IEEE Transactions on Industry Applications最新文献_第4页

Sizing and Siting of Energy Storage Systems for Mitigating Forecast Mismatch in Transmission Grid

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532580

Gioacchino Tricarico;Francisco Gonzalez-Longatt;Francesca Marasciuolo;Oleksandra Ishchenko;Maria Dicorato;Giuseppe Forte

引用次数: 0

Contributions of Stator and Rotor PMs in Torque Production of Multi-Tooth Dual-PM Machines With Different Stator/Rotor Pole Number Combinations

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532563

Hai Xu;Z. Q. Zhu;Yanjian Zhou;Liang Chen

{"title":"Contributions of Stator and Rotor PMs in Torque Production of Multi-Tooth Dual-PM Machines With Different Stator/Rotor Pole Number Combinations","authors":"Hai Xu;Z. Q. Zhu;Yanjian Zhou;Liang Chen","doi":"10.1109/TIA.2025.3532563","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532563","url":null,"abstract":"This paper investigates the torque contributions of stator and rotor permanent magnets (PMs) in multi-tooth dual-PM machines accounting for stator/rotor pole number combinations. The influences of different total PM volume constraints during optimisation, armature pole number, split tooth number, and key parameters are also considered. It is found that (a) the significance of torque contributions of stator and rotor PMs is dictated by the relationship between stator pole number and rotor pole number, but is not affected by different total PM volume constraints during optimisation, armature pole number, split tooth number, and key parameters; (b) rotor PMs have a more significant torque contribution than stator PMs in the machines with fewer rotor pole number than stator pole number, and stator PMs have a more significant torque contribution than rotor PMs in the machines with fewer stator pole number than rotor pole number; (c) the multi-tooth dual-PM machines with fewer rotor pole number than stator pole number can generate higher average torque. Two prototypes are built and tested to validate the FEA results and analyses.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3051-3065"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777860","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

Benefits and Vulnerabilities of Managing a Growing Fleet of Networked Electric Vehicles

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532398

Kelsey Nelson;Javad Mohammadi;Yu Chen;Alex Aved;David Ferris;Erik Blasch;Erika Ardiles Cruz;Philip Morrone

{"title":"Benefits and Vulnerabilities of Managing a Growing Fleet of Networked Electric Vehicles","authors":"Kelsey Nelson;Javad Mohammadi;Yu Chen;Alex Aved;David Ferris;Erik Blasch;Erika Ardiles Cruz;Philip Morrone","doi":"10.1109/TIA.2025.3532398","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532398","url":null,"abstract":"As the adoption of electric vehicles (EV) becomes more popular within the United States, EVs are a rapidly growing portion of the country's electricity demand. This demand raises many questions about how the power sector can best manage EVs. One commonly investigated strategy for power governance is aggregation, which allows for an intermediary to manage electricity flow between EV owners and utilities. Studying aggregation is particularly attractive due to the key benefits that power flow management can provide to the grid, such as enhancing reliability, lowering emissions, and reducing electricity costs. However, despite aggregation's benefits, it is not without its limitations, namely battery degradation, rebound peaks, uncertainties surrounding traffic management, and cybersecurity vulnerabilities. Cybersecurity vulnerabilities, in particular, are an important emergent interest as the Internet of Things (IoT) expands. This review highlights the broad vulnerabilities of EV aggregation alongside its benefits to provide a holistic overview regarding how to best balance expectations with realistic performance. Investigation finds that grid reliability and electricity cost are a priority across all stakeholder groups while other factors, such as rebound peak, are of highly variable importance across groups. These insights can inform provide policy recommendations regarding how to handle data, support climate goals, and improve equity. These recommendations will help to best facilitate the integration of EV aggregation into the IoT ecosystem.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"1917-1926"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769432","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

Data-Driven Modeling of Li-Ion Battery Based on the Manufacturer Specifications and Laboratory Measurements

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532572

Roberta Di Fonso;Carlo Cecati;Remus Teodorescu;Daniel-Ioan Stroe;Pallavi Bharadwaj

