IEEJ Transactions on Electrical and Electronic Engineering最新文献_第5页

A Novel Estimation Strategy for Electrical Parameters of Multi-Layer Soil in Frequency Domain 一种多层土壤电参数频域估计新策略

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-08 DOI: 10.1002/tee.70059

Dong Zhang, Xuan Wang, Ke Ma, Nian Liu

{"title":"A Novel Estimation Strategy for Electrical Parameters of Multi-Layer Soil in Frequency Domain","authors":"Dong Zhang, Xuan Wang, Ke Ma, Nian Liu","doi":"10.1002/tee.70059","DOIUrl":"https://doi.org/10.1002/tee.70059","url":null,"abstract":"Frequency-domain soil parameters have an important influence on the response of earthing systems subject to impulse current. To estimate the frequency domain parameters of horizontal multi-layered soil effectively and quickly, a novel estimation strategy based on a nonhomogeneous cuckoo search algorithm (NoCuSa) is proposed. Firstly, NoCuSa is applied for estimating the electrical parameters of multi-layered soils, with their performance verified by the software CDEGS (Current Distribution, Electromagnetic Fields, Grounding, and Soil Structure Analysis) in the DC case. Then, Messier expressions combined with the discrete complex image method (DCIM) are utilized to generate the synthetic soil complex apparent resistivity. On the premise that the variation of optimal depth per layer is insensitive to the change of frequency, this paper defines only the conductivity and permittivity of each layer as variables to be optimized when the frequency changes. Therefore, the runtime of each frequency point could be reduced compared to the common way; the effectiveness of the proposed estimation strategy is verified by experimental and simulation examples. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 10","pages":"1534-1544"},"PeriodicalIF":1.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144927253","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

A BGP Hijacking Detection System with BGP Messages at Multiple Measurement Points 基于多测量点的BGP劫持检测系统

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-08 DOI: 10.1002/tee.70058

Haruto Shimizu, Kimihiro Mizutani

引用次数: 0

Development of Scalable Impedance Data Collection System for Li-Ion Batteries and State Estimation Using Neural Networks 锂离子电池可扩展阻抗数据采集系统的开发及神经网络状态估计

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-08 DOI: 10.1002/tee.70057

Motoya Furugori, Noboru Katayama

{"title":"Development of Scalable Impedance Data Collection System for Li-Ion Batteries and State Estimation Using Neural Networks","authors":"Motoya Furugori, Noboru Katayama","doi":"10.1002/tee.70057","DOIUrl":"https://doi.org/10.1002/tee.70057","url":null,"abstract":"In recent years, the importance of accurate state estimation techniques for lithium-ion batteries (LIBs) has been increasing. An approach that combines electrochemical impedance spectroscopy (EIS) with machine learning is highlighted as a promising method for high-precision state estimation. However, traditional EIS measurements pose a significant barrier to implementation due to the cost of collecting data from many battery samples. Furthermore, many existing studies are limited to measurements under steady-state conditions in laboratory environments, requiring dedicated high-precision impedance measurement equipment. In practical applications, it is necessary to respond to dynamic changes in battery states, making the implementation of expensive measurement equipment unrealistic. To address these challenges, this study developed a low-cost EIS measurement circuit. We demonstrated that impedance data obtained from the developed circuit can be used to construct a state estimation model for commercially available cylindrical LIBs. Using the system, we collected impedance data from brand new batteries and built a model that can accurately estimate temperature and state of charge. This work will accelerate the construction of large-scale impedance datasets for LIBs and is expected to be an important step toward next-generation battery management systems. © 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 9","pages":"1503-1509"},"PeriodicalIF":1.1,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.70057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144767406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Accuracy Improvement of the 2S-DIRK Method for EMT Simulations of Highly Nonlinear Circuits 高非线性电路EMT仿真中2S-DIRK方法精度的提高

