IEEE Transactions on Industry Applications最新文献_第6页

Reliability Analysis of Power Grids Considering Component Failures of Variable Energy Resources 考虑变能源组件故障的电网可靠性分析

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-09 DOI: 10.1109/TIA.2025.3577149

Dilip Pandit;Ram Khelawan Saket;Atri Bera;Niannian Cai;Nga Nguyen

{"title":"Reliability Analysis of Power Grids Considering Component Failures of Variable Energy Resources","authors":"Dilip Pandit;Ram Khelawan Saket;Atri Bera;Niannian Cai;Nga Nguyen","doi":"10.1109/TIA.2025.3577149","DOIUrl":"https://doi.org/10.1109/TIA.2025.3577149","url":null,"abstract":"This paper proposes an improved model for the reliability assessment of power systems considering component failures of variable energy resources (VER). The inherent intermittency of VER such as solar photovoltaic (PV) and wind farms, along with their susceptibility to component failures, present significant challenges to reliable system operation. These issues, combined with power grid operation and network constraints, complicate the reliable operation of VER-integrated power systems. To address these concerns, this paper introduces a reliability assessment framework that considers VER input variability, its impact on component availability, and their resulting impact on overall system reliability. Stochastic models based on discrete Markov processes are developed to incorporate variable irradiance, wind speeds, and their effects on PV and wind component failure rates. A next-event and state transition-based approach is then developed to integrate the stochastic models into a mixed-timing sequential Monte Carlo simulation framework for composite reliability assessment. Case studies on the RTS-GMLC system demonstrate the effectiveness of the proposed model in evaluating the reliability of VER-integrated systems.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"8748-8759"},"PeriodicalIF":4.5,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Performance Evaluation of Constant Voltage and Reactive Power Control Strategies for Renewable-Integrated Grid-Connected EV Charging Stations 可再生能源并网电动汽车充电站恒压与无功控制策略性能评价

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-06 DOI: 10.1109/TIA.2025.3576748

Sk. A. Shezan;Md. Fatin Ishraque;Kamil Ahmad;Md. Nimul Hasan;GM Shafiullah;Md Moktadir Rahman

{"title":"Performance Evaluation of Constant Voltage and Reactive Power Control Strategies for Renewable-Integrated Grid-Connected EV Charging Stations","authors":"Sk. A. Shezan;Md. Fatin Ishraque;Kamil Ahmad;Md. Nimul Hasan;GM Shafiullah;Md Moktadir Rahman","doi":"10.1109/TIA.2025.3576748","DOIUrl":"https://doi.org/10.1109/TIA.2025.3576748","url":null,"abstract":"This research presents an innovative Constant Reactive Power (Q) and Constant Voltage (V) controlled renewable energy-based Electric Vehicle (EV) Charging Station (EVCS). The proposed approach addresses challenges such as limited renewable energy sources, high operational costs, and grid instability, aiming to enhance EV charging efficiency. By integrating renewable resources like wind turbines, solar photovoltaic panels, and energy storage systems, the station can consume electricity during off-peak hours and supply power to the grid when demand is high. The innovation lies in applying Constant V and Q control to stabilize voltage and frequency, ensuring the system’s resilience under fault conditions. Simulation results demonstrate the controllers’ robustness, with voltage and frequency returning to nominal values within 0.4 seconds, indicating rapid recovery after faults. The proposed strategy offers a scalable and cost-effective framework for EV charging stations, adaptable to regions with similar challenges. Additionally, it contributes to grid stability, enhances energy efficiency, and reduces carbon footprints by integrating renewable energy. This solution optimizes renewable resource usage and supports the transition to sustainable energy systems, providing a reliable and efficient charging infrastructure for the future.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"8712-8721"},"PeriodicalIF":4.5,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Unified Diagnosis and Localization Method of Open Switch Faults in Voltage Source Inverters-Fed Synchronous Reluctance Motors 电压源逆变器同步磁阻电动机开路故障的统一诊断与定位方法