{"title":"Data-Driven Modeling of Li-Ion Battery Based on the Manufacturer Specifications and Laboratory Measurements","authors":"Roberta Di Fonso;Carlo Cecati;Remus Teodorescu;Daniel-Ioan Stroe;Pallavi Bharadwaj","doi":"10.1109/TIA.2025.3532572","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532572","url":null,"abstract":"Accurate modeling of Lithium-ion battery is essential in the development and testing of state estimation and lifetime prediction algorithms. The desired features of the model include flexibility, fast development, accuracy and reliability. There are many different ways to model a battery, depending on the level of abstraction desired, the data available and the target application environment. This paper shows how to extract equivalent circuit model parameters from manufacturer datasheets and laboratory measurement to build robust battery simulation models. A step-by-step methodology for data preparation is presented for both datasheet and measurement-based methods. The benefits and the disadvantages of both approaches are also discussed. A simple equivalent circuit model is firstly derived from manufacturer specification and its robustness is enhanced by collecting more extensive experimental data in the laboratory. Furthermore, an advanced model to better capture the battery dynamics is developed. The aging effects are added to this battery model, to reflect the internal parameters variation according to the health condition of the battery. To measure the accuracy of the developed models, the relative error is computed. An initial relative error of 2.8% of the model build with manufacturer specifications is reduced to 1.0% using laboratory measurements and finally to less than 0.4% by incorporating aging effects.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3485-3493"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769467","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

Solar Assisted Residential EV Charging System With Price Adaptive Control

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532566

Masiha Aijaz;Ikhlaq Hussain;Shameem Ahmad Lone

{"title":"Solar Assisted Residential EV Charging System With Price Adaptive Control","authors":"Masiha Aijaz;Ikhlaq Hussain;Shameem Ahmad Lone","doi":"10.1109/TIA.2025.3532566","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532566","url":null,"abstract":"In this article, a price adaptive power management control for a single phase residential system with electric vehicle (EV) is being presented. It takes advantage of dynamic pricing threshold to manage the net power exchange between the grid and the system. The proposed algorithm enables fast EV charging during low electricity prices time block, while allowing the EVs to discharge during sudden price hikes when prices exceed an adaptive price threshold set for the day. At night, during high tariffs, the EV operates in vehicle to home (V2H) mode, thus achieving cost minimization and grid stress alleviation. Meanwhile, the system control is performed through a novel application of the least lncosh VSC control. The least lncosh control mitigates the performance degradation of adaptive filtering control during impulsive conditions such as abrupt load changes and large outliers such as pricing changes. Moreover, the control also improves the grid side PQ with the local loads at the demand side by eliminating dominant harmonics, providing reactive power support, and operating the grid at the unity power factor, further improving the system efficiency. The system is verified by simulation results and experimental evaluation with comparisons made with PQ capability of several adaptive filtering techniques as well as economic savings.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"1936-1945"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769387","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

Guest Editorial: Convergence of Data-Driven and Physics-Based Approaches in Power System Analysis, Optimization, and Control

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532576

Xiaodong Liang;Qifeng Li;Marija Ilic;Janusz Bialek;Mike Zhou;Thanh Long Vu;Qiuhua Huang

引用次数: 0

Parallel Converter Cell-Based Step-Down Bridgeless PFC Converters With Wide Output for BLDC Motor

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3531820

Zhengge Chen;Jin Qi;Xu Chen;Jianping Xu;Yuxin Liu;Zhiping Dong

引用次数: 0

A Second-Order Cone Programming (SOCP) Based Co-Optimization Approach for Integrated Transmission-Distribution Optimal Power Flow

