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        <title>Frontiers in Electronics | Power Electronics section | New and Recent Articles</title>
        <link>https://www.frontiersin.org/journals/electronics/sections/power-electronics</link>
        <description>RSS Feed for Power Electronics section in the Frontiers in Electronics journal | New and Recent Articles</description>
        <language>en-us</language>
        <generator>Frontiers Feed Generator,version:1</generator>
        <pubDate>2026-04-25T09:48:55.652+00:00</pubDate>
        <ttl>60</ttl>
        <item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2026.1697781</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2026.1697781</link>
        <title><![CDATA[A 98.8%-efficiency, thermally-optimized 48 V-to-12 V DC–DC converter for high-power data centers]]></title>
        <pubdate>2026-04-15T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>Ziqian Zhang</author>
        <description><![CDATA[This work presents the design of a 48 V-to-12 V high-power DC–DC converter based on a resonant switched-capacitor topology. By employing zero-current switching (ZCS) control, the prototype achieves a peak efficiency of 98.8% and a full-load efficiency of 96.1% under a 70 A load condition. To address the stringent power delivery requirements in data center high-performance computing (HPC) applications, particular emphasis is placed on optimizing PCB stack-up and via structures. A comparative study of different substrate designs demonstrates that an optimized multilayer PCB architecture improves the conversion efficiency by an additional 1.5%, while reducing the temperature rise of key power devices by 9.6 °C. Experimental validation confirms that the proposed design not only achieves ultra-high conversion efficiency but also significantly enhances thermal performance. The converter consistently maintains excellent electrical characteristics and thermal stability across a wide load range, meeting the requirements of modern data center power systems for high efficiency, high power density, and high reliability.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2026.1700069</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2026.1700069</link>
        <title><![CDATA[PMU advancements and applications in the AI Era]]></title>
        <pubdate>2026-04-13T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Lei Chen</author><author>Jiapeng Xu</author><author>Ning Li</author><author>Zheng Tian</author><author>Naifu Yan</author><author>Qi Han</author><author>Jie Lou</author>
        <description><![CDATA[Phasor Measurement Units (PMUs) have long been central to wide-area power system monitoring. However, the growing penetration of inverter-based resources (IBRs) and emerging data-driven analytics highlight limitations of conventional phasor abstractions in capturing fast electromagnetic dynamics. This paper provides a critical review of recent PMU advancements, emphasizing the transition from phasor-based measurements toward high-fidelity point-on-wave (PoW) sensing. Unlike existing surveys, this work evaluates the state of the art across three dimensions: (i) hardware evolution toward edge-capable sensing, (ii) AI-enabled estimation and analytics for waveform-scale data, and (iii) deployment strategies in complex environments such as microgrids and data-center-rich grids. Key bottlenecks in data acquisition and processing are summarized, and representative commercial PMU solutions are compared with emerging PoW-oriented technologies from both capability and cost-implication perspectives. An illustrative field case is included to show how waveform-level processing can reveal oscillatory components that may be attenuated under conventional multi-cycle processing. The review concludes with a strategic roadmap to bridge academic AI models with practical grid applications.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2026.1773991</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2026.1773991</link>
        <title><![CDATA[A power coordinated control strategy for an electrically–hydrogen coupled DC microgrid based on fuzzy control and variable-parameter droop]]></title>
        <pubdate>2026-02-24T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yan Wang</author>
        <description><![CDATA[IntroductionPhotovoltaic hydrogen production is a promising approach to improving renewable energy utilization and reducing grid impact. However, integrating hydrogen energy storage into DC microgrids presents significant challenges: pronounced power fluctuations from photovoltaic sources and loads, large variations in hydrogen storage state of hydrogen (SoH), and frequent start–stop cycling of hydrogen equipment triggered by SoH limit violations.MethodsTo address these issues, this paper proposes a comprehensive power coordinated control strategy for electrically–hydrogen coupled DC microgrids. First, a fuzzy logic algorithm is developed to optimize dynamic power allocation between hydrogen energy storage and lithium battery storage, enabling intelligent adaptation to varying operating conditions. Second, microgrid operating states are classified into normal and extreme conditions based on hydrogen SoH thresholds, providing a basis for differentiated control strategies. Third, a variable‐parameter droop control strategy for hydrogen energy storage