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-06 DOI: 10.1109/TIA.2025.3577113

Muhammad Salman;Jacopo Riccio;Sejir Khojet El Khil;Pericle Zanchetta;Chiara Boccaletti

引用次数: 0

Optimal Energy Management for Residential House Aggregators with Uncertain User Behaviors Using Deep Reinforcement Learning 基于深度强化学习的不确定用户行为的住宅聚合器最优能量管理

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-06 DOI: 10.1109/TIA.2025.3577145

Yujun Lin;Linfang Yan;Hongxun Hui;Qiufan Yang;Jianyu Zhou;Yin Chen;Xia Chen;Jinyu Wen

{"title":"Optimal Energy Management for Residential House Aggregators with Uncertain User Behaviors Using Deep Reinforcement Learning","authors":"Yujun Lin;Linfang Yan;Hongxun Hui;Qiufan Yang;Jianyu Zhou;Yin Chen;Xia Chen;Jinyu Wen","doi":"10.1109/TIA.2025.3577145","DOIUrl":"https://doi.org/10.1109/TIA.2025.3577145","url":null,"abstract":"This paper addresses the home energy management (HEM) problem for a large number of residential houses, which can be regarded as a high-dimensional optimization problem. To cope with the high-dimensional issue, the concept of the aggregator is utilized to reduce the state and action space. And a two-stage deep reinforcement learning (DRL) based approach is proposed for the aggregators to track the schedule from the superior grid and guarantee the operation constraints. In the first stage, a DRL control agent is set to learn the optimal scheduling strategy interacting with the environment based on the soft-actor-critic (SAC) framework and generate the aggregate control actions. In the second stage, the aggregate control actions are disaggregated to individual appliances considering the users’ behaviors. The uncertainty of the EV charging demand is quantitatively described by the driver’s experience. An aggregate anxiety concept is introduced to characterize both the driver’s anxiety on the EV’s range and uncertain events. Finally, simulation studies verify the effectiveness of the proposed approach under dynamic user behaviors, and the comparisons also show the superiority of the proposed approach over the method mentioned in benchmarks.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"8736-8747"},"PeriodicalIF":4.5,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Single-Phase High-Frequency Resonant Direct AC–AC Converter With Constant Off-Time Pulse Coding Modulation for Fluid Water Induction Heating 用于流体水感应加热的恒断时脉冲编码调制单相高频谐振直交变换器

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-06 DOI: 10.1109/TIA.2025.3577138

Guiyi Dong;Tomokazu Mishima;Shiqiang Liu;Ching-Ming Lai;Liang-Rui Chen

{"title":"Single-Phase High-Frequency Resonant Direct AC–AC Converter With Constant Off-Time Pulse Coding Modulation for Fluid Water Induction Heating","authors":"Guiyi Dong;Tomokazu Mishima;Shiqiang Liu;Ching-Ming Lai;Liang-Rui Chen","doi":"10.1109/TIA.2025.3577138","DOIUrl":"https://doi.org/10.1109/TIA.2025.3577138","url":null,"abstract":"Induction heating (IH) has been widely applied in both industrial and domestic environments as a clean, efficient, energy-saving, and high safety electric heating technology. This paper proposes a new pulse modulation for single-phase direct ac–ac converters in fluid water IH systems, which is defined as constant off-time pulse coding modulation (COT-PCM). The proposed pulse modulation is suitable for fixed-frequency power control in a direct ac–ac converter, featuring high performances of skin effect, reduction of input (utility line) current fluctuations, and minimization of the size and capacity of the filtering components. Furthermore, this approach can overcome the technical issues of conventional pulse modulations such as pulse frequency modulation (PFM) and pulse density modulation (PDM) such as audible noises with respect to power controller. The essential performances of the proposed pulse modulation are demonstrated by an experiment based on a 2 kW-40 kHz prototype for a fluid water IH appliances in home and consumer appliances. The high-frequency load power regulation, power control range & resolution, power conversion efficiency, and soft-switching of a bidirectional switch are revealed, after which the validity is evaluated from a practical point of view.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"9465-9480"},"PeriodicalIF":4.5,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Implementation and Operation of Hybrid Multilevel and Multi-Pulse Power Converters for High-Performance of Induction Motor Drives 用于高性能感应电机驱动的混合多电平多脉冲功率变换器的实现与运行

