In modern micro-grid systems, the control of power electronic converters faces numerous
challenges, including the uncertainty of parameters of the controlled objects, variations in …

To improve the conversion efficiency of the dual-active-bridge converter, this article
demonstrates a variable-frequency triple-phase-shift (TPS) control strategy with the help of …

With the increasing popularity of renewable energy and electric terminal equipment, the
large-scale application of isolated bidirectional dc–dc converters (IBDCs) is growing. Among …

For the performance modeling of power converters, the mainstream approaches are
essentially knowledge-based, suffering from heavy manpower burden and low modeling …

Environmental and energy security concerns lead to the continuous displacement of
traditional fossil fuel-based power generation to power electronics interfaced distributed …

Deep reinforcement learning (DRL) has scored unprecedented success in finding near-
optimal solutions in high-dimensional stochastic problems, leading to its extensive use in …

In this article, a novel active disturbance rejection control (ADRC) based on deep
reinforcement learning (DRL) is proposed to improve the performance of permanent magnet …

As the grid impedance increases, the grid strength gradually becomes weak. In order to
have good output characteristics in weak grid, grid-forming (GFM) inverters with LCL filter …

传统电力电子变换器设计多采用顺序设计法, 依赖人工经验. 近年来, 电力电子自动化设计可通过
计算机快速优化设计电力电子系统而备受关注. 该文以有源中点钳位(ANPC) …

The optimal design of power converters often requires a huge number of simulations and
numeric analyses to determine the optimal parameters. This process is time-consuming and …