is introduced, which dynamically regulates the hydrogen tank’s SoH and suppresses the rate of SoH movement toward overcharge and overdischarge regions through adaptive control parameters. This hierarchical framework enhances microgrid regulation capability while maintaining system stability.ResultsSimulation results obtained in MATLAB/Simulink demonstrate the effectiveness and superiority of the proposed strategy, confirming significant improvements in voltage regulation, hydrogen storage management, and equipment protection compared to conventional methods.DiscussionThe proposed strategy achieves comprehensive optimization of voltage stability, energy storage lifetime, equipment protection, and system efficiency through the synergistic integration of fuzzy power allocation and adaptive droop control, confirming its applicability to practical electrically–hydrogen coupled DC microgrid implementations.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1675666</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1675666</link>
        <title><![CDATA[Loss evaluation and performance modelling of power electronics for fault management and renewable energy integration]]></title>
        <pubdate>2025-11-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Stelios Ioannou</author><author>Alexis Polycarpou</author><author>Nicholas Christofides</author><author>Michael Chrysostomou</author><author>Mohamed Darwish</author><author>Christos C. Marouchos</author>
        <description><![CDATA[This work presents the performance and efficiency analysis of solid-state power electronic devices in two complementary applications: fault current limiting and renewable energy integration. A solid-state Fault Current Limiting and Interrupting Device (FCLID) based on a Switched Capacitor (SC) circuit is evaluated for its ability to perform power factor correction and voltage regulation during normal grid operation. Particular focus is given to switching losses in semiconductors, analysed using the PSIM Thermal Module. The 90° phase shift observed between current and voltage in SC circuits is contrasted with in-phase behaviour in DC-DC converters. IGBT losses are calculated and shown to closely align with simulation and literature-based estimates. The second part of the study investigates a grid-connected photovoltaic (PV) system with power smoothing capability, designed to mitigate output fluctuations due to environmental variability. A bidirectional DC-DC converter and a partially controlled lithium-ion battery are used to reduce voltage flicker and improve grid stability. PSIM simulations incorporate MPPT control, inverter modelling, and real-world component characteristics. Losses are primarily concentrated in switching transistors, diodes, and inductors. Across both systems, efficiency is critically evaluated as a primary determinant of performance and economic viability. The simulated and analytical loss results show agreement within 1%, thereby validating the modelling approach. The findings indicate that lower switching frequencies consistently yield overall system efficiencies above 96%, irrespective of whether MOSFETs or IGBTs are employed. However, the study also reveals that reverse recovery losses become negligible compared to conduction losses only at low switching frequencies (<10 kHz) and low current slew rates (di/dt < 100 A/µs). Finally, the analysis demonstrates that practical implementation factors can increase total power losses by up to 21%.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1672188</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1672188</link>
        <title><![CDATA[Adaptive active frequency support strategy for receiving-end MMC-HVDC stations based on rate of change of frequency]]></title>
        <pubdate>2025-11-17T00:00:00Z</pubdate>
        <category>Methods</category>
        <author>Baoye Tian</author><author>Junjie Li</author><author>Hefeng Zhai</author><author>Ye Zhang</author>
        <description><![CDATA[As the proportion of HVDC infeed power increases in the eastern receiving-end power grid, inertia and frequency regulation capability decrease. Utilizing modular multilevel converter (MMC) stations at the receiving-end to provide active frequency support can effectively address this challenge. To this end, this paper first introduces conventional control methods for MMC-based HVDC systems participating in frequency regulation. Subsequently, it establishes a critical mapping relationship between the initial rate of change of frequency (RoCoF) and the subsequent maximum frequency deviation at the converter bus. Building upon this relationship, an adaptive strategy for dynamically adjusting the frequency regulation parameters (virtual inertia and damping coefficient) of the MMC is proposed. This strategy enables the MMC to provide prioritized inertia support during the initial inertial stage and switch to damping support during the recovery stage. Finally, simulations conducted on a modified IEEE 39 bus system validate the effectiveness of the proposed adaptive frequency regulation strategy.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1656864</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1656864</link>
        <title><![CDATA[A high-precision fault diagnosis method for photovoltaic arrays considering the effect of missing data]]></title>
