Computers & Electrical Engineering最新文献_第8页

Fuzzy Cost-risk management of HEV-penetrated power-to-ammonia multi-energy buildings considering the limited production flexibility 考虑有限生产灵活性的混动式电改氨多能建筑模糊成本风险管理

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-18 DOI: 10.1016/j.compeleceng.2025.110717

Yujie Qin , Da Xu , Ziyi Bai , Dongjie Shi

{"title":"Fuzzy Cost-risk management of HEV-penetrated power-to-ammonia multi-energy buildings considering the limited production flexibility","authors":"Yujie Qin , Da Xu , Ziyi Bai , Dongjie Shi","doi":"10.1016/j.compeleceng.2025.110717","DOIUrl":"10.1016/j.compeleceng.2025.110717","url":null,"abstract":"<div><div>The traditional multi-energy building generally focuses on economically optimizing the energy cost, whereas the increasing complexity of energy couplings and conflicting energy cost/risk are often overlooked. This paper proposes fuzzy cost-risk management of a power-to-ammonia (P2A) multi-energy building considering the limited production flexibility. In this model, the solar-wind multi-energy complementarities are exploited on the basis of P2A electrolytic thermo-electrochemical effects, which are converted and regulated via an energy hub. Hybrid electric vehicles (HEVs) are envisioned as multi-energy load and managed through a novel real-time multi-energy supply–demand pricing mechanism. The limited ammonia production flexibility is considered and modeled as a first-order transition to capture the dynamic regulation process of P2A. The formulated cost-risk management problem is captured using the mean-variance method to articulate the risk linked to forecasting uncertainties, which is subsequently addressed through fuzzy optimization to achieve a trade-off between two conflicting objectives. Simulation analyses implemented in a community building environment validate the superiority and effectiveness of the proposed approach, achieving 12.03 % cost reduction and 19.25 % improvement of production flexibility modeling.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110717"},"PeriodicalIF":4.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal placement and sizing of distributed energy resources in active distribution networks under uncertainty: A multi-objective approach using electric eel foraging optimization 不确定条件下主动配电网中分布式能源的最优配置和规模：基于电鳗觅食优化的多目标方法

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-18 DOI: 10.1016/j.compeleceng.2025.110715

A. Elsawy Khalil , Joseph S. Sedky , Ahmed M. Ibrahim , Tarek A. Boghdady

{"title":"Optimal placement and sizing of distributed energy resources in active distribution networks under uncertainty: A multi-objective approach using electric eel foraging optimization","authors":"A. Elsawy Khalil , Joseph S. Sedky , Ahmed M. Ibrahim , Tarek A. Boghdady","doi":"10.1016/j.compeleceng.2025.110715","DOIUrl":"10.1016/j.compeleceng.2025.110715","url":null,"abstract":"<div><div>The integration of Renewable Energy Sources (RESs) into active distribution networks presents a trade-off between loss reduction and operational uncertainties, as well as challenges to network stability. This paper proposes a novel techno-economic multi-objective function (MOF) to optimize the sizing and placement of RESs, fuel cells, and shunt capacitors. The proposed MOF maximizes the hosting capacity and voltage stability while minimizing power losses, voltage deviation, and costs. The proposed MOF utilizes the electric eel foraging optimization (EEFO) algorithm, which was benchmarked against seven metaheuristic algorithms (GA, PSO, GWO, SMA, MPA, AHA, and ARO) and tested on the modified IEEE 69-bus system under uncertainty. Simulation results demonstrate the superior performance of the EEFO-based MOF, achieving a 69.48% reduction in power losses. Under uncertain conditions, it attained the best overall performance: the lowest loss (9.46 kW), minimal cost ($226/h), least land use (5604.3 m²), and highest hosting capacity (55.1%).</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110715"},"PeriodicalIF":4.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and deployment of an integrated network architecture leveraging RabbitMQ for optimizing automation systems in smart logistics 利用RabbitMQ设计和部署集成网络架构，优化智能物流中的自动化系统

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-18 DOI: 10.1016/j.compeleceng.2025.110721

