL is utilized in a way that if the turn ratio of its windings is lessened, the voltage boost will be augmented. Furthermore, the leakage energy is recycled through the output diode; therefore, problems such as voltage spikes across the switches do not occur. Moreover, the output diode turns off naturally without reverse recovery problems. The switching pattern of the converter is simple, and both switches are driven simultaneously, and the converter can be controlled using a simple controller in a closed‐loop control method. In addition, the duty cycle range has no limitations. The operation principle and the steady‐state analysis of the proffered converter are discussed in detail for CCM and DCM. The design considerations and efficiency analysis are provided, followed by small‐signal modeling and controller design. Moreover, to evaluate the performance of the proffered converter among other topologies, a comparison study is conducted in terms of voltage gain, total device count, and voltage tension on the power switches and diodes. Finally, a 200–300 W, 28/400 V lab‐based prototype is implemented and tested to validate the analysis. [ABSTRACT FROM AUTHOR]

This paper proposes a novel single-phase ac–ac Z-source converter based on the Γ-structure. The proposed converter uses a coupled transformer to produce the required gain. The obtained gain can be tuned by varying the turn ratio $\gamma _\Gamma$ of the transformer within the narrow range of $1 < \gamma _\Gamma < 2$. Also, the gain factor increases with decrease of the transformer turns ratio, $\gamma _\Gamma$ . Small transformer turn ratio results in more practical topology in some voltage gains. It makes the transformer design easier and reduces construction cost. Also, in the proposed topology, the input and output voltages share the same ground. In order to avoid voltage and current spikes on the switches, a commutation strategy is proposed and safe commutation is achieved without using a snubber circuit. The operating principles and steady-state analyses are presented to verify the operational concept of the proposed topology. Also, experimental results are given to verify the validation of the proposed converter. [ABSTRACT FROM AUTHOR]

In this study, optimal allocation and planning of power generation resources as distributed generation with scheduling capability (DGSC) is presented in a smart environment with the objective of reducing losses and considering enhancing the voltage profile is performed using the manta ray foraging optimization (MRFO) algorithm. The DGSC refers to resources that can be scheduled and their generation can be determined based on network requirements. The main purpose of this study is to schedule and intelligent distribution of the DGSCs in the smart and conventional distribution network to enhance its operation. First, allocation of the DGSCs is done based on weighted coefficient method and then the scheduling of the DGSCs is implemented in the 69-bus distribution network. In this study, the effect of smart network by providing real load in minimizing daily energy losses is compared with the network includes conventional load (estimated load as three-level load). The simulation results cleared that optimal allocation and planning of the DGSCs can be improved the distribution network operation with reducing the power losses and also enhancing the voltage profile. The obtained results confirmed superiority of the MRFO compared with well-known particle swarm optimization (PSO) in the DGSCs allocation. The results also showed that increasing the number of DGSCs reduces more losses and improves more the network voltage profile. The achieved results demonstrated that the energy loss in smart network is less than the network with conventional load. In other words, any error in forecasting load demand leads to non-optimal operating point and more energy losses. [ABSTRACT FROM AUTHOR]