IEEJ Transactions on Electrical and Electronic Engineering最新文献_第9页

Wind Speed Modeling under Quasi-Linear Autoregressive Neural Network Model for Prediction of Production Power 拟线性自回归神经网络模型下的风速建模及发电功率预测

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-10-06 DOI: 10.1002/tee.24204

Mohammad Abu Jami'in, Ii Munadhif, Jinglu Hu, Mardi Santoso, Joko Endrasmono, Eko Julianto

{"title":"Wind Speed Modeling under Quasi-Linear Autoregressive Neural Network Model for Prediction of Production Power","authors":"Mohammad Abu Jami'in, Ii Munadhif, Jinglu Hu, Mardi Santoso, Joko Endrasmono, Eko Julianto","doi":"10.1002/tee.24204","DOIUrl":"https://doi.org/10.1002/tee.24204","url":null,"abstract":"Accurate wind speed modeling is beneficial for the design of wind energy conversion systems. Models of wind speed are used to assess the adequacy and dependability of a power supply. However, precise wind speed modeling is challenging due to the sporadic availability of wind speed. In this note, we propose a wind speed model with an autoregressive (AR) structure. A hybrid model is developed under linear and nonlinear parts based on a quasi-linear autoregressive exogenous neural network (Q-ARX-NN). The model's structure is composed of a regression vector and its coefficients. The coefficients are divided into linear and nonlinear coefficients. A set of linear coefficients is identified under the algorithm of least square error (LSE), and a set of nonlinear coefficients is modeled by using a neural network to refine the residual error of the nonlinear part. Some artificial neural network (ANN) models can be set as nonlinear part sub-models to sharpen the model's accuracy. The proposed model is tested for wind speed modeling to estimate wind energy production. Various nonlinear parts of the sub-model are tested, such as neural networks, radial basis function networks, and ANN networks. Moreover, we evaluate the effects of the order of the model by varying hidden and output nodes, which can be summarized as the number of coefficients of the regression vector. Using specific wind turbine performance data, prediction models estimate production power. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 2","pages":"217-225"},"PeriodicalIF":1.0,"publicationDate":"2024-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112572","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

Enhancing DC Microgrids Stability by Integrating DAB Converters with Consensus Algorithms for Bus Voltage Drop Mitigation 集成DAB变换器及母线压降一致性算法增强直流微电网稳定性

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-10-06 DOI: 10.1002/tee.24198

Minh Duc Pham, Nguyen Dang Khoa Tran, Phuoc Hoa Truong, Duc Hung Nguyen

{"title":"Enhancing DC Microgrids Stability by Integrating DAB Converters with Consensus Algorithms for Bus Voltage Drop Mitigation","authors":"Minh Duc Pham, Nguyen Dang Khoa Tran, Phuoc Hoa Truong, Duc Hung Nguyen","doi":"10.1002/tee.24198","DOIUrl":"https://doi.org/10.1002/tee.24198","url":null,"abstract":"Renewable energy sources (RESs) have become a prominent trend in the development of energy systems in many countries. To manage RESs, microgrids have emerged as an efficient and optimal solution. However, a microgrid might occasionally have problems like overloading and voltage sag. To address this problem, this paper proposes a technique that combines a consensus algorithm and a dual active bridge (DAB) to transfer energy between two different microgrids. A detection technique for overloading and voltage sag is part of the proposed control approach. In these circumstances, the DAB facilitates consensus adjustments to the stable microgrid current to bring it into balance with the overloaded current. By applying this proposed control method, voltage drops are significantly reduced, leading to an improvement in the power system quality. The simulation results of the microgrid and a scaled-down laboratory system are conducted to verify the feasibility of the proposed control scheme. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 3","pages":"475-484"},"PeriodicalIF":1.0,"publicationDate":"2024-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112887","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

Research on Emergency Repair of Distribution Network Considering Cooperative Scheduling of Power Supply Vehicles 考虑供电车辆协同调度的配电网应急抢修研究

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-10-04 DOI: 10.1002/tee.24208

Tianchu Li, Zhipeng Wu, Yuanhuang Liu, Qinan Lin

{"title":"Research on Emergency Repair of Distribution Network Considering Cooperative Scheduling of Power Supply Vehicles","authors":"Tianchu Li, Zhipeng Wu, Yuanhuang Liu, Qinan Lin","doi":"10.1002/tee.24208","DOIUrl":"https://doi.org/10.1002/tee.24208","url":null,"abstract":"With the development of China's national economy and the acceleration of urbanization, the production and life of society are increasingly dependent on power supply. Thus, how to ensure the safety and reliability of electric energy is becoming more and more important. It would cause substantial losses in case of a large-scale blackout, which is what we need to avoid. The recovery speed of the power outage is one of the most vital core issue, fast recovery of power supply in the distribution network is a significant way of improving emergency disposal efficiency. In order to make full use of the emergency resources and improve the efficiency of distribution network emergency repair, this paper presents a coordinated optimal scheduling of emergency power supply vehicles and emergency repair teams in the case of multiple faults. First, the emergency repair disposal path optimization model is created, with the goal of minimizing emergency disposal time and outage losses. Second, an emergency power supply vehicle scheduling model is established, with the goal of maximizing the economic benefit. And the optimal dispatch model of the emergency power supply vehicle with the highest value of the recovery load is built by using the transfer strategy matrix. Finally, the binary particle swarm optimization (BPSO) algorithm is used to solve the optimization models in the IEEE33 node distribution network model. The results indicates that the optimized scheduling strategy considering the coordinated dispatch of emergency power supply vehicles and emergency repair teams can be obtained, and the validity of the proposed method is verified. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 3","pages":"349-357"},"PeriodicalIF":1.0,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112178","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

