International Journal of Electrical and Electronics Research最新文献_第6页

L-M Based ANN for Predicting the Location of DG under Contingency Condition 基于 L-M 的人工神经网络预测应急条件下的风电机组位置

International Journal of Electrical and Electronics Research Pub Date : 2023-12-24 DOI: 10.37391/ijeer-110442

D. U. M. Rao, Dr. G. Sambasiva Rao, Dr. K. Swarnasri

引用次数: 0

Proficient Bayesian Classifier for Predicting Congestion and Active Node Sensing Classification in Wireless Cognitive Radio 用于预测无线认知无线电拥塞和主动节点传感分类的精通贝叶斯分类器

International Journal of Electrical and Electronics Research Pub Date : 2023-12-23 DOI: 10.37391/ijeer-110439

Mohanaprakash T A, A. Alaudeen, A.Salman Ayaz, Surya U, S. Kaviarasan

{"title":"Proficient Bayesian Classifier for Predicting Congestion and Active Node Sensing Classification in Wireless Cognitive Radio","authors":"Mohanaprakash T A, A. Alaudeen, A.Salman Ayaz, Surya U, S. Kaviarasan","doi":"10.37391/ijeer-110439","DOIUrl":"https://doi.org/10.37391/ijeer-110439","url":null,"abstract":"This study researches into fixed range designation systems with diverse applications in remote sensing, specifically addressing the emerging issue of range deficiency, particularly concerning access points with reduced range delivery services for remote hubs. An analysis of the existing system reveals limitations in current approaches. To overcome these challenges, the study proposes leveraging remote cognitive radio, a dynamic range access approach that optimally utilizes existing resources. The central focus of cognitive radio is on acquiring sensing data, addressing the deficiencies observed in the existing system. The paper introduces dynamic cognitive radio transmission, employing Bayesian energy detection with range sensing features. Computational performance is rigorously analyzed through MATLAB simulations, with a specific emphasis on identification features and the false alarm rate. Through this comparative study with existing methods, utilizing Bayesian energy processing, the findings contribute to the field by significantly enhancing the efficiency of range access in remote communication systems, addressing the shortcomings identified in the current system analysis.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"13 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of Static Model for a Current Based UPFC 为基于电流的 UPFC 开发静态模型

International Journal of Electrical and Electronics Research Pub Date : 2023-12-23 DOI: 10.37391/ijeer-110440

D. Vasudha, Dr. N.C. Kotaiah, Dr. K. Radha Rani

引用次数: 0

Design of Boost Integrated Luo Converter for Grid Tied EV Based Charging Station 为基于并网的电动汽车充电站设计升压集成式罗氏转换器

International Journal of Electrical and Electronics Research Pub Date : 2023-12-23 DOI: 10.37391/ijeer-110438

Vimalraj Ambeth Vijayarangan, S. Kaliyaperumal

{"title":"Design of Boost Integrated Luo Converter for Grid Tied EV Based Charging Station","authors":"Vimalraj Ambeth Vijayarangan, S. Kaliyaperumal","doi":"10.37391/ijeer-110438","DOIUrl":"https://doi.org/10.37391/ijeer-110438","url":null,"abstract":"The combination of Renewable Energy Source (RES) and storage element in charging station is a possible solution for meeting the growing energy requirement of electric vehicles (EVs). In a grid-tied RE system, the converters are essential for attaining the process of power conditioning. Conventional DC-DC converters suffer from issues like voltage spikes, electromagnetic interference, and efficiency losses. The necessity for integrated converters arises from the demand for improved power conditioning, increased power density, and enhanced overall system performance. As a result, in this work, boost integrated Luo converter is proposed due to the ability to address aforesaid drawbacks and offer superior power conditioning capabilities in modern power electronic systems. The Luo converter with conventional boost converter aids in alleviating the current ripples to a greater extent. The PI control with Particle Swarm Optimization (PSO) strategy is efficiently employed in this study as provides consistent voltage supply to the converter. Thus, the ultimate aim of this work is achieved by enhancing the low dc voltage of PV panel by using a PSO-PI control-based hybrid converter, which increases its efficiency, lowers the cost, supplies suitable current and voltage for energizing the battery or to charge the grid tied EV charging station. The simulation results obtained verifies the effectiveness of developed system.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"25 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling, Design and Control of Speed DC motor using chopper 使用斩波器的调速直流电机的建模、设计和控制

International Journal of Electrical and Electronics Research Pub Date : 2023-12-23 DOI: 10.37391/ijeer-110437

