In order to enhance the efficiency and reliability for distributed microgeneration, a modular grid-connected photovoltaic (PV) generation system is proposed. It consists of dc–dc converters dc–ac inverters. The outputs converter inputs inverter share dc bus. AC current coupling between parallel-operated inverters, which key issue in this system, has been investigated. A current-decoupling method proposed implemented by regulating currents split-filter inductors, respectively. An optimal...

A systematic method to generate three-port half-bridge converters (TPHBCs) interfacing a renewable source, storage battery, and load is proposed for stand-alone power system application. Allowing dc bias current in the transformer, primary circuit of converter can function as synchronous rectification buck converter, by which flow path be configured between source connected parallel with one dividing capacitor. To make voltage on any two three ports independently regulated, postregulation...

A new method for deriving isolated buck-boost (IBB) converter with single-stage power conversion is proposed in this paper and novel IBB converters based on high-frequency bridgeless-interleaved boost rectifiers are presented. The semiconductors, conduction losses, switching losses reduced significantly by integrating the interleaved into full-bridge diode-rectifier. Various bridgeless harvested different types of converters, including conventional high step-up voltage multiplier coupled...

Three-phase grids imbalance causes serious alternating input current distortion in three-phase pulsewidth modulation (PWM) rectifiers where the conventional control scheme is employed. In this article, a generalized Clarke transformation proposed to convert unbalanced sinusoidal quantities two orthogonal with equal amplitudes. Then, these could be converted direct by Park transformation. Furthermore, based on transformation, an enhanced dual-loop (EDLC) PWM rectifier synchronous rotating...

A new concept of dual-dc-port asymmetrical multilevel inverter (DP-AMI), which is able to interface a low-voltage dc port, high-voltage and an ac port simultaneously using only one topology, presented in this paper. systematic method derive the DP-AMI proposed. With proposed DP-AMI, source, e.g., photovoltaic (PV) modules or battery, can directly supply power load within single-stage conversion. Therefore, comparison with traditional two-stage dc/ac conversion system, stages are reduced...

A systematic method to derive the topologies of dual-input (DI) dual-buck inverter (DBI) is proposed in this paper. family DI-DBIs harvested by replacing buck switching bridges a traditional DBI with DI pulsating voltage-source cells. In comparison DBIs, an additional dc-input port for low voltage energy source interface introduced into inverters. With extended low-voltage port, dc source, whose lower than peak amplitude ac output voltage, able supply power within single-stage conversion...

As time series data with internal correlation, networks traffic can be used for abnormal detection using Recurrent Neural Network (RNN) and its variants, but existing models are difficult to calculate in parallel, gradient explosion or vanishing easily occurs. To address this problem, we propose a Bidirectional Independent (BiIndRNN) parallel computation adjustable gradient, which extract the bidirectional structural features of by forward backward input capture spatial influence flow....

Torque ripples caused by the particular doubly salient structure of electromagnetic machine (DSEM) restrict its application in field requiring high performance. This article employs current given function (CGF) to propose a torque ripple reduction strategy for DSEM enhance capability. The optimal profile minimizing copper loss is obtained based on theoretical analysis. It found that three-phase currents are distributed according phase coefficient represents capability each phase. Then,...

A three-port half-bridge converter for stand-alone renewable power system is proposed. The converter, featuring one input port, bidirectional port and isolated output derived by integrating half-bridge, forward-flyback Buck topologies. magnetizing inductor of the transformer functions as an inductor, which a flow path can be configured between source battery, synchronous rectification circuit provides free-wheeling current inductor-transformer. through three ports controlled with two...

Among deep learning methods, convolutional neural networks (CNNs) are able to extract features automatically and have increasingly been used in intelligent fault diagnosis studies. However, studies seldomly concentrate on the weakness associated with a highly imbalanced distribution of types due different failure rates when multiple faults easily confused single faults. To solve these problems, this paper developed stochastic discrete-time series network (SDCNN) method based random...

This paper develops an improved non dominated sorting genetic algorithm II (NSGA-II) based on objective importance vector γ, abbreviated as γ-NSGA-II. Different levels for the multiple objectives are incorporated in vector, which is applied to determine individual selection of individuals critical layer. And such strategy developed NSGA-II order obtain optimized solution a task has with different importance. The differences between γ-NSGA-II and traditional discussed detail. A notch filter...

A dual-input dual-buck inverter (DI-DBI) with integrated boost converters (IBCs) is proposed for grid-connected applications. The DI-DBI composed of two buck-type inverter-legs and IBCs. Two renewable dc sources, independent maximum power point tracking, can be realized the DI-DBI. IBCs are used to provide a constant stable dc-bus voltage inverter-legs, enabling operate well, even when source varies widely lower than peak amplitude grid voltage. Unlike conventional two-stage dc-ac inverter,...

Intelligent diagnosis based on deep learning can reveal the health status of running equipment and is attracting attention for an increasing number industrial systems. However, two challenges, namely, construction models accommodation different data distributions, restrict effective application such methods. To bridge these gaps, this article proposes intelligent diagnostic method 2-D-gcForest <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...