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-07 DOI: 10.1002/tee.70030

Toshiaki Kikuma, Kiyoshi Takenaka, Taku Noda, Tatsuhito Nakajima

{"title":"Accuracy Improvement of the 2S-DIRK Method for EMT Simulations of Highly Nonlinear Circuits","authors":"Toshiaki Kikuma, Kiyoshi Takenaka, Taku Noda, Tatsuhito Nakajima","doi":"10.1002/tee.70030","DOIUrl":"https://doi.org/10.1002/tee.70030","url":null,"abstract":"Power electronics converters used for HVDC transmission, renewable-energy interconnection, and system control now play an important role in power systems. Since power electronics converters control power by fast switching of semiconductor devices, the electromagnetic transient (EMT) simulations of power systems including such power electronics converters are crucial. In the past, the trapezoidal method was used for the numerical integration in the EMT simulation, and numerical or fictitious oscillation due to sudden changes of inductor currents and capacitor voltages was considered problematic. To cope with this problem, supplementary methods for the trapezoidal method and oscillation-free integration methods were proposed. The two-stage diagonally-implicit Runge-Kutta (2S-DIRK) method, which is one of the oscillation-free integration methods, does not generate numerical oscillations. But it sometimes produces numerical spikes when highly nonlinear elements are included in the circuit. Since semiconductor switching devices and diodes are highly nonlinear devices, eliminating the numerical spikes is important for EMT simulations including power electronics converters. In this paper, the spike phenomenon is first discussed, and then a method to eliminate the spikes is proposed. Finally, the proposed method is validated by numerical examples. © 2025 The Author(s). IEEJ Transactions on Electrical and Electronic Engineering published by Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 9","pages":"1366-1373"},"PeriodicalIF":1.1,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/tee.70030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144767404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Intelligent Prediction of Dielectric Strength for Long Air Gaps at High Altitudes Based on Regularization-Logistic Regression 基于正则化-逻辑回归的高海拔长气隙介质强度智能预测

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-07 DOI: 10.1002/tee.70051

Zhibin Qiu, Wenhao Chen, Yu Song, Ting Peng, Chen Liu

{"title":"Intelligent Prediction of Dielectric Strength for Long Air Gaps at High Altitudes Based on Regularization-Logistic Regression","authors":"Zhibin Qiu, Wenhao Chen, Yu Song, Ting Peng, Chen Liu","doi":"10.1002/tee.70051","DOIUrl":"https://doi.org/10.1002/tee.70051","url":null,"abstract":"Air discharge originates from the interaction between electric field (EF) and the meteorological environment, and the dielectric strength of a long air gap is affected by both EF distribution and atmospheric parameters. A regularization-logistic regression (R-LR) model is proposed for the accurate calculation of long air gap discharge voltage at high altitudes. Using 4 meteorological features and 9 EF features as inputs for the R-LR model, the R-LR model was trained using discharge test data from rod-plane air gaps at altitudes of 55–4300 m. The trained model was used to predict the dielectric strength of rod-plane air gaps at an altitude of 5000 m. The prediction results of the R-LR model were compared with those of random forest (RF), support vector classifier (SVC) and k-nearest neighbor (KNN) models. The results showed that the accuracy and generalization of the R-LR model were better than those of the other models. The MAPE of the R-LR model on the test set was 1.32%. The model was validated by using the rod-plane air gap discharge test data under different meteorological environments in a plain area. The predicted discharge voltage values were basically consistent with the test values, further demonstrating the effectiveness and generalizability of the model. This study can offer a reference for predicting the dielectric strength of air gaps under different meteorological environments in high altitude areas. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 8","pages":"1148-1156"},"PeriodicalIF":1.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144574139","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

Optimization of Artificial Neural Network (ANN) Models Applied to Experimental Synthesis of Gold Nanoparticles (Au) 应用于金纳米颗粒（Au）实验合成的人工神经网络（ANN）模型优化

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-07 DOI: 10.1002/tee.70043

Cuong Luong Hoang, Lan Duc Vu, Hao Duc Nguyen, Son Hoa Vo, Hoa Trung Phuoc Nguyen, Top Khac Le, Hieu Van Le

引用次数: 0

Hierarchical Optimization Combining Parameter and Topology for Outer Rotor in-Wheel Motors 外转子轮内电机参数与拓扑相结合的层次优化

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-06 DOI: 10.1002/tee.70055

Kehan Yan, Zunyan Hu, Jianqiu Li, Liangfei Xu, Minggao Ouyang

{"title":"Hierarchical Optimization Combining Parameter and Topology for Outer Rotor in-Wheel Motors","authors":"Kehan Yan, Zunyan Hu, Jianqiu Li, Liangfei Xu, Minggao Ouyang","doi":"10.1002/tee.70055","DOIUrl":"https://doi.org/10.1002/tee.70055","url":null,"abstract":"In-wheel motor (IWM) optimization is critical for its vehicle integration. However, standard algorithms are frequently ineffective when applied to the complex IWM optimization problem, resulting in suboptimal performance and excessive computational costs. This problem arises from the diverse and conflicting objectives, namely peak torque, torque ripple, efficiency, and weight. Thus, this paper introduces a hierarchical optimization method that integrates parameter and topology optimization according to different objectives sequentially. The upper layer employed a computationally fast surrogate model to explore the parameter spaces extensively and select the working point for torque ripple reduction. Then, the lower layer utilizes the best parameter optimization results as constraints, enabling further refinement of the permanent magnet (PM) topology via accurate finite element analysis (FEA). As a result, a radial outer rotor IWM was optimized using this method. Convergence and prototype analyses demonstrate the reliability of the hierarchical optimization with a 10.6% and 1.6% increase in peak torque and efficiency, respectively, and a 43.2% reduction in the torque ripple rate compared with a traditionally engineered counterpart. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 8","pages":"1282-1293"},"PeriodicalIF":1.0,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144573708","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

