Journal of Power Electronics最新文献_第6页

Improved hybrid modulation strategy with low solution complexity for dual-active-bridge converters 改进型混合调制策略，降低双主动桥式转换器的解决方案复杂度

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-06-21 DOI: 10.1007/s43236-024-00866-6

Jinhao Shen, Jianwei Wu, Jian Zhang, Lin Qiu, Youtong Fang, Xiaoyan Huang

{"title":"Improved hybrid modulation strategy with low solution complexity for dual-active-bridge converters","authors":"Jinhao Shen, Jianwei Wu, Jian Zhang, Lin Qiu, Youtong Fang, Xiaoyan Huang","doi":"10.1007/s43236-024-00866-6","DOIUrl":"https://doi.org/10.1007/s43236-024-00866-6","url":null,"abstract":"The dual-active-bridge converter (DAB) is widely used in solid-state transformers. However, its efficiency improvement is always subject to phase shift modulation (PSM) since obtaining optimal results under PSM is difficult. Hybrid modulation provides a solution to this problem. However, present hybrid modulation has not been fully deduced. This paper proposes an improved hybrid modulation strategy. When compared to the traditional method, the proposed strategy has the characteristics of lower solution complexity and greater performance in terms of efficiency improvement. In this paper, the complete derivation process for the proposed hybrid modulation is given and the boundary conditions for different modes of the hybrid modulation are fully discussed. In addition, based on the published losses model, the numerical results of the current stress and total losses under the proposed hybrid modulation, the traditional single-phase-shift modulation, and a previously published triple-phase-shift modulation are compared. Finally, the correctness of the derivation process and efficiency improvement under the proposed hybrid modulation are verified on an experimental prototype.","PeriodicalId":50081,"journal":{"name":"Journal of Power Electronics","volume":"12 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141510347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-mode switching and charging area division of multi-transmitter IPT system 多发射机 IPT 系统的多模式切换和充电区域划分

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-06-04 DOI: 10.1007/s43236-024-00855-9

Da Li, Pan Sun, Kai Ji, Yan Liang, Yilin Liu, Xusheng Wu

引用次数: 0

Frequency-adaptive DLIA–PLL-based current harmonic compensation for single-phase grid-interfaced inverters 基于频率自适应 DLIA-PLL 的单相并网逆变器电流谐波补偿技术

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-06-04 DOI: 10.1007/s43236-024-00856-8

Abdur Rehman, Tawfique Uzzaman, Woojin Choi

{"title":"Frequency-adaptive DLIA–PLL-based current harmonic compensation for single-phase grid-interfaced inverters","authors":"Abdur Rehman, Tawfique Uzzaman, Woojin Choi","doi":"10.1007/s43236-024-00856-8","DOIUrl":"https://doi.org/10.1007/s43236-024-00856-8","url":null,"abstract":"The growing focus on clean energy is driving the extensive usage of grid-connected inverters (GCIs) and nonlinear loads. The adoption of these nonlinear components causes disturbances, such as harmonic injection, frequency variation, and DC offset, which reduce the power quality of the grid. This reduced power quality induces unstable operation and deterioration of sensitive equipment. The organizations of electrical engineers have defined some standards such as IEEE 519 and P1547 to maintain the power quality of GCIs by setting the limits for harmonics, phases, and frequency variations. Harmonic elimination with grid synchronization methods is used for GCIs to meet the standards. However, the performance of these methods degrades for distorted grid conditions such as DC offset and harmonics. To rectify the mentioned issues, this study proposes a harmonic compensation method using a frequency-adaptive digital lock-in amplifier-based phase-locked loop (DLIA–PLL). The aim is to provide accurate harmonic detection and elimination by performing frequency and phase tracking for grid synchronization. Simulation and experimental results for a 5 kW inverter in an environment with high-total harmonic distortion (THD) conditions are presented to validate the performance of the proposed harmonic compensation with DLIA–PLL. Yokogawa WT1600, a power analyzer, is used to provide reference THD.","PeriodicalId":50081,"journal":{"name":"Journal of Power Electronics","volume":"33 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141251961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

M3C outer loop control strategy based on variable universe fuzzy PI control 基于可变宇宙模糊 PI 控制的 M3C 外环控制策略

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-06-03 DOI: 10.1007/s43236-024-00858-6

Xinghe Ma, Yue Pan

引用次数: 0

Photovoltaic DC arc fault detection method based on deep residual shrinkage network 基于深度残差收缩网络的光伏直流电弧故障检测方法