        <pubdate>2025-11-12T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Di Liu</author><author>Xiaojuan Zhu</author><author>Changyu Du</author>
        <description><![CDATA[With the increasing penetration of photovoltaic (PV) systems into power grids, the accurate diagnosis of PV array health has become critical for ensuring the stable operation of power systems. To address the problem of missing data collected from PV arrays and reduced diagnostic accuracy when compound faults occur, we propose a high-precision fault diagnosis model for PV arrays based on Tucker decomposition-sparrow search algorithm (SSA)-Informer-MSCNet. First, a tensor Tucker decomposition-based method is proposed to complete the missing data. Then, an informer network is employed to fully extract the global features. Next, an MSCNet model is proposed to extract multi-scale key features. The SSA is then used to optimize the model’s global parameters. We use the fault dataset to realize the missing data completion and fault diagnosis tests of PV arrays. The results show that the complementary algorithm thus designed has some accuracy. The proposed fault diagnostic model is able to achieve 98.73% and 97.46% accuracy in case of single and compound faults in PV arrays, respectively, and maintains 96.12% accuracy at 30 dB noise.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1693752</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1693752</link>
        <title><![CDATA[Correction: A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries]]></title>
        <pubdate>2025-10-27T00:00:00Z</pubdate>
        <category>Correction</category>
        <author>Tianren Zhao</author><author>Yanhui Zhang</author><author>Minghao Wang</author><author>Wei Feng</author><author>Shengxian Cao</author><author>Gong Wang</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1633951</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1633951</link>
        <title><![CDATA[Overshoot-tolerant primary frequency control of battery energy storage system for battery aging mitigation]]></title>
        <pubdate>2025-09-24T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Tingyun Gu</author><author>Yu Wang</author><author>Yiheng Liu</author><author>Qihui Feng</author><author>Qiao Peng</author>
        <description><![CDATA[Battery energy storage systems (BESSs) are required to provide frequency support to the grid in some cases, which increases the charge-discharge cycles of battery and accelerates its aging, especially in primary frequency control (PFC). However, the conventional PFC of BESS mainly focuses on the frequency support performance without adequately considering battery health. This paper proposes an adaptive PFC of BESS for battery aging mitigation, which adopts a novel overshoot-tolerant principle to recover the state of energy (SOE) of battery. Once the frequency support demand aligns with the SOE recovery demand, the BESS responds to the frequency deviation in a reverse way. Then, the battery can be charged or discharged more vigorously, and the SOE of battery can be adequately maintained at an ideal level. A multi-objective online optimization model is proposed to update the optimal PFC coefficient, which is solved by the non-dominated sorting genetic algorithm (NSGA-II). The simulation results verify the proposed method, which can effectively recover the SOE of battery with an improved frequency support performance. Moreover, the case study results also validate that the aging of battery can be mitigated by recovering the SOE.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1654344</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1654344</link>
        <title><![CDATA[A hybrid LSTM–transformer model for accurate remaining useful life prediction of lithium-ion batteries]]></title>
        <pubdate>2025-08-21T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Tianren Zhao</author><author>Yanhui Zhang</author><author>Minghao Wang</author><author>Wei Feng</author><author>Shengxian Cao</author><author>Gong Wang</author>
        <description><![CDATA[With the widespread application of lithium-ion batteries in electric vehicles and energy storage systems, health monitoring and remaining useful life prediction have become critical components of battery management systems. To address the challenges posed by the high nonlinearity and long-term dependency in battery degradation modeling, this paper proposes a deep hybrid architecture that integrates Long Short-Term Memory networks with Transformer mechanisms, aiming to improve the accuracy and robustness of RUL prediction. Firstly, time-series samples are constructed from raw battery data, and physically consistent temperature-derived features—including average temperature, temperature range, and temperature fluctuation—are engineered. Data preprocessing is performed using standardization and Yeo-Johnson transformation. The model employs LSTM modules to capture local temporal patterns, while the Transformer modules extract global dependencies through multi-head self-attention mechanisms. These complementary features are fused to enable joint modeling of battery health states. The regression task is optimized using the Mean Squared Error loss function and trained with the Adam optimizer. Experimental results on the MIT battery dataset demonstrate the proposed model achieves excellent performance in a 7-step multi-point prediction task, with a Root Mean Square Error of 0.0085, Mean Absolute Percentage Error of 0.0200, and a coefficient of determination of 0.9902. Compared with alternative models such as MC-LSTM and XGBoost-LSTM, the proposed model exhibits superior accuracy and stability. Residual analysis and visualization further confirm the model’s unbiased and stable predictive capability. This study shows that the LSTM-Transformer hybrid architecture offers significant potential in modeling complex battery degradation processes and enhancing RUL prediction accuracy, providing effective technical support for the development of intelligent battery health management systems.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1613402</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1613402</link>