R. Ahmed, E. D. Hassan

{"title":"Modeling, Design and Control of Speed DC motor using chopper","authors":"R. Ahmed, E. D. Hassan","doi":"10.37391/ijeer-110437","DOIUrl":"https://doi.org/10.37391/ijeer-110437","url":null,"abstract":"An electric motor, a power controller, and an energy-transmitting shaft make up an electrical drive. Power electronics converters are utilized as power controllers in contemporary electrically driven systems. DC actuators and AC drives are the two primary categories of electric drives. This study presents design and modeling techniques for very effective individually stimulated DC motor speed control. A DC motor speed controller can be implemented using a chopper circuit as a converter. The controller transmits a signal into the chopper firing circuit, which in turn generates the desired speed of the chopper by varying the voltage supplied to the motor's armature.One type of controlling loop is the speed controller, and another is the current controller. A proportional-integral controller is used. Eliminating the delay with the aid of this controller makes rapid control possible. It creates a separately stimulated DC motor. A current and speed regulator are built in to give the DC motor high-speed control in a steady condition. Under different speed and torque conditions, the model is simulated and examined in MATLAB (Simulink). Results that are satisfactory are achieved, validating the capacity of the chopper approach to control the speed of a DC motor.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"41 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139161930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple Grid-Connected Microgrids with Distributed Generators Energy Sources Voltage Control in Radial Distribution Network Using ANFIS to Enhance Energy Management 利用 ANFIS 在径向配电网中控制电压以加强能源管理

International Journal of Electrical and Electronics Research Pub Date : 2023-12-23 DOI: 10.37391/ijeer-110441

Ebenezer Narh Odonkor, Peter Musau Moses, Aloys Oriedi Akumu

{"title":"Multiple Grid-Connected Microgrids with Distributed Generators Energy Sources Voltage Control in Radial Distribution Network Using ANFIS to Enhance Energy Management","authors":"Ebenezer Narh Odonkor, Peter Musau Moses, Aloys Oriedi Akumu","doi":"10.37391/ijeer-110441","DOIUrl":"https://doi.org/10.37391/ijeer-110441","url":null,"abstract":"Voltage conditions and power quality for customers and utility equipment are significantly impacted by the addition of microgrid-generating sources within distribution networks. Designing the right control for distributed generators for the various generating units of a Microgrid is important in enabling the synchronization of renewable energy generation sources, energy storage unity, and integration of Microgrids into a radial distribution network. This research provides control mechanisms based on an adaptive technique employing ANFIS, to reduce fluctuation of voltage and current difficulties faced when multiple renewable energy sources and storage systems are incorporated into a distribution network. A step-by-step Voltage Source Converter (VSC) Controller was designed for controlling the DC voltage power sources used. The ANFIS training, test system modeling, and the distributed energy source were modeled in MATLAB/SIMULINK 2021a Software. Four microgrids were developed each consisting of a Photovoltaic plant, Wind Turbine, and Battery Storage System. Non-critical and critical loads were considered during the system testing. The simulated result reveals that the proposed control system works effectively in maintaining a constant system voltage of 340VAC which significantly mitigates system voltage and current fluctuation without using any static synchronous compensator (STATCOM) and power system stabilizers.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"27 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139162513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GWOPID-MRAS based Speed Estimation and Speed Control of Sensorless Induction Motors 基于 GWOPID-MRAS 的无传感器感应电机速度估计和速度控制

International Journal of Electrical and Electronics Research Pub Date : 2023-12-20 DOI: 10.37391/ijeer-110436

Saravanan T Y, Dr. Ponnambalam P

{"title":"GWOPID-MRAS based Speed Estimation and Speed Control of Sensorless Induction Motors","authors":"Saravanan T Y, Dr. Ponnambalam P","doi":"10.37391/ijeer-110436","DOIUrl":"https://doi.org/10.37391/ijeer-110436","url":null,"abstract":"Sensorless AC motor drives have grown in popularity recently in a variety of applications, from industrial to domestic electrical equipment. FOC and DTC are popular control methodologies in contemporary alternating current (AC) structures. They can achieve good performance for AC motor drives by creating a decupled flux and torque control. However, both have limitations and drawbacks, such as the vector control's dependence on machine parameters and DTC's high flux and torque ripples. This paper proposes a new control method, in which the speed of an induction motor is controlled by Grey Wolf Optimizer (GWO) based PID controller. This method utilizes both FOC, DTC and MRAS observer. The GWOPID controller receives the inputs from MRAS observer, the parameters of PID controller are optimized using GWO algorithm by minimizing the speed deviations of an Induction Motor (IM). The proposed method is implemented in MATLAB/Simulink environment and the performance is compared with IFOC speed control method. Findings demonstrated that the proposed method is effectively reducing the speed deviations as compared with IFOC method under different load conditions.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"18 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168573","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MRI Intracranial Neoplasm Localization Using Convolution Neural Network Based Residual Block ResUnet: A Systematic Approach 使用基于卷积神经网络的残余块ResUnet进行磁共振成像颅内肿瘤定位：系统方法

