IEEE Transactions on Industry Applications最新文献_第10页

Model Predictive Control of MMC-Based Medium Voltage Microgrid for Grid Connected and Islanded Operation 基于mmc的中压微电网并网孤岛运行模型预测控制

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3546897

Ankita Sharma;Rajasekharareddy Chilipi;Kunisetti V. Praveen Kumar

{"title":"Model Predictive Control of MMC-Based Medium Voltage Microgrid for Grid Connected and Islanded Operation","authors":"Ankita Sharma;Rajasekharareddy Chilipi;Kunisetti V. Praveen Kumar","doi":"10.1109/TIA.2025.3546897","DOIUrl":"https://doi.org/10.1109/TIA.2025.3546897","url":null,"abstract":"This article focuses on the development of a model predictive control (MPC) for a modular multilevel converter (MMC)-based medium voltage microgrid. The developed MPC is aimed to effectively control MMC-based microgrid during both grid-connected (GC) and islanded (IS) modes, with seamless transitions between the two. The developed MPC anticipates state variables behavior and uses a cost function to determine an optimal switching sequence. As a result, unlike classical vector control methods, the developed MPC eliminates need for pulse width modulation schemes, proportional-integral controllers, and extensive tuning efforts. The developed MPC enhances system performance by incorporating power quality improvement and AC fault ride-through capabilities. Additionally, the developed MPC also provides a submodule fault-tolerant feature to ensure system reliability and stability. The effectiveness and robustness of the developed MPC are validated through MATLAB/Simulink-based simulations. Further, extensive experimental studies are performed on a scaled-down laboratory prototype of a 5-level MMC, using dSPACE 1202. The performance evaluation encompasses various operating conditions, including GC and IS operations, smooth transitions between these modes, AC fault ride-through, unbalanced and distorted grid conditions, submodule fault and power quality enhancement. The performance of the developed MPC is compared with traditional vector control methods, demonstrating its superiority in managing medium-voltage microgrid operations.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"5751-5766"},"PeriodicalIF":4.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550480","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

Variable Reluctance Resolver with a Modular Stator: Main Design Aspects 模块定子可变磁阻变压器：主要设计方面

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3546911

Valerii Abramenko;Ilya Petrov;Juha Pyrhönen

引用次数: 0

Flicker Visibility With Different Spectra of White Light 不同白光光谱的闪烁可见性

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3547290

Leoš Kukačka;Jan Hergesel;Jakub Nečásek;Petr Bílek;Michal Vik;Robert Stiegler;Morteza Pourarab;Jan Meyer;Jiří Drápela

{"title":"Flicker Visibility With Different Spectra of White Light","authors":"Leoš Kukačka;Jan Hergesel;Jakub Nečásek;Petr Bílek;Michal Vik;Robert Stiegler;Morteza Pourarab;Jan Meyer;Jiří Drápela","doi":"10.1109/TIA.2025.3547290","DOIUrl":"https://doi.org/10.1109/TIA.2025.3547290","url":null,"abstract":"The standard flickermeter (voltage flickermeter) algorithm commonly used for the evaluation of flicker severity in current electromagnetic compatibility standards originates from the 1980s. It was developed to mimic irritation of an average human observer by flickering incandescent lamp as a reference light source and optimized to voltage fluctuations caused by arc furnaces. However, the algorithm is questionable as the situation in the grid changed since the 1980s; many modern devices are being connected to the grid, creating voltage distortion patterns which are not properly recognized by the voltage flickermeter. In addition, incandescent lamps have been largely replaced by discharge lamps and later by LEDs. Transitioning the algorithm from incandescent lamp light to LED light requires detailed revision of every part of the algorithm. This paper is concerned with verifying the frequency weighting function of the average human observer which is one of the bases of the voltage flickermeter, as well as of the derived light flickermeter. Flicker sensitivity of 34 human observers is measured with two different light sources (LED warm and neutral white, incandescent lamp) and compared with the frequency weighting function used in the current specification of the flickermeters in standards. Finally, an optimization of the weighting function is proposed based on the findings.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"6062-6071"},"PeriodicalIF":4.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550312","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