        <title><![CDATA[Exploring the performance of GaN trench CAVETs from cryogenic to elevated temperatures]]></title>
        <pubdate>2025-08-12T00:00:00Z</pubdate>
        <category>Brief Research Report</category>
        <author>X. Wen</author><author>K. Lee</author><author>H. Kasai</author><author>M. Noshin</author><author>C. Meng</author><author>S. Chowdhury</author>
        <description><![CDATA[Fabricated GaN trench current aperture vertical electron transistors (CAVETs) were characterized across a wide temperature range for the first time, including in situ cryogenic measurements down to 10 K and ex situ thermal shock testing at elevated temperatures of 773 K and 1073 K. The device featured a highly conductive AlGaN/GaN channel regrown on p-GaN following trench etching. As the temperature decreased, the field-effect mobility in the regrown two-dimensional electron gas (2DEG) channel increased from 1886 cm2/(V∙s) at 296 K to 3577 cm2/(V∙s) at 10 K. The device maintained a stable threshold voltage (VTH). The subthreshold slope (SS) decreased from 98.32 mV/dec to 51.31 mV/dec, and the Ion/Ioff ratio increased from 3 × 109 to 9 × 1010 over the same temperature range. The specific on-state resistance (Ron,sp) decreased from 1.02 mΩ cm2 at 296 K to 0.586 mΩ cm2 at 10 K. Furthermore, 1-min thermal shock testing was conducted as a preliminary method to assess the resilience of trench CAVET at elevated temperatures. The device maintained field effect transistor (FET) functionality after exposure to 773 K, albeit with reduced current. Testing at 1073 K resulted in more significant performance degradation, including a sharp increase in Ron,sp and failure to achieve pinch-off due to a pronounced surge in gate leakage.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1558929</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1558929</link>
        <title><![CDATA[Flexible control switching method for converter station in LCC-HVDC transmission system]]></title>
        <pubdate>2025-02-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Maolan Peng</author><author>Xiaopeng He</author><author>Ran Xiao</author><author>Lei Feng</author><author>Fangqun Liao</author><author>Wen Jiang</author>
        <description><![CDATA[Line Commutated Converter based High Voltage Direct Current (LCC-HVDC) transmission technology has the advantages of high withstand voltage and large current capability and has been widely used in renewable energy transmission. However, the power intermittency and fluctuation of renewable energy sources (RESs) such as wind and solar power will result in complex and variable operating conditions of the AC power grid. A single converter control strategy is difficult to adapt to all operating conditions, affecting the safety and stability of the system. Therefore, this paper first establishes the state-space model of the LCC-HVDC system with renewable energy at the sending-end and analyzes the small-signal stability and stable operating range of the system under different control strategies. Then, based on the designed control switching principles, a flexible control switching method applicable to the LCC-HVDC system is proposed. This method can not only enhance the stability of the system, but also ensure a smooth switching between different control strategies with minimal disturbance to the system. Finally, a simulation model is built on the PSCAD/EMTDC platform to verify the feasibility of this flexible control switching method. The simulation results show that the disturbance during the control switching is relatively small, and the flexible control switching method can effectively ensure the stable operation of the LCC-HVDC system under different operating conditions.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1553891</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1553891</link>
        <title><![CDATA[Active short-circuit capacity identification method for LCC-HVDC system considering the integration of renewable energy]]></title>
        <pubdate>2025-02-18T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Maolan Peng</author><author>Xiaopeng He</author><author>Jiachen Xiao</author><author>Lei Feng</author><author>Fangqun Liao</author><author>Wen Jiang</author>