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-05 DOI: 10.1109/TIA.2025.3577115

Rohit Kumar;Bhim Singh

引用次数: 0

Integrating Electrified Logistics Systems Into Power Distribution Network: A Joint-Optimization Planning Approach 电气化物流系统与配电网集成：一种联合优化规划方法

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-05 DOI: 10.1109/TIA.2025.3577141

Jun Li;Yuchen Zhang;Ke Meng

{"title":"Integrating Electrified Logistics Systems Into Power Distribution Network: A Joint-Optimization Planning Approach","authors":"Jun Li;Yuchen Zhang;Ke Meng","doi":"10.1109/TIA.2025.3577141","DOIUrl":"https://doi.org/10.1109/TIA.2025.3577141","url":null,"abstract":"Integrating electrified logistics systems with power distribution networks (PDNs) poses challenges for jointly optimizing charging infrastructure deployment and vehicle routing. Conventional methods often fail to jointly address the interdependencies between these two systems, leading to suboptimal planning and increased operational costs. To address this issue, a two-stage joint-optimization framework is proposed to simultaneously optimize EV charging station siting and electric logistics vehicle (ELV) routing within PDNs. In the first stage, a multi-objective optimization model is employed to determine optimal charging station locations, balancing infrastructure costs and traffic flow capture efficiency. In the second stage, an adaptive routing model integrates charging constraints to optimize ELV operational costs. A hybrid optimization algorithm, combining self-adaptive MOEA/D and genetic algorithm with best-first search (GABFS), is developed to enhance computational efficiency and solution robustness. The proposed approach is validated on a benchmark distribution network with logistics scenarios, demonstrating significant reductions in both capital investment for charging infrastructure and logistics operational costs. The findings underscore the importance of coordinated charging and logistics planning in accelerating the transition towards sustainable electrified logistics networks.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"9705-9715"},"PeriodicalIF":4.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Spatio-Temporal and Correlation Modeling of EV Charging Data for Hosting Capacity Analysis 面向主机容量分析的电动汽车充电数据时空关联建模

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-05 DOI: 10.1109/TIA.2025.3576744

Chathuranga D.W. Wanninayaka Mudiyanselage;Kazi N. Hasan;Arash Vahidnia;Mir Toufikur Rahman

{"title":"Spatio-Temporal and Correlation Modeling of EV Charging Data for Hosting Capacity Analysis","authors":"Chathuranga D.W. Wanninayaka Mudiyanselage;Kazi N. Hasan;Arash Vahidnia;Mir Toufikur Rahman","doi":"10.1109/TIA.2025.3576744","DOIUrl":"https://doi.org/10.1109/TIA.2025.3576744","url":null,"abstract":"The growing number of residential Electric vehicles (EVs) are posing a significant challenge for grid operators around the world. This paper presents spatiotemporal (ST) modeling approach to address system uncertainties and copula theory to model correlations of EV charging demand with EV users’ travel parameters (such as EV departure time, trip distance, and EV arrival time) and solar PV generation. Copula theory is employed to represent the correlations between these parameters, validated using the Kolmogorov-Smirnov (KS) test and quantile-quantile (q-q) plots. The case study presents EV hosting capacity in an Australian distribution network, adapting the modeled EV charging demand with real-world measured load demand profiles. The network EV hosting capacity is determined subject to voltage violation risk (VVR), line overloading, and transformer capacity violation. According to the results, the EV hosting capacity was found to be limited to 25% EV penetration due to the transformer capacity limit primarily. However, the EV hosting capacity could reach 50% without violating the VVR limit. The simulation results also indicate that for the chosen test network and load profile, the EV hosting capacity is slightly higher on weekends than on weekdays of the simulation period.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"8722-8735"},"PeriodicalIF":4.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Implementation of Leader Development Models for Prediction of Insulation Flashover in Lightning Studies 雷电研究中绝缘闪络预测先导发展模型的实现

