Neural networks and related algorithms and libraries are preferred these days for the analysis of brain tumor types and its classification/detection. The proposed method is a CNN-based DenseNet library model that uses dimension reductionality technique called Principal Component Analysis (PCA) to classify brain tumor MRI images into several classes having tumor and not having tumor. The proposed work is to understand and classify the brain MR images into glioma, meningioma, pituitary and no tumor class from the dataset comprising of MRI images. The tested CNN model described in this paper is a variant of DenseNet with PCA. The performance of the DenseNet model has been evaluated using four assessment indices namely, Precision, Recall, F-score, and Accuracy.
{"title":"Impact of Dimensionality Reduction Method in Brain Tumor Classification Using Transfer Learning","authors":"Patel Rahulkumar, Dr. D. J. Shah","doi":"10.52783/jes.5320","DOIUrl":"https://doi.org/10.52783/jes.5320","url":null,"abstract":"Neural networks and related algorithms and libraries are preferred these days for the analysis of brain tumor types and its classification/detection. The proposed method is a CNN-based DenseNet library model that uses dimension reductionality technique called Principal Component Analysis (PCA) to classify brain tumor MRI images into several classes having tumor and not having tumor. The proposed work is to understand and classify the brain MR images into glioma, meningioma, pituitary and no tumor class from the dataset comprising of MRI images. The tested CNN model described in this paper is a variant of DenseNet with PCA. The performance of the DenseNet model has been evaluated using four assessment indices namely, Precision, Recall, F-score, and Accuracy.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141835468","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}
Manuel Enrique, Chenet Zuta, Chaitanya Koneti, Dr Olivares Zegarra, Venus Flor, Marina Carvajal-Ordoñez
Digital Twins (DTs) are revolutionizing supply chain operations by creating dynamic digital replicas of physical assets, processes, and systems. This paper explores the integration of Artificial Intelligence (AI) with Digital Twins to bridge the physical and digital worlds in supply chain management. By leveraging AI, Digital Twins can analyze real-time data, predict future events, and optimize decision-making processes. This synergy enhances operational efficiency, reduces costs, and improves responsiveness to disruptions. We delve into the architecture of AI-driven Digital Twins, highlighting their components, data flow, and interaction mechanisms. Case studies across different industries demonstrate the practical applications and benefits of this technology. The discussion includes challenges such as data privacy, integration complexity, and the need for standardized protocols. Future research directions focus on advancing AI algorithms for better predictive capabilities and creating more robust, scalable Digital Twin frameworks. This paper underscores the transformative potential of AI-enhanced Digital Twins in creating agile, resilient, and intelligent supply chains.
{"title":"Digital Twins in Supply Chain Operations Bridging the Physical and Digital Worlds using AI.","authors":"Manuel Enrique, Chenet Zuta, Chaitanya Koneti, Dr Olivares Zegarra, Venus Flor, Marina Carvajal-Ordoñez","doi":"10.52783/jes.5434","DOIUrl":"https://doi.org/10.52783/jes.5434","url":null,"abstract":"Digital Twins (DTs) are revolutionizing supply chain operations by creating dynamic digital replicas of physical assets, processes, and systems. This paper explores the integration of Artificial Intelligence (AI) with Digital Twins to bridge the physical and digital worlds in supply chain management. By leveraging AI, Digital Twins can analyze real-time data, predict future events, and optimize decision-making processes. This synergy enhances operational efficiency, reduces costs, and improves responsiveness to disruptions. We delve into the architecture of AI-driven Digital Twins, highlighting their components, data flow, and interaction mechanisms. Case studies across different industries demonstrate the practical applications and benefits of this technology. The discussion includes challenges such as data privacy, integration complexity, and the need for standardized protocols. Future research directions focus on advancing AI algorithms for better predictive capabilities and creating more robust, scalable Digital Twin frameworks. This paper underscores the transformative potential of AI-enhanced Digital Twins in creating agile, resilient, and intelligent supply chains. ","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141835734","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}
The main objective of the automated circuit sizing technique is to deal with the challenges of design tradeoffs in analog circuit design with improved accuracy and efficacy. Analog circuit design represents a multi-objective optimization challenge, where designers must properly balance various performance factors such as input and output impedance, power dissipation, area, unity-gain bandwidth, slew rate, and open-loop DC gain. Traditional design equations provide a sizing of differential amplifier MOS transistors, further optimization can be achieved through the application of meta-heuristic search techniques. Meta-heuristic search techniques can be used as local optimizers in a smaller search area to improve the optimization of design parameters. The differential amplifier circuit with current mirror load is optimized through the application of the Dung Beetle Optimization (DBO) algorithm. By using an evolutionary algorithm called DBO, all the required parameters were achieved with the least amount of transistor area and power dissipation when compared to the results of the Seeker Optimization Algorithm (SOA), Opposition based Harmony Search Algorithm (OHS), craziness-based particle swarm optimization (CRPSO), and Cuckoo Search (CS) algorithms.