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-05-31 DOI: 10.1007/s43236-024-00840-2

Penghe Zhang, Yang Xue, Runan Song, Xiaochen Ma, Dejie Sheng

{"title":"Photovoltaic DC arc fault detection method based on deep residual shrinkage network","authors":"Penghe Zhang, Yang Xue, Runan Song, Xiaochen Ma, Dejie Sheng","doi":"10.1007/s43236-024-00840-2","DOIUrl":"https://doi.org/10.1007/s43236-024-00840-2","url":null,"abstract":"Distributed photovoltaic systems have encountered unprecedented opportunities for development given their environmentally friendly nature and flexible power generation characteristics. However, numerous connecting lines and taps within the distributed photovoltaic system can be subject to insulation issues, which will consequently cause direct current (DC) arc faults and severe electrical fire hazards. Moreover, the power semiconductor devices in the photovoltaic inverter can introduce common-mode noises to the DC current, resulting in unwanted tripping of the DC arc fault detector. The study proposes an arc fault detection method utilizing a deep residual shrinkage network (DRSN) to address this issue, thereby precisely detecting DC arc faults. A test platform for series arc faults in photovoltaic systems is built. The arc current data are collected for characteristic analysis in time and frequency domains to determine which bandwidth is preferred for the algorithm. The model’s depth is increased by introducing residual connections, enhancing its feature extraction, and improving noise reduction capabilities. The residual shrinkage network has been enhanced to prevent a computation increase from increased network depth. Introducing a convolutional auto-encoder for data dimension reduction has decreased neural network parameters, thereby improving training speed. A prototype for detecting photovoltaic DC arc faults was constructed using Raspberry Pi 4B, validating the practical application value of the proposed method. Experimental results demonstrate that the prototype for detecting photovoltaic DC arc faults successfully fulfills the real-time detection standard of the conduction test.","PeriodicalId":50081,"journal":{"name":"Journal of Power Electronics","volume":"24 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141197331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low static power consumption GaN-based CMOS-like inverter design 低静态功耗、基于氮化镓的类 CMOS 逆变器设计

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-05-31 DOI: 10.1007/s43236-024-00847-9

Zilong Wang, Jiawei Chen, Yue Su, Xu Zhang, Lixia Zhao

{"title":"Low static power consumption GaN-based CMOS-like inverter design","authors":"Zilong Wang, Jiawei Chen, Yue Su, Xu Zhang, Lixia Zhao","doi":"10.1007/s43236-024-00847-9","DOIUrl":"https://doi.org/10.1007/s43236-024-00847-9","url":null,"abstract":"It is necessary to achieve current matching for GaN-based CMOS-like inverters. However, due to the low hole mobility of GaN p-FET devices, the weak output capacity of GaN p-FET devices makes it difficult to obtain current matching with n-FET devices in the off-state, which hinders the development of GaN-based CMOS-like inverters. In this study, a GaN-based CMOS-like device with an AlGaN back barrier layer is designed and its off-state leakage current is compared with that without an AlGaN back-barrier layer. The results show that the 2DEG confinement in the GaN-based n-FET device with an AlGaN back barrier layer can be enhanced and the leakage current is reduced from 10–3 A to 10–6 A in the off-state. This is accomplished without influencing the current of the GaN-based p-FET device in the off-state, resulting in a good current consistency between the n-FET device and the p-FET device in the off-state. The static power consumption is 4.5 µW for GaN-based CMOS-like inverters with an AlGaN back barrier structure when it is operated at Vdd = 5 V. The rise time (tr) and fall time (tf) of the GaN-based CMOS-like inverters are 4 μs and 0.12 μs, respectively. The low noise margin (NML) is 1.90 V and the high noise margin (NMH) is 2.55 V. This work lays a foundation for the development of the future of GaN-based integrated ICs.","PeriodicalId":50081,"journal":{"name":"Journal of Power Electronics","volume":"8 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141197365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Open-fault diagnosis and tolerant control of a dual inverter fed open-end winding interior permanent magnet synchronous motor 双变频器馈电开口绕组内部永磁同步电机的开口故障诊断和容差控制

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-05-27 DOI: 10.1007/s43236-024-00854-w

Hyung-Woo Lee, Kyo-Beum Lee

引用次数: 0

Physical model and long short-term memory-based combined prediction of photovoltaic power generation 基于物理模型和长短期记忆的光伏发电综合预测