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-05 DOI: 10.1109/TIA.2025.3577136

Erika Stracqualursi;Zacharias G. Datsios;Rodolfo Araneo;Pantelis N. Mikropoulos;Thomas E. Tsovilis

{"title":"Implementation of Leader Development Models for Prediction of Insulation Flashover in Lightning Studies","authors":"Erika Stracqualursi;Zacharias G. Datsios;Rodolfo Araneo;Pantelis N. Mikropoulos;Thomas E. Tsovilis","doi":"10.1109/TIA.2025.3577136","DOIUrl":"https://doi.org/10.1109/TIA.2025.3577136","url":null,"abstract":"The prediction of the behavior of long air gaps and insulators, when stressed by fast-front overvoltages of non-standard waveshape, is crucial for evaluating the effects of lightning to power systems. This can be achieved in an accurate manner by applying leader development models (LDMs), accounting for the associated physical processes. This work contributes to LDM application to different methodologies/techniques used for the simulation of lightning strikes to power systems, and hence, for insulation coordination studies. This is achieved by identifying and discussing important features related to LDM implementation in a generalized manner not tied to a specific methodology and a specific LDM. Finite Difference Time Domain (FDTD) and ATP-EMTP implementations are introduced to investigate the effects of these elements. They are then employed to assess the lightning performance of a 150 kV single-circuit overhead power line. For this purpose, the minimum lightning currents causing shielding failure flashover and backflashover to the line are computed by means of the two aforementioned simulation methods. Results are compared and discussed considering the differences between methods. For the shielding failure case, identical results were obtained. Differences from <1% up to ∼10% were found for the minimum backflashover current, and up to <5% for the backflashover rate.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"8760-8770"},"PeriodicalIF":4.5,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145090266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

A Battery-Based Auxiliary Power System for an All-Electric Aircraft: A Novel Converter Configuration 基于电池的全电动飞机辅助动力系统：一种新型变换器结构

IF 4.5 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-06-04 DOI: 10.1109/TIA.2025.3576747

Giuseppe Bossi;Concettina Buccella;Carlo Cecati;Francesco Simonetti;Alfonso Damiano

{"title":"A Battery-Based Auxiliary Power System for an All-Electric Aircraft: A Novel Converter Configuration","authors":"Giuseppe Bossi;Concettina Buccella;Carlo Cecati;Francesco Simonetti;Alfonso Damiano","doi":"10.1109/TIA.2025.3576747","DOIUrl":"https://doi.org/10.1109/TIA.2025.3576747","url":null,"abstract":"In all-electric airctaft, the Auxiliary Power Units (APU) based on fossil fuels are replaced by energy storage systems equipped with batteries or fuel cells. This paper proposes a novel 115V<sub>rms</sub>, 400 Hz DC/AC converter for a 5 kW APU of a lightweight all-electric aircraft. The proposed DC/AC converter employs a Five-Level Cascaded H-Bridge (5-LCHB) supplied by a Triple-Active Bridge (TAB). The TAB allows the independent control of its two output ports while connected to a single electrochemical battery pack. The three-winding high-frequency transformer provides galvanic isolation, endowing reliability to the conversion system. The inherent decoupling condition established between the TAB output ports is modelled, and the proposed DC/AC converter design is assessed with a co-simulation study on PLECS and Matlab/Simulink. The proposed system has been experimentally validated on a scaled converter prototype. The results show that the TAB inherent decoupling condition is reached between the output ports achieving the proper implementation of the Selectvie Harmonic Elimination Pulse Active Width Modulation (SHE-PWM) in the 5-LCHB. Moreover, the control system exhibits good performance dynamics even under output step-load variations.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 6","pages":"9493-9505"},"PeriodicalIF":4.5,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145100395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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