Jihyeok Ryu , Seonghoon Jang , Byeongjun Park , Chaegyu Lee , Jongpil Jeong

{"title":"Design and deployment of an integrated network architecture leveraging RabbitMQ for optimizing automation systems in smart logistics","authors":"Jihyeok Ryu , Seonghoon Jang , Byeongjun Park , Chaegyu Lee , Jongpil Jeong","doi":"10.1016/j.compeleceng.2025.110721","DOIUrl":"10.1016/j.compeleceng.2025.110721","url":null,"abstract":"<div><div>Modern smart factories exhibit significant complexity due to the interaction of multiple subsystems and intricate network topologies. Such complexity often results in redundant communication processes between subsystems, which hinders communication efficiency, limits real-time responsiveness, and reduces overall system reliability. This study proposes an integrated network architecture utilizing RabbitMQ to eliminate redundant communication paths, thereby improving transfer speeds, enhancing real-time functionality, and strengthening system dependability. Experimental evaluation demonstrated that, under identical conditions, the RabbitMQ-based direct transmission method reduced average delay by approximately 30.9 % compared to the legacy interface, while the RabbitMQ-based Message Queuing Telemetry Transport (MQTT) method achieved an 81.4 % improvement. The architecture is designed to facilitate streamlined maintenance and to simplify future upgrades and expansions, ensuring adaptability to evolving operational requirements. By implementing this integrated framework, transportation subsystems within smart factories can be tangibly optimized, contributing to higher productivity and operational stability. This paper presents a comprehensive examination of the design principles, implementation procedures, and practical benefits of the proposed architecture, providing insights into its applicability in Industry 4.0 environments.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110721"},"PeriodicalIF":4.9,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Millimeter-wave radar for intelligent sensing: A comprehensive review of techniques, applications, and challenges 用于智能传感的毫米波雷达：技术、应用和挑战的综合综述

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-17 DOI: 10.1016/j.compeleceng.2025.110696

Yash Soni , Malhaar Goswami , Nishit Prabhakar Shetty , Dhiraj

{"title":"Millimeter-wave radar for intelligent sensing: A comprehensive review of techniques, applications, and challenges","authors":"Yash Soni , Malhaar Goswami , Nishit Prabhakar Shetty , Dhiraj","doi":"10.1016/j.compeleceng.2025.110696","DOIUrl":"10.1016/j.compeleceng.2025.110696","url":null,"abstract":"<div><div>Millimeter-wave (mmWave) radar sensing has established itself as a robust technology across diverse applications, such as automotive, healthcare, security, and smart homes. Its exceptional capacity to function effectively in varying environmental conditions, detect concealed objects, sense physiological signals, and facilitate precise target detection positions it as a pivotal enabler for next-generation sensing solutions. The survey employs bibliometric analysis to critically evaluate the existing literature surrounding mmWave radar, highlighting key research trends, notable publications, and the challenges faced within the field. This work presents a comprehensive examination of mmWave radar-based sensing, detailing its fundamental operating principles, signal processing methodologies, advancements in hardware, and the latest developments in machine learning applications. It also addreses the key challenges in signal processing, including resolution enhancement, environmental adaptability, and data fusion with complementary sensors such as LiDAR and cameras. Furthermore, explored the potential of deep learning techniques to enhance target classification, activity recognition, gesture identification, and healthcare applications while addressing concerns related to accuracy and precision. This survey also sheds light on emerging trends by assessing the strengths, limitations, and prospects of mmWave radar technology. This review aims to provide insightful guidance for researchers and practitioners committed to advancing radar-based sensing and its real-world implementations.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110696"},"PeriodicalIF":4.9,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance improvement and power management based arithmetic optimization algorithm in grid-integrated photovoltaic with electric vehicle batteries systems 基于性能改进和功率管理的光伏电池并网系统算法优化

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-17 DOI: 10.1016/j.compeleceng.2025.110707

AL-Wesabi Ibrahim , Abdullrahman A. Al-Shamma'a , Hassan M. Hussein Farh , Yuqing Yang , Jiazhu Xu

{"title":"Performance improvement and power management based arithmetic optimization algorithm in grid-integrated photovoltaic with electric vehicle batteries systems","authors":"AL-Wesabi Ibrahim , Abdullrahman A. Al-Shamma'a , Hassan M. Hussein Farh , Yuqing Yang , Jiazhu Xu","doi":"10.1016/j.compeleceng.2025.110707","DOIUrl":"10.1016/j.compeleceng.2025.110707","url":null,"abstract":"<div><div>Power quality is paramount for ensuring reliable, stable, and environmentally sustainable electricity supply from distributed renewable energy sources (DRESs). However, conventional controllers in hybrid Photovoltaic–Electric Vehicle Battery (PV–EVB) systems typically suffer from limitations such as steady-state error, harmonic distortion, suboptimal transient response, and voltage overshoot. Addressing these issues, this paper proposes a novel arithmetic optimization algorithm (AOA) to enhance performance and power quality in PV–EVB systems subject to load and environmental variability. The proposed methodology consists of two primary components. First, an AOA-based global maximum power point tracking (GMPPT) controller dynamically adjusts PV output to suppress upward frequency oscillations. Second, AOA is employed to optimize the proportional-integral (PI) controller gains for both the bidirectional DC/DC converter and the single-phase inverter of the EVB system, thereby reducing downward frequency fluctuations. These coordinated strategies effectively stabilize DC link voltage (DLV), control grid frequency, and minimize total harmonic distortion (THD) in the grid current. Quantitative results demonstrate that, AOA-based approach achieves a rapid settling time of 0.3 s, low overshoot (3%), and minimal steady-state error (0.2%), while maintaining high PV power and system efficiency (99%). Thus, the AOA-based control strategy significantly improves the grid-integration of hybrid PV–EVB systems and supports more robust, efficient, and sustainable energy infrastructure.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110707"},"PeriodicalIF":4.9,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of rotor slot size and rotor fault in squirrel cage induction Motor using ridge regression 用脊回归预测鼠笼式异步电动机转子槽大小和转子故障