Rapid Distribution System Resilience and Component Importance Assessment Based on Analytical Method 基于分析方法的快速配电系统弹性及部件重要性评估

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3546907

Zhengkun Xin;Gengfeng Li;Liyin Zhang;Dafu Liu;Zhaohong Bie;Wang Luo;Qiwei Peng;Xiaolong Hao;Wei Zhang;Zhichao Wu

{"title":"Rapid Distribution System Resilience and Component Importance Assessment Based on Analytical Method","authors":"Zhengkun Xin;Gengfeng Li;Liyin Zhang;Dafu Liu;Zhaohong Bie;Wang Luo;Qiwei Peng;Xiaolong Hao;Wei Zhang;Zhichao Wu","doi":"10.1109/TIA.2025.3546907","DOIUrl":"https://doi.org/10.1109/TIA.2025.3546907","url":null,"abstract":"In recent years, extreme natural disasters such as typhoon have highlighted the inadequacy of traditional reliability requirements for distribution system in facing low-probability, high-impact, large-scale failures. To address this issue, this paper presents a rapid system resilience and component importance assessment method based on an analytical approach for distribution system. First, an analytical vulnerability model of distribution system components is established, and the physical mechanism of component failure is analyzed, which can obtain a more accurate failure probability under typhoon disasters. Then, a rapid assessment for system resilience is proposed, and three indicators were proposed along with the system function curve, which can fully reflect the system ability during the whole process of disasters. Last, an analytical rapid assessment for component importance is proposed. The contribution of line components to system resilience under different situations was deduced, which can serve as an intuitive and quantitative reference for the reinforcement stage. Numerical tests demonstrate the efficiency and accuracy of the proposed assessment method, and the component importance method provides valid reinforcement suggestions for enhancing distribution system resilience.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"5767-5779"},"PeriodicalIF":4.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550316","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

Multiobjective Design Optimization of Dual-Stator Unequal-Slot Permanent Magnet Synchronous Motor 双定子不等槽永磁同步电机多目标设计优化

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3546912

Zhangxian Huang;Wenxin Huang;Shanfeng Zhu;Xiaoting Yang

引用次数: 0

A Novel Probabilistic Safety Risk Assessment Approach Near Transmission Line Structures Under Fault Conditions 一种故障条件下输电线路结构附近概率安全风险评估新方法

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3546906

Chenyang Wang;Xiaodong Liang;Manpreet Kaur;Deepak Anand

{"title":"A Novel Probabilistic Safety Risk Assessment Approach Near Transmission Line Structures Under Fault Conditions","authors":"Chenyang Wang;Xiaodong Liang;Manpreet Kaur;Deepak Anand","doi":"10.1109/TIA.2025.3546906","DOIUrl":"https://doi.org/10.1109/TIA.2025.3546906","url":null,"abstract":"The increasing proximity of transmission lines to urban areas has raised safety concerns due to potential touch and step voltage hazards during transmission line faults. Lacking of a comprehensive safety standard in many regions makes the situation worse. Although both deterministic and probabilistic risk assessment approaches have been attempted for this issue, the probabilistic risk assessment approach has attracted more attention, as it allows electric utilities with a limited operational budget to quantify and prioritize risk locations by mitigating the public risk for a location with the highest probability first through a risk score. However, the parameters of the probabilistic risk assessment approach are currently based on assumptions, which significantly reduces the risk assessment accuracy. In this paper, new effective methods are proposed to accurately determine these parameters, including the probability of faults, the probability of human presence, and the probability of ventricular fibrillation. This paper offers an accurate probabilistic risk assessment tool for electric utilities and regulatory bodies to proactively assess and mitigate safety risks near transmission line structures and ensure the public's safety in an increasingly urbanized landscape.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"5983-5993"},"PeriodicalIF":4.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550512","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