        <description><![CDATA[For LCC-HVDC system with renewable energy integration, the randomness and variability of renewable energy will cause wide variations in the short-circuit capacity provided by the AC system. To effectively assess the supporting capability of the AC system, this paper proposes an active short-circuit capacity identification method for LCC-HVDC system considering the integration of renewable energy. First, an equivalent AC system was established based on Thevenin theorem, and the equivalent electromotive force was calculated. Then, the sensitivity of the voltage at the point of common coupling (PCC) to the active and reactive power flowing through the PCC was computed. Through sensitivity analysis, the key factors affecting the identification of the equivalent resistance and reactance were studied. Based on this, an active short-circuit capacity identification method combining the switching of filters and changes in DC power was proposed. Finally, a simulation model of LCC-HVDC system with grid-following wind power integration was built in PSCAD/EMTDC for verification. The results show that the proposed method is applicable to AC systems with different impedance characteristics. Moreover, with the increase of the grid-following renewable energy, the short-circuit capacity provided by the AC system shows a decreasing trend. The proposed method can actively identify the short-circuit capacity of AC system with renewable energy, thus provides a theoretical basis for the development of control strategies for LCC converter station under different AC system strength.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2025.1538379</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2025.1538379</link>
        <title><![CDATA[Time domain analysis of flyback EMI based on distributed parameters theory]]></title>
        <pubdate>2025-02-13T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Baiyi Liu</author><author>Rui Li</author><author>Jianqiang Ji</author><author>Yiming Wang</author><author>Po Xu</author>
        <description><![CDATA[The electromagnetic interference (EMI) is a key issue for most of electric or electronic devices, the researches of suitable analysis methods and solutions absorb much attentions. The research about electromagnetic interference (EMI) is normally based on two approaches (i.e., time domain analysis and frequency domain analysis). The frequency domain analysis is easier to apply theoretical model to analyze the circuit loop impedance of EMI noise which can provide guidance of EMI suppression, but it cannot reflect the real amplitude of EMI noise without the real waveforms of noise sources. The time domain analysis is usually based on circuit simulation to get the EMI noise directly, but it is time consuming. In order to combine the advantages of these two approaches, this paper proposes a high frequency equivalent circuit model of flyback converter and analyze the effect of each distributed parameters on the common mode (CM) and differential mode (DM) noise. The experimental result verified the accuracy and efficiency of the proposed method, which not only can correctly reflect the real waveforms of the circuit, but also can predict the EMI noise based on the constructed waveforms.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2024.1475338</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2024.1475338</link>
        <title><![CDATA[Flexible switching method of control strategy for MMC-HVDC converter based on AC power grid strength]]></title>
        <pubdate>2025-01-08T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Maolan Peng</author><author>Lei Feng</author><author>Xiaoyu Hao</author><author>Meihui Sun</author><author>Wen Jiang</author><author>Chunyi Guo</author>
        <description><![CDATA[Modular Multilevel Converter based High Voltage Direct Current (MMC-HVDC) has been widely used in the large-scale transmission of renewable energy sources (RESs). However, the operating conditions of MMC-HVDC system with RESs are complex and variable, making it challenging to apply a single converter control strategy to different operating conditions, which affects the safe and stable operation of the whole system. In this paper, a flexible switching method of control strategies is proposed for MMC-HVDC converter. Firstly, the state-space model of MMC-HVDC under different control strategies is established, and the small signal stability and stable operation ranges under these control strategies are analyzed. Then, according to the proposed control strategy switching principle, a flexible control switching method for MMC-HVDC converter is proposed. This flexible control switching method ensures a smooth switching between different control strategies and causes a minimal disturbance to the overall system. Finally, a simulation model is established on the PSCAD/EMTDC platform, and the feasibility of the flexible control switching strategy for the MMC-HVDC system is verified. The simulation results show that very small disturbance is observed during the control switching and the flexible control switching strategy can effectively maintain the stable operation of MMC-HVDC system under different operating conditions. The proposed flexible control switching method can be activated according to the change of AC grid strength and it will help improve the stable operation of MMC converter.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2024.1490939</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2024.1490939</link>
        <title><![CDATA[Machine learning-based spatiotemporal fusion method for non-intrusive charging pile fault identification]]></title>