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-17 DOI: 10.1016/j.compeleceng.2025.110712

J. Anish Kumar

{"title":"Prediction of rotor slot size and rotor fault in squirrel cage induction Motor using ridge regression","authors":"J. Anish Kumar","doi":"10.1016/j.compeleceng.2025.110712","DOIUrl":"10.1016/j.compeleceng.2025.110712","url":null,"abstract":"<div><div>Squirrel Cage Induction Motor (SCIM) is widely used in various industries such as cement, textiles, oil, gas, waste water treatment, mining and water pumps. Continuous monitoring of Average Rotor Slot Width Variation (ARSWV) in SCIM is predicted using Wavelet Transform and Regression such as Short Time Fourier Transform- Multiple Linear Regression (STFT-MLR) and Transverse Dyadic Wavelet Transform-Ridge Regression (TDyWT-RR) during the running condition of the SCIM. The variation of the rotor slot width in SCIM is due to high thermal stress and magnetic flux. In the proposed approach, Symmetrized Dot Pattern (SDP), Scale Invariant Feature Transform (SIFT) and Least Square-Support Vector Machine (LS-SVM) are used to identify the rotor faults in SCIM. Multimodal sensor signals such as vibration, temperature and Gaint Magnetoresistance (GMR) are acquired from SCIM, converted into 2D images through SIFT, and images are obtained for induced faults in the SCIM. Manual measurement of ARSWV is performed through Microscopic Camera (MC). ARSWV >3.5 % damages the rotor, which is experimentally verified from SCIM. The proposed ARSWV method prediction accuracy is 96.7 %, when compared to microscopic camera image based ARSWV measurement. The rotor fault detection using SDP, SIFT and LS-SVM is about 98 % when compared to traditional method.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110712"},"PeriodicalIF":4.9,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An efficient task offloading approach to reduce energy consumption in fog architecture 一种降低雾建筑能耗的高效任务分流方法

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-16 DOI: 10.1016/j.compeleceng.2025.110648

Niva Tripathy , Sampa Sahoo , Suvendu Chandan Nayak , Cheng-Chi Lee

{"title":"An efficient task offloading approach to reduce energy consumption in fog architecture","authors":"Niva Tripathy , Sampa Sahoo , Suvendu Chandan Nayak , Cheng-Chi Lee","doi":"10.1016/j.compeleceng.2025.110648","DOIUrl":"10.1016/j.compeleceng.2025.110648","url":null,"abstract":"<div><div>Fog computing architecture is preferable to cloud architecture for resource availability and communication. It provides efficient storage and data processing services that are accessible from the edge of the Internet. However, since most fog setups are battery-operated, there is a high risk of processing failures in applications. Such failures can delay application request processing and prevent them from meeting time-sensitive deadlines. To mitigate this, applications can be run in a power-conscious manner to prevent processing failures caused by power outages. Task offloading refers to mapping tasks to corresponding virtual machines (VMs) to reduce overall energy consumption while ensuring optimal resource utilization. In this paper, we propose a mechanistic optimization technique called GA-COA, which combines a genetic algorithm with the crayfish optimization algorithm to offload tasks in an energy-efficient manner. We have simulated the model and demonstrated the effectiveness of our proposed approach through a comparative analysis with existing techniques. Our results show a remarkable improvement in performance compared to other methods.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110648"},"PeriodicalIF":4.9,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096382","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial intelligence applied to the stone manufacturing industry: A systematic literature review 人工智能在石材制造业中的应用：系统的文献综述

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-16 DOI: 10.1016/j.compeleceng.2025.110702

Alexandre Silva, Carolina Antunes, Rolando Miragaia, Rogério Luís Costa, Fernando Silva, José Ribeiro