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532405

Md Mahmud-Ul-Tarik Chowdhury;Md Shamim Hasan;Sukumar Kamalasadan

{"title":"A Second-Order Cone Programming (SOCP) Based Co-Optimization Approach for Integrated Transmission-Distribution Optimal Power Flow","authors":"Md Mahmud-Ul-Tarik Chowdhury;Md Shamim Hasan;Sukumar Kamalasadan","doi":"10.1109/TIA.2025.3532405","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532405","url":null,"abstract":"The advancement of grid technology with high integration of distributed energy resources (DERs) has led to dynamic changes in the distribution network with a substantial impact on the transmission network. With this impact of DER integration, separate optimal power flow (OPF) analysis in transmission and distribution (TD) networks is not always adequate for the optimal operation of the power system. Hence, this paper proposes a coordinated TD-OPF co-optimization method with second-order cone programming (SOCP) to address this challenge. This co-optimization method provides a feasible solution for an integrated TD system, bridging the gap between transmission and distribution network challenges with renewable-based DERs through data exchange between the transmission and distribution networks. Moreover, each distribution network employs a distributed OPF (D-OPF) algorithm, which supports decentralized operation, thereby enhancing the reliability and scalability of the proposed OPF model for large TD networks. The goal is to reduce the overall system planning expenses, optimizing the microgrids in distribution networks and the major generation units within the transmission network. The efficacy of the proposed TD-OPF co-optimization approach has been verified through numerical analysis.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3563-3572"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769430","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

Interval Multi-Objective Optimization for Low-Carbon Building Energy Management System Upon Deep Reinforcement Learning 利用深度强化学习实现低碳建筑能源管理系统的区间多目标优化

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3531821

Hui Hou;Ziyin He;Muchao Xiang;Yanchao Lu;Jie Yang;Liang Huang;Changjun Xie

{"title":"Interval Multi-Objective Optimization for Low-Carbon Building Energy Management System Upon Deep Reinforcement Learning","authors":"Hui Hou;Ziyin He;Muchao Xiang;Yanchao Lu;Jie Yang;Liang Huang;Changjun Xie","doi":"10.1109/TIA.2025.3531821","DOIUrl":"https://doi.org/10.1109/TIA.2025.3531821","url":null,"abstract":"To improve building energy efficiency and reduce the impact of scheduling uncertainty, a low-carbon optimization method for intelligent buildings based on deep reinforcement learning interval multi-objective optimization is proposed. Firstly, interval mathematics is used to model the multiple uncertainties in the system. Secondly, considering the system's carbon emissions and carbon transaction costs, optimize the system operation with the goal of the lowest comprehensive operating cost and the best user comfort. Thirdly, to solve the problem of interval multi-objective optimization, deep Q-network (DQN) and interval multi-objective particle swarm optimization (IMOPSO) are proposed for “offline training” and “online guidance”. The low-carbon optimization scheduling problem of intelligent buildings under multiple uncertain factors is efficiently solved. Case studies show that the proposed IMOPSO based on DQN can consider the system's low carbon, economical and user comfort, which effectively improves the system's ability to deal with uncertain factors.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"2193-2202"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777818","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 Comprehensive Analysis of Enhanced DC-Bus Utilization and Reduced Component Count Five-Level Inverter for PV-Grid Integration

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-01-21 DOI: 10.1109/TIA.2025.3532231

Swapan Kumar Baksi;Ranjan Kumar Behera;Utkal Ranjan Muduli

{"title":"A Comprehensive Analysis of Enhanced DC-Bus Utilization and Reduced Component Count Five-Level Inverter for PV-Grid Integration","authors":"Swapan Kumar Baksi;Ranjan Kumar Behera;Utkal Ranjan Muduli","doi":"10.1109/TIA.2025.3532231","DOIUrl":"https://doi.org/10.1109/TIA.2025.3532231","url":null,"abstract":"Several five-level inverters have limitations, such as low DC-bus voltage utilization and a large number of components. This paper describes a new five-level inverter with a switched capacitor design that aims to address these issues by maximizing the utilization of the DC bus voltage while reducing the component count. The proposed topology includes six active switches, two diodes, a floating capacitor, and a single DC source, with a 50% reduction in bus voltage requirements compared to traditional designs. The level-shifted sine pulse width modulation is employed to produce the switching pulses for the proposed inverter. Following the theoretical analysis, the actual behavior of the switching devices is validated via real-time implementation with the OPALRT 5700 real-time emulator. The superiority of the proposed inverter is tested under various steady-state and dynamic conditions to demonstrate its effectiveness under single-phase open-loop and three-phase photovoltaic (PV)-grid integrated conditions using a comparative analysis. The proposed inverter has a maximum efficiency of 97.75% and output voltage distortion of 26.61%, making it ideal for PV applications.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 2","pages":"3303-3316"},"PeriodicalIF":4.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10848278","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0