Evaluation of AC Copper Loss Reduction Effect of Magnetic-Coated Flat Wire 磁包扁线交流减铜效果的评价

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-10-04 DOI: 10.1002/tee.24199

Jun Kitajima, Takashi Sakae, Mitsuhide Sato, Tsutomu Mizuno, Yuki Shimoda, Akihiro Kubota, Shogo Wada, Teruo Kichiji, Hideo Kumagai

引用次数: 0

Evaluation of Degree of Orientation in Metal and Oxide Epitaxial Thin Films by Using Reciprocal Space Mapping 用倒易空间映射评价金属和氧化物外延薄膜的取向度

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-10-04 DOI: 10.1002/tee.24212

Hiroshi Sakuma, Yusuke Adachi, Takayuki Kashiwakura

引用次数: 0

Neural Network Modeling of Complex Hysteresis Loops in Ferromagnetic Materials 铁磁材料复杂磁滞回线的神经网络建模

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-10-01 DOI: 10.1002/tee.24194

Can Ding, Yaolong Bai, Yinbo Ji, Pengcheng Ma

{"title":"Neural Network Modeling of Complex Hysteresis Loops in Ferromagnetic Materials","authors":"Can Ding, Yaolong Bai, Yinbo Ji, Pengcheng Ma","doi":"10.1002/tee.24194","DOIUrl":"https://doi.org/10.1002/tee.24194","url":null,"abstract":"To investigate the impact of diverse multivariate mixing excitation conditions on the hysteresis loop of ferromagnetic materials, this study initially constructs a magnetic performance testing system for electrical steel. This system is capable of generating mixed excitation utilizing a standard Epstein square-circle setup. Subsequently, the study measures the magnetic properties of the oriented silicon steel sheets at various mixing AC frequencies of the hysteresis loop data. Secondly, a hybrid network model integrating a convolutional neural network (CNN) and a bi-directional long short-term memory network (BiGRU), augmented with an attention mechanism (AM), is proposed and utilized for predicting the hysteresis properties of oriented silicon steel wafers subjected to compound mixed-frequency excitation. The model utilizes CNN to extract high-dimensional data features reflecting the hysteresis characteristics of the loop, BiGRU to capture the temporal evolution patterns of the key feature vectors, an AM to weigh the feature parameters and emphasize the key features, and a Bayesian optimization (BO) algorithm based on neural network hyperparameters for automatic selection, enhancing prediction accuracy. In comparison with experimental observations, the method accurately predicts material hysteresis properties under non-sinusoidal complex excitation conditions, outperforming existing deep-learning network models. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 3","pages":"373-384"},"PeriodicalIF":1.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143110695","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

Fast Terminal Synergetic Speed Control for SMPMSM Drive System SMPMSM驱动系统的快速终端协同速度控制

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-10-01 DOI: 10.1002/tee.24197

Haonan Zhao, Hongmei Li, Liguo Yang, Bin Chen, Chao Zhou

引用次数: 0

Core Loss Analysis of Axial Modular Flux Switching Permanent Magnet Machine Considering the Impact of No-Magnetic Ring 考虑无磁环影响的轴向模块化磁通开关永磁电机铁芯损耗分析

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-10-01 DOI: 10.1002/tee.24196

Peng Su, Tianyu Yang, Yongjian Li

引用次数: 0

Studies on Practical Hysteresis Modeling Method Using Play Model by Circuit Simulators 使用电路模拟器播放模型的实用磁滞建模方法研究

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-09-28 DOI: 10.1002/tee.24190

Yoshiki Hane, Kengo Sugahara

引用次数: 0

String-Like Self-Capacitance-Based Proximity and Tactile Sensor that Can be Wrapped Around Robotic Arms 可缠绕在机械臂上的基于自电容的绳状接近和触觉传感器

IF 1 4区工程技术

IEEJ Transactions on Electrical and Electronic Engineering Pub Date : 2024-09-13 DOI: 10.1002/tee.24191

Satoshi Tsuji

{"title":"String-Like Self-Capacitance-Based Proximity and Tactile Sensor that Can be Wrapped Around Robotic Arms","authors":"Satoshi Tsuji","doi":"10.1002/tee.24191","DOIUrl":"10.1002/tee.24191","url":null,"abstract":"Cooperative robots that perform safety functions as part of cooperative work with humans have been recently drawing attention. Proximity and tactile sensors that can be retrofitted to a robot's surface are important safety measures for existing robots that are not manufactured as cooperative robots to be used as cooperative robots. In this paper, a string-like self-capacitance-based proximity and tactile sensor that can be easily wrapped around various types of existing robots is proposed. The novel and useful point in this paper is that it can be easily mounted on various robots by a flexible string-like proximity and tactile sensor. The sensor module can be adjusted to the required length by connecting different numbers of modules depending on the mounting surface. As a demonstration, six prototype sensor modules were connected by each connector and wrapped around a robotic arm. The sensor modules on the robot's surface could detect an object within its proximity range and detect the rough pressure after contact. In addition, the robotic arm with the sensor modules could be controlled in real time using the data obtained from the sensor that are object detection data at proximity range. These results confirm that the proposed sensor module can be used in the proximity and tactile sensors of existing robots. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 2","pages":"310-317"},"PeriodicalIF":1.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142261233","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