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-05-25 DOI: 10.1007/s43236-024-00782-9

Yaoyu Wu, Jing Liu, Suhuan Li, Mingyue Jin

{"title":"Physical model and long short-term memory-based combined prediction of photovoltaic power generation","authors":"Yaoyu Wu, Jing Liu, Suhuan Li, Mingyue Jin","doi":"10.1007/s43236-024-00782-9","DOIUrl":"https://doi.org/10.1007/s43236-024-00782-9","url":null,"abstract":"Solar energy is clean and pollution free. However, the evident intermittency and volatility of illumination make power systems uncertain. Therefore, establishing a photovoltaic prediction model to enhance prediction precision is conducive to lessening the uncertainty of photovoltaic (PV) power generation and to ensuring the safe and stable operation of power grid scheduling. The radiation from the sun to the Earth has a certain regularity, which can be estimated under ideal weather conditions. However, the radiation is affected by climate, cloud cover, and other reasons. Therefore, this paper puts forward a PV prediction model combining a physical model and a neural network that can modify solar radiation in complex weather through the neural network to enhance the accuracy of PV power prediction. First, a solar radiation model (SRM) is established by using the solar radiation mechanism to estimate the sum radiation value on the horizontal plane. Then the slope radiation value received by the PV panel is calculated by the slope irradiance conversion method. Second, the main factors that greatly influence PV power are screened out by the Pearson method. The calculated slope radiation and the main influencing factors are taken as inputs. The long short-term memory network (LSTM) is selected to set up the SRM-LSTM PV power prediction method. The significance of the suggested method is verified by the true data from Alice Springs, Australia. The results show that when compared with the backpropagation (BP) prediction method, the MAE and RMSE were reduced by 22.18% and 33.89% under complex weather conditions, respectively. When compared with the LSTM prediction method, the MAE and RMSE were reduced by 15.99% and 21.73%, respectively. These results demonstrate high accuracy.","PeriodicalId":50081,"journal":{"name":"Journal of Power Electronics","volume":"36 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141153317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modified all-GaN multidevice interleaved boost converter topology for hybrid electrical vehicles and its miniaturization 用于混合动力汽车的改进型全氮化镓多器件交错升压转换器拓扑及其微型化

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-05-24 DOI: 10.1007/s43236-024-00849-7

Amira Tandirovic Gursel, Ali Zülfikaroğlu

{"title":"Modified all-GaN multidevice interleaved boost converter topology for hybrid electrical vehicles and its miniaturization","authors":"Amira Tandirovic Gursel, Ali Zülfikaroğlu","doi":"10.1007/s43236-024-00849-7","DOIUrl":"https://doi.org/10.1007/s43236-024-00849-7","url":null,"abstract":"In inverter technology for hybrid and electric vehicles, some properties, such as low weight, compactness, small size, high power density, and high efficiency, are highly required because they affect vehicle production costs and fuel economy. Bringing reliable and cheap devices with high response rates into being, which is in close relation with circuit design, miniaturization, and appropriate selection of components, have become one of the main topics of scientific research in electronics. One of the main obstacles to achieving these goals is the bulkiness of inductors and capacitors. These essential building blocks of the converter topology are used to reduce input current and output voltage ripples, which are closely related to thermal stress in batteries, affecting their lifespan. This study proposes a GaN-based multidevice interleaved boost converter (MDIBC) topology for hybrid vehicles. The topology is investigated in terms of power loss, efficiency, current and voltage ripples, and size of passive components under two salient case studies at various switching frequencies. In both cases, current and voltage are reduced by smaller values of passive components without sacrificing efficiency. Efficiencies ranging between 97.34 and 97.83%, are achieved with passive components remaining in the benchmark converter.","PeriodicalId":50081,"journal":{"name":"Journal of Power Electronics","volume":"57 1","pages":""},"PeriodicalIF":1.4,"publicationDate":"2024-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141153360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three-phase three-level boost inverter with self-balanced capacitor voltage 带自平衡电容器电压的三相三电平升压型逆变器

IF 1.4 4区工程技术

Journal of Power Electronics Pub Date : 2024-05-24 DOI: 10.1007/s43236-024-00837-x

Bihua Hu, Han Yan, Zhi Zhang, Jinqing Linghu, Yuqing Liao, Xiafei Long

引用次数: 0