An Improved Dynamic Opto-Electric-Thermal Model for Power Estimation of Bifacial PV Module 一种改进的双面光伏组件功率估算动态光电热模型

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3547706

Gautam Raina;Shubham Sharma;Sunanda Sinha

{"title":"An Improved Dynamic Opto-Electric-Thermal Model for Power Estimation of Bifacial PV Module","authors":"Gautam Raina;Shubham Sharma;Sunanda Sinha","doi":"10.1109/TIA.2025.3547706","DOIUrl":"https://doi.org/10.1109/TIA.2025.3547706","url":null,"abstract":"This study presents a dynamic electro-thermal model for accurately estimating the module temperature and performance of bifacial solar PV module. The proposed model leverages an equivalent electrical circuit analogy to analyze the module's transient behavior, taking into account the thermal exchanges and module thermal mass. The ability of the model to predict thermal characteristics of the bifacial module was checked against the measured data demonstrating its ability to overcome the limitations of existing models, with root mean square error (RMSE) values ranging between 1°C-2°C. The electrical performance of a 355 W peak rated bifacial PV module was also analyzed by the model. The results for seasonal performance indicated the model's robustness under conditions of high irradiance fluctuations, showing lower errors (RMSE < 25 W, MAE < 13 W), for a 355 W peak rated bifacial PV module. Thus, the presented approach can be a useful tool in predicting the electro-thermal behavior of bifacial solar modules. The innovation of this work lies in addressing oversights in current methods, such as neglecting the module's thermal response and accurate rear-side irradiance assessment, which frequently result in inaccurate power output projections. The major outcome of this study provides a dynamic opto-electric-thermal modelling framework which can be helpful for the development, optimisation and design of efficient and cost-effective bifacial systems for industrial and commercial applications.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"6661-6671"},"PeriodicalIF":4.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550714","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 Framework for Fault Diagnosis of Process Loop Components 过程环路组件故障诊断的数据驱动框架

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3547710

Meera A. Khandekar;Sudhir D. Agashe

{"title":"Data-Driven Framework for Fault Diagnosis of Process Loop Components","authors":"Meera A. Khandekar;Sudhir D. Agashe","doi":"10.1109/TIA.2025.3547710","DOIUrl":"https://doi.org/10.1109/TIA.2025.3547710","url":null,"abstract":"All industrial operations for oil, gas, power plants, manufacturing plants, and allied industries are automated. To run operations efficiently and safely, all field instruments must be working properly. Many events like mechanical failure, electrical failure, aging of equipment, operator errors, and lack of maintenance of components are leading causes of unscheduled downtime in the plant. Preventive maintenance techniques are not effective as a variety of instruments are working under different operating conditions. Condition Based Monitoring (CBM) techniques require vibration and temperature data to diagnose the performance of the instruments. CBM techniques are not real-time and are costly as an expert is required to diagnose the faults. Moreover the automated maintenance schedule required for field instruments has not been tried and tested till present. A data-driven framework is proposed to monitor the online performance of process loop components such as transmitters, current-to-pressure converter and control valve. If the type of fault is correctly diagnosed, corrective action can be taken. Real-time data for a control valve and a current-to-pressure converter has been used to develop regression and classification models. Regression models detect deviation in the calibration of a current-to-pressure converter and control valve. SVM Classification models have been developed to identify faults like air leakage, stiction, and disturbed orientation. To diagnose the performance of process loop components, data-driven models are useful. The SVM model shows 97.73% accuracy for fault diagnosis of the control valve. Process loop component maintenance is more effective using a data-driven model than preventive maintenance and CBM techniques.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"6042-6051"},"PeriodicalIF":4.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550689","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

Resilience Enhancement of Coordinated Transmission and Distribution System via Risk-Based Decentralized Planning Against Typhoons 基于风险的分散规划增强协调输配电系统抗台风恢复能力