International Journal of Electrical and Electronics Research Pub Date : 2023-12-19 DOI: 10.37391/ijeer-110433

Dr. G N Keshava Murthy, Dr. Sujata Joshi, Dr. Rekha H, Dr. Usha B. S, N. K S

{"title":"MRI Intracranial Neoplasm Localization Using Convolution Neural Network Based Residual Block ResUnet: A Systematic Approach","authors":"Dr. G N Keshava Murthy, Dr. Sujata Joshi, Dr. Rekha H, Dr. Usha B. S, N. K S","doi":"10.37391/ijeer-110433","DOIUrl":"https://doi.org/10.37391/ijeer-110433","url":null,"abstract":"Analysis of intracranial neoplasm using multimodal MR images requires accurate and automatic segmentation. However, manually classifying tumors with similar structures or appearances in magnetic resonance imaging (MRI) with similar anatomy or appearances is more challenging, requiring experience to detect brain tumors. Precise segmentation of brain tumors gives clinicians with a foundation for surgical planning and treatment. Due to its capacity to segment brain tumor images automatically, Deep Neural Networks (DNN) have been widely used in image segmentation applications. To classify, segment and marking the occurrence of the brain tumor area accurately, we present custom Deep Convolution Neural Network (CNN) based Residual block U-Net (RB-ResUnet) architecture. Our technique is tested on publicly available Kaggle datasets utilizing quantitative metrics. Comparative results demonstrate that the custom CNN-based RB-ResUnet model can more reliably identify tumor locations and give accurate segmentation masks to tumor locations that are defined by bounding boxes. The findings of the experiment reveal that our proposed model RB-ResUnet can effectively aid in the identification, toxicological evaluation of the brain tumor and has clinical research as well as practical application.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"371 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139171901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconfigurable Converter Topologies for EV Fast Charging Stations 用于电动汽车快速充电站的可重构转换器拓扑结构

International Journal of Electrical and Electronics Research Pub Date : 2023-12-19 DOI: 10.37391/ijeer-110435

Dr. S. Subiramoniyan

引用次数: 0

A Fuzzy Logic Based Cluster Head Election Technique for Energy Consumption Reduction in Wireless Sensor Networks 一种基于模糊逻辑的簇头选举技术，用于降低无线传感器网络的能耗

International Journal of Electrical and Electronics Research Pub Date : 2023-12-19 DOI: 10.37391/ijeer-110434

Catherine Onyango, Kibet Lang’at, Dominic Konditi

{"title":"A Fuzzy Logic Based Cluster Head Election Technique for Energy Consumption Reduction in Wireless Sensor Networks","authors":"Catherine Onyango, Kibet Lang’at, Dominic Konditi","doi":"10.37391/ijeer-110434","DOIUrl":"https://doi.org/10.37391/ijeer-110434","url":null,"abstract":"Wireless sensor networks deploy sensor nodes to different areas for data collection. The small size of these sensor nodes allows limited energy storage capacity, and most applications of the networks do not support recharging the batteries once their energy is depleted. Research on energy efficiency in wireless sensor networks is thus an active area that seeks to minimize energy consumption so that the sensor nodes can live longer. Clustering, one of the energy consumption optimization techniques, is employed in this research. It splits the network into smaller groups for data collection and forwards the data to the base station via appointed cluster heads. A fuzzy-based cluster head election strategy is proposed here to improve energy efficiency in wireless sensor networks. The input parameters of the fuzzy inference system are chosen as the residual energy, the node centrality, and the mobility factor. The system generates an output of the chance of a node being selected as a cluster head based on the combination of the values of the given inputs. The simulation results show that the proposed model reduces the network’s overall energy consumption and extends the sensor nodes’ lifetime.","PeriodicalId":158560,"journal":{"name":"International Journal of Electrical and Electronics Research","volume":"155 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139171936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0