        <pubdate>2024-12-20T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Youjun Duan</author><author>Shi Shu</author><author>Yange Zhao</author><author>Hengfeng Mo</author><author>Haitao Wu</author><author>Chengzhi Hou</author><author>Hao Tian</author>
        <description><![CDATA[Fault detection in charging piles is crucial for the widespread adoption of electric vehicles and the reliability of charging infrastructure. Currently, due to the lack of sufficient fault data for charging piles, achieving stable and accurate fault identification is challenging. Moreover, distinctive fault features are key to accurate fault recognition. To address this, we designed a simulated charging pile system and collected fault data at multiple power levels by manually introducing faults. Furthermore, we proposed a fault identification algorithm based on spatiotemporal feature fusion using machine learning. This algorithm first collects fault data through a sliding window and utilizes Fourier transform to extract frequency domain information to construct temporal features. These features are then fused with spatial current amplitude information to form a distinctive feature set, enabling fault identification based on a machine learning model. Extensive experiments conducted on the constructed dataset show that this method can accurately identify charging pile faults. Compared with random forest and gradient boosted decision tree, the proposed method improves the macro-average score by 2.99% and 7.28%, respectively. We also explored the importance of each feature for fault identification results and the impact of window length on identification outcomes, demonstrating the necessity of the extracted features and the robustness of the proposed method to data resolution.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2024.1459220</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2024.1459220</link>
        <title><![CDATA[Transverse resonance technique for analysis of a symmetrical open stub in a microstrip transmission line]]></title>
        <pubdate>2024-09-18T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Yulia V. Rassokhina</author><author>Vladimir G. Krizhanovski</author>
        <description><![CDATA[Open stubs in a strip (microstrip) transmission line are one of the most common elements of planar circuits used in numerous devices in the various types of wireless systems. Therefore, the urgent problem is to develop an analyzing method for discontinuities in the form of the open stub in a microstrip transmission line at frequencies at which the high-frequency effects must be considered. In the paper, a technique of scattering characteristics calculating on a symmetrical microstrip open stub by transverse resonance method is presented. Boundary value problems for a rectangular volume resonator based on a microstrip transmission line with a symmetric open stub are solved for the three options boundary conditions in the symmetry plane and on the longitudinal boundaries. The intersection of the spectral curves obtained by the numerical solution of the “electric” and “magnetic” boundary value problems determines the minima of a reflection or transmission coefficients of fundamental wave on discontinuities. To algebraize the boundary value problems for the eigen frequencies of volume resonator with discontinuity, the corresponding two-dimensional functions of the magnetic potential are constructed, through which the components of the current density on the strip are determined. The functions of magnetic potential were defined by decomposing them into expansion by Fourier series, which ensures stable convergence of the series and numerical calculation algorithm. The developed technique has been tested by calculating the eigenfrequency spectra of an open microstrip stub using the transverse resonance method on the example of an open stub in a microstrip transmission line with a resonant frequency of about 3.0 GHz. Also, a technique for numerical solutions of “electric” and “magnetic” boundary-value problems for resonators with two electrodynamically coupled symmetric open stubs in a microstrip transmission line is developed.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2024.1369905</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2024.1369905</link>
        <title><![CDATA[Research on the energy transmission mode of a three-port DC–DC converter based on ultra-thin silicon steel]]></title>
        <pubdate>2024-08-27T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Lei Hou</author><author>Ming Zhao</author><author>Yixiao Wang</author><author>Feng Qu</author><author>Dan Shao</author><author>Xin Yang</author><author>Yang Liu</author><author>Zhaoning Yang</author>