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3546909

Zijun Yuan;Heng Zhang;Haozhong Cheng;Lu Liu;Jianqin Liu;Ying Wang;Defu Cai

{"title":"Resilience Enhancement of Coordinated Transmission and Distribution System via Risk-Based Decentralized Planning Against Typhoons","authors":"Zijun Yuan;Heng Zhang;Haozhong Cheng;Lu Liu;Jianqin Liu;Ying Wang;Defu Cai","doi":"10.1109/TIA.2025.3546909","DOIUrl":"https://doi.org/10.1109/TIA.2025.3546909","url":null,"abstract":"The occurrence of high-impact low-probability (HILP) natural disasters such as typhoons poses a significant threat to the secure operation of transmission and distribution (T&D) network system. Simultaneously, the rapid advancement in power distribution grid technologies contributes to the efficient interaction between transmission network and distribution network, thereby providing more possibilities for defending against disasters from a cooperative perspective in T&D network system. To explore the resilience enhancement potential of coordinated transmission and distribution system (CTDS) in defense of probabilistic typhoon impact, a risk-based decentralized planning model for CTDS is proposed aiming at mitigating load reduction at the transmission-distribution level considering random typhoon impact. The planning decision incorporates the investment in transmission line hardening, transmission network expansion at transmission level and distribution line hardening, mobile emergency generator (MEG) deployment as well as automatic switch deployment at distribution level. To address the decentralized model with multiple scenarios, a novel integrated solution procedure is proposed which embeds the alternating direction method of multipliers (ADMM) into a bundle-based progressive hedging algorithm (BPHA), thereby enhancing computation efficiency. The effectiveness and superiority of the proposed resilience enhancement method is demonstrated on a T6D3 system and a T118D7 system.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"5780-5796"},"PeriodicalIF":4.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550341","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

Enhancing Resilient Operation of Distributed Energy Resources Using an Improved Machine Learning-Based IoT Framework Against Cyberattack Perturbation 使用改进的基于机器学习的物联网框架增强分布式能源的弹性运行，以应对网络攻击扰动

IF 4.2 2区工程技术

IEEE Transactions on Industry Applications Pub Date : 2025-03-03 DOI: 10.1109/TIA.2025.3547704

Mahmoud Elsisi;Chun-Lien Su;Chia-Hung Lin;Te-Tien Ku

{"title":"Enhancing Resilient Operation of Distributed Energy Resources Using an Improved Machine Learning-Based IoT Framework Against Cyberattack Perturbation","authors":"Mahmoud Elsisi;Chun-Lien Su;Chia-Hung Lin;Te-Tien Ku","doi":"10.1109/TIA.2025.3547704","DOIUrl":"https://doi.org/10.1109/TIA.2025.3547704","url":null,"abstract":"The most realistic way to achieve large-scale integration of distributed energy resources (DERs) into the current grid system is to implement microgrids. These systems function as localized power grids that can operate independently or seamlessly integrate with utility grids. They include DERs, energy storage options, and a variety of loads. Microgrid architecture is changing toward greater distribution, intelligence, and close network integration as communication network technology develops quickly. Microgrids are useful in many fields, including Industry 4.0, smart cities, and the Internet of Things (IoT). However, the connection of the microgrid components and transfer of data via the internet network expose the data to cyber threats, including false data injection, side-channel noise intrusion (SNI), and adversarial attacks, which deteriorate the operation data analysis models such as machine learning (ML). This paper outlines the enhancement of resilient operation using reliable IoT based on reliable ML as a case study for online monitoring of smart inverters. Furthermore, a new ML algorithm is developed using an image processing procedure against cyberattack perturbation. Different levels of attack perturbation are executed using the fast gradient sign method (FGSM) and SNI to validate the robustness of the developed model.","PeriodicalId":13337,"journal":{"name":"IEEE Transactions on Industry Applications","volume":"61 4","pages":"5445-5455"},"PeriodicalIF":4.2,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550340","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