{"title":"Artificial intelligence applied to the stone manufacturing industry: A systematic literature review","authors":"Alexandre Silva, Carolina Antunes, Rolando Miragaia, Rogério Luís Costa, Fernando Silva, José Ribeiro","doi":"10.1016/j.compeleceng.2025.110702","DOIUrl":"10.1016/j.compeleceng.2025.110702","url":null,"abstract":"<div><div>Natural stone has long been used in construction, as its properties provide functional and visual value, and the natural stone market currently holds significant importance in the global economy. It is important to consider integrating new technologies in the production chain to aid the industry in moving forward, increasing profit margins and reducing wasted material. This article reviews recent trends in using Artificial Intelligence and Machine Learning techniques in the industry between 2017 and 2024, following a methodology for Systematic Literature Reviews in computer science. It was found that extensive research has been conducted on the subject of tile classification, with solid solutions proposed, achieving results that can be considered robust enough for industrial application. Other subjects comprise tasks regarding stone cutting and defect detection, as well as variable prediction, and quarry activity monitoring. Some authors propose solutions to integrate new technologies into the complete production chain. While more research needs to be done on specific subjects, this review provides a solid first step to future research.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110702"},"PeriodicalIF":4.9,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145096383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamic selection fusion network for RGB-D salient object detection RGB-D显著目标检测的动态选择融合网络

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-15 DOI: 10.1016/j.compeleceng.2025.110701

Chenxing Xia , Jingjing Wang , Xiuju Gao , Bin Ge , Wenjun Zhao , Kuan-Ching Li , Xianjin Fang , Yan Zhang

{"title":"Dynamic selection fusion network for RGB-D salient object detection","authors":"Chenxing Xia , Jingjing Wang , Xiuju Gao , Bin Ge , Wenjun Zhao , Kuan-Ching Li , Xianjin Fang , Yan Zhang","doi":"10.1016/j.compeleceng.2025.110701","DOIUrl":"10.1016/j.compeleceng.2025.110701","url":null,"abstract":"<div><div>RGB-D salient object detection (SOD) has garnered increasing attention due to the introduction of depth cues. While RGB images and depth maps have inherent differences, they possess strong semantic consistency in representing objects. However, existing methods often fail to consider the consistent representation of the two modalities when exploring cross-modal interaction. To this end, we propose a novel dynamic selection fusion network (DSFNet) for RGB-D SOD by incorporating cross-modal consistency enhancement and cascade feature refinement. Specifically, in the encoding phase, a cross-modal consistency enhancement (CMCE) module is introduced to dynamically enhance both interaction consistency and semantic consistency representations through attention guidance. In the decoding phase, a cascade feature refinement (CFR) module is designed to progressively refine segmentation results from coarse to fine by incorporating multi-scale pooling and enhancement operations. Experimental evaluation shows that our DSFNet outperforms 14 current state-of-the-art RGB-D SOD methods.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110701"},"PeriodicalIF":4.9,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A switched-capacitor cell-based single-phase five-level solar photovoltaic inverter with common-ground integration for zero-leakage grid connection 基于开关电容电池的单相五电平太阳能光伏逆变器，共地集成零漏并网

IF 4.9 3区计算机科学

Computers & Electrical Engineering Pub Date : 2025-09-15 DOI: 10.1016/j.compeleceng.2025.110705

Mohammad Farahani, Mohammad Ali Shamsi-nejad

{"title":"A switched-capacitor cell-based single-phase five-level solar photovoltaic inverter with common-ground integration for zero-leakage grid connection","authors":"Mohammad Farahani, Mohammad Ali Shamsi-nejad","doi":"10.1016/j.compeleceng.2025.110705","DOIUrl":"10.1016/j.compeleceng.2025.110705","url":null,"abstract":"<div><div>Aligned with the appreciation for transformerless inverters in solar photovoltaic (PV) systems connected to a single-phase grid, the transition toward multilevel structures enhances performance with staircase-shaped output profiles. At the same time, the persistent challenge of ground leakage currents from PV parasitic capacitances drives ongoing structural innovations. To address the aforementioned issue, this study proposes an innovative single-phase common-grounded five-level inverter design. It utilizes the switched-capacitor (SC) technique to generate a stepped output voltage from a single DC source while effectively bridging PV-related parasitic capacitors to ensure zero leakage current. The proposed inverter integrates a series-parallel switching mechanism into the SC single-cell, enabling the self-balancing synthesis of voltage levels for both incomplete and complete five-level voltage types. The developed inverter’s capabilities are validated using MATLAB/Simulink for electrical performance, PSIM for temperature-dependent losses, and experimental tests for functionality and feasibility.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"128 ","pages":"Article 110705"},"PeriodicalIF":4.9,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145060595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0