        <description><![CDATA[With the introduction of China’s “Carbon Peaking Action Plan Before 2030,” the transformation of the power industry has released huge opportunities and potential. The DC distribution network can well-coordinate the contradiction between distributed power and grid access, fully develop the benefits of distributed energy, and become a new direction for the development of the power industry. However, the current traditional DC–DC converters have problems such as single-topology structure and low power density, which can only complete one-way transmission of energy; hence, the distributed energy cannot be fully utilized. Addressing the problem of distributed energy transfer, this paper is based on a three-port DC–DC converter for a low-voltage DC distribution network to realize energy transfer between the DC distribution network, distributed energy, and low-voltage load. First, the energy transfer modes of the three-port DC–DC converter are introduced. Combined with the converter topology and energy transfer mode, a simplified equivalent model of the converter is established. The voltage gain characteristics and frequency characteristics of this converter are studied. Furthermore, the effects of the excitation inductance to primary resonance inductance ratio parameter k and quality factor Q on the voltage gain characteristics of the converter are discussed. On this basis, the resonant cavity design of the converter is based on the optimal selection of parameters k and Q so that the converter can meet the voltage gain requirements in both forward and reverse operations. The simulation results under different loads verify the reasonableness of the resonant cavity component selection.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2024.1369853</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2024.1369853</link>
        <title><![CDATA[Editorial: Electromagnetic compatibility design and power electronics technologies in modern power systems]]></title>
        <pubdate>2024-02-05T00:00:00Z</pubdate>
        <category>Editorial</category>
        <author>Jian Zhang</author><author>Liang Yuan</author><author>Yonglu Liu</author><author>Jingjie Huang</author><author>Carlos Ugalde Loo</author>
        <description></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2023.1342795</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2023.1342795</link>
        <title><![CDATA[Stable operating limits and improvement methods for hydropower and photovoltaic integration through MMC-HVDC systems]]></title>
        <pubdate>2024-01-16T00:00:00Z</pubdate>
        <category>Original Research</category>
        <author>Maolan Peng</author><author>Lei Feng</author><author>Shuwen Zhang</author><author>Wei Zhao</author>
        <description><![CDATA[This paper addresses the critical need to determine the stable operating limit of modular multilevel converter-based high voltage direct current (MMC-HVDC) systems, particularly concerning the integration of extensive renewable energy sources. To achieve this, the steady-state mathematical model and state-space model of bundled hydropower and photovoltaic integration through MMC-HVDC systems are established. A novel methodology considering steady-state and small-signal stability constraints is proposed to compute the stable operating region of the system. The quantitative assessment reveals that diminishing AC system short-circuit capacities amplify restrictions from small-signal stability constraints, thereby reducing the system's stable operating region. Eigenvalue and participation factor analyses shed light on the pivotal factors affecting small-signal stability in weak AC systems. To expand the system's stable operating region, a supplementary frequency damping control strategy is proposed. The theoretical analysis and calculation results are validated by building a simulation model for the bundled hydropower and photovoltaic integration through MMC-HVDC systems in PSCAD/EMTDC.]]></description>
      </item><item>
        <guid isPermaLink="true">https://www.frontiersin.org/articles/10.3389/felec.2023.1274258</guid>
        <link>https://www.frontiersin.org/articles/10.3389/felec.2023.1274258</link>
        <title><![CDATA[EMI challenges in modern power electronic-based converters: recent advances and mitigation techniques]]></title>
        <pubdate>2023-11-09T00:00:00Z</pubdate>
        <category>Review</category>
        <author>Liang Yuan</author><author>Jian Zhang</author><author>Zheng Liang</author><author>Mingxin Hu</author><author>Genhua Chen</author><author>Wei Lu</author>
        <description><![CDATA[The utilization of power electronic-based converters is gaining momentum across a wide spectrum of industries. However, modern power electronic converters operate at higher frequencies compared to conventional power electronic converters, which can lead to higher rates of change in voltage and current during phase switching, and thus potentially produce more severe conducted and radiated electromagnetic interference (EMI). Their electromagnetic compatibility (EMC) has become a critical research topic, and EMI in high-frequency power electronic-based converters is more complex than that in conventional converters. This review presents a comprehensive survey of recent advancements, EMI design, and analysis of modern power electronic-based converters, focusing on the sources and mechanisms of both conducted and radiated EMI, and mitigating techniques. This review also covers the impact of topology optimization, control strategy design, and packaging design on EMC performance. Addressing emerging EMI issues in modern power electronic device-based converters is essential for ensuring safe and reliable operations. Through strategic design optimization and the implementation of EMI mitigation strategies, modern converters can seamlessly be integrated into diverse applications, offering improved EMI performance as a hallmark of their versatility.]]></description>
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