Optimizing Cable Replacement Schedules in Power Grids: A Data-Driven Approach with Machine Learning and Power Flow Analysis 优化电网电缆更换计划：基于机器学习和潮流分析的数据驱动方法

IF 1.1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-05 DOI: 10.1002/tee.70056

Junhyun Lee, Junseon Park, Hyeongon Park

{"title":"Optimizing Cable Replacement Schedules in Power Grids: A Data-Driven Approach with Machine Learning and Power Flow Analysis","authors":"Junhyun Lee, Junseon Park, Hyeongon Park","doi":"10.1002/tee.70056","DOIUrl":"https://doi.org/10.1002/tee.70056","url":null,"abstract":"Ensuring stable power supply demands maintaining power facilities in a reliable operating condition. Power facilities are categorized into those that can be monitored in real time and those that cannot. Facilities that cannot be monitored, such as cables, are often replaced when they are old or replaced in batches. This replacement method overlooks the actual condition and failure impact of these facilities, potentially resulting in economic losses. In this study, we propose a method for optimizing the cable replacement schedules. This method takes into account the Health Index level and the importance in power grid operation. Leveraging machine learning with a dataset of cables, we predicted the Health Index for each cable. Then, we assessed the importance of each cable by calculating load shedding scenarios through power flow analysis, should a cable fail. Finally, the prioritization for cable replacement was determined based on the potential loss caused by cable failure. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 9","pages":"1497-1502"},"PeriodicalIF":1.1,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144767686","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

A Mixed Integer-Linear Programming Model for Solving the Hydroelectric Unit Maintenance Scheduling Problem 求解水电机组维修调度问题的混合整数-线性规划模型

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-01 DOI: 10.1002/tee.70050

Yuehao Tang

{"title":"A Mixed Integer-Linear Programming Model for Solving the Hydroelectric Unit Maintenance Scheduling Problem","authors":"Yuehao Tang","doi":"10.1002/tee.70050","DOIUrl":"https://doi.org/10.1002/tee.70050","url":null,"abstract":"This paper presents an optimization modeling approach utilizing Mixed Integer Linear Programming (MILP) techniques to address the hydroelectric unit maintenance scheduling problem for British Columbia Hydro and Power Authority (BC Hydro) systems. The research leverages specialized linear formulations and algorithms to solve the combinatorial maintenance problem in large-scale hydroelectric systems. The primary objective is to determine the optimal timing and sequencing for each unit outage within the system, ensuring system productivity, reliability, and operability. The proposed method involves a detailed MILP formulation that considers various constraints. A novel ‘maintenance shape’ algorithm is designed to handle the nonlinearity arising from the maintenance continuity preference, ensuring that all units' maintenance activities within each plant are arranged sequentially without breaks. Results from the case study illustrate the systematic effects of unit maintenance on BC Hydro's competitiveness in the electricity market. The model can be extended to include more plants and reservoirs, providing a valuable tool for BC Hydro and similar utilities in strategically managing their maintenance operations. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 8","pages":"1165-1175"},"PeriodicalIF":1.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144573633","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

Constrained State Estimation with Probabilistic Error Model for Underdetermined Systems Such as Distribution Network 基于概率误差模型的配电网络等欠定系统约束状态估计

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2025-05-01 DOI: 10.1002/tee.70054

Masatoshi Kumagai, Masahiro Watanabe

{"title":"Constrained State Estimation with Probabilistic Error Model for Underdetermined Systems Such as Distribution Network","authors":"Masatoshi Kumagai, Masahiro Watanabe","doi":"10.1002/tee.70054","DOIUrl":"https://doi.org/10.1002/tee.70054","url":null,"abstract":"Constrained state estimation (CSE) clarifies the interval of the feeder voltage profile of an unobservable distribution network containing fewer telemetric sensors than state variables to be estimated. By using the given information about the power flow equations and network operating ranges such as maximum load and photovoltaic generator ratings, CSE provides the estimation interval that minimizes the square error against the partial telemetric measurements while satisfying the network operating ranges. We also developed a probabilistic model of the estimation error outside the estimation interval characteristic of the CSE algorithm. The probabilistic error model is derived by superposition of the error distribution around the arbitrary estimation within the estimation interval. The validity of the probabilistic error model was confirmed by a case study simulation on a benchmark network, in which the model-based probabilistic error distribution well explained the simulation-based estimation errors. This result is necessary to understand the estimation accuracy of CSE for the voltage control application of the distribution network. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 8","pages":"1186-1194"},"PeriodicalIF":1.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144573639","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