{"title":"A Novel Dung Beetle Optimization Approach for Automatic CMOS Analog Circuit Design","authors":"Dhaval N. Patel, Dharmesh J. Shah","doi":"10.52783/jes.4983","DOIUrl":"https://doi.org/10.52783/jes.4983","url":null,"abstract":"The main objective of the automated circuit sizing technique is to deal with the challenges of design tradeoffs in analog circuit design with improved accuracy and efficacy. Analog circuit design represents a multi-objective optimization challenge, where designers must properly balance various performance factors such as input and output impedance, power dissipation, area, unity-gain bandwidth, slew rate, and open-loop DC gain. Traditional design equations provide a sizing of differential amplifier MOS transistors, further optimization can be achieved through the application of meta-heuristic search techniques. Meta-heuristic search techniques can be used as local optimizers in a smaller search area to improve the optimization of design parameters. The differential amplifier circuit with current mirror load is optimized through the application of the Dung Beetle Optimization (DBO) algorithm. By using an evolutionary algorithm called DBO, all the required parameters were achieved with the least amount of transistor area and power dissipation when compared to the results of the Seeker Optimization Algorithm (SOA), Opposition based Harmony Search Algorithm (OHS), craziness-based particle swarm optimization (CRPSO), and Cuckoo Search (CS) algorithms.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141837962","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}
Rachana J. Patel, Fedrik Macwan, Jayendra C. Patel
In this research paper, we present a novel space vector-based hysteresis current control (HCC) scheme for standard two-level voltage source inverter (VSI) shunt active power filters (SAPFs). The performance of the SAPF is evaluated under three loading scenarios: steady-state, transient, and unbalanced conditions. These evaluations focus on the SAPF's effectiveness in reducing the total harmonic distortion (THD) in the source current. The simulations are conducted using PSIM software, which includes a special dynamic link library (DLL) block. A fast Fourier transform (FFT) algorithm is utilized to generate the harmonic current components as a reference signal. The compensating current injected by the SAPF is controlled by gate pulses applied to the switching devices of each leg, determined by the logic behind the novel space vector-based HCC scheme.
{"title":"Performance Evaluation of SAPFs Using Space Vector-Based HCC Under Various Loading Conditions","authors":"Rachana J. Patel, Fedrik Macwan, Jayendra C. Patel","doi":"10.52783/jes.4981","DOIUrl":"https://doi.org/10.52783/jes.4981","url":null,"abstract":"In this research paper, we present a novel space vector-based hysteresis current control (HCC) scheme for standard two-level voltage source inverter (VSI) shunt active power filters (SAPFs). The performance of the SAPF is evaluated under three loading scenarios: steady-state, transient, and unbalanced conditions. These evaluations focus on the SAPF's effectiveness in reducing the total harmonic distortion (THD) in the source current. The simulations are conducted using PSIM software, which includes a special dynamic link library (DLL) block. A fast Fourier transform (FFT) algorithm is utilized to generate the harmonic current components as a reference signal. The compensating current injected by the SAPF is controlled by gate pulses applied to the switching devices of each leg, determined by the logic behind the novel space vector-based HCC scheme.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141837969","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}
Rachana J. Patel, L. K. Katariya, Z. B. Parekh, Jayendra C. Patel
The increasing adoption of High Voltage Direct Current (HVDC) systems for efficient long-distance power transmission and renewable energy integration necessitates advanced protection mechanisms to ensure system stability and reliability. Among these, HVDC circuit breakers play a pivotal role in interrupting fault currents and safeguarding HVDC networks. This review paper provides a comprehensive analysis of HVDC circuit breaker technologies, encompassing mechanical, solid-state, and hybrid designs. The paper discusses recent innovations and advancements in HVDC circuit breaker technology, including the integration of fault current limiters and novel switching mechanisms. Case studies of implemented HVDC circuit breaker systems are presented to illustrate practical applications and performance in real-world scenarios. Additionally, the review addresses future research directions in the development of HVDC circuit breakers, emphasizing the need for continued innovation to meet the evolving demands of modern power grids. This paper aims to serve as a valuable resource for researchers, engineers, and policymakers involved in the design and deployment of HVDC systems.
{"title":"Development in HVDC Circuit Breaker - A Review","authors":"Rachana J. Patel, L. K. Katariya, Z. B. Parekh, Jayendra C. Patel","doi":"10.52783/jes.4968","DOIUrl":"https://doi.org/10.52783/jes.4968","url":null,"abstract":"The increasing adoption of High Voltage Direct Current (HVDC) systems for efficient long-distance power transmission and renewable energy integration necessitates advanced protection mechanisms to ensure system stability and reliability. Among these, HVDC circuit breakers play a pivotal role in interrupting fault currents and safeguarding HVDC networks. This review paper provides a comprehensive analysis of HVDC circuit breaker technologies, encompassing mechanical, solid-state, and hybrid designs. The paper discusses recent innovations and advancements in HVDC circuit breaker technology, including the integration of fault current limiters and novel switching mechanisms. Case studies of implemented HVDC circuit breaker systems are presented to illustrate practical applications and performance in real-world scenarios. Additionally, the review addresses future research directions in the development of HVDC circuit breakers, emphasizing the need for continued innovation to meet the evolving demands of modern power grids. This paper aims to serve as a valuable resource for researchers, engineers, and policymakers involved in the design and deployment of HVDC systems.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141838117","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}
Diabetic Retinopathy (DR) is the leading cause of blindness among individuals with diabetes. Automating the diagnosis of DR has the potential to greatly benefit patients by enabling early detection and intervention, thus reducing the risk of blindness. The primary objective of this research is to develop a robust approach for the classification of DR and to analyze its severity grading. By achieving this, we aim to provide an effective tool for accurate diagnosis and assessment of DR, contributing to improved patient care and outcomes. The current literature review analysis reported the importance of deep learning in computer vision based applications. Moreover, plenty of pre-trained models are also present which can be used for classification tasks. Therefore, we present a hybrid DL classification approach by combining Inception V3, VGG-19 and ResNet 50. The proposed architecture uses transfer learning, and feature fusion model to produce the weighted feature vector which is used for classification analysis. The proposed approach is experimented on publicly available datasets APTOS-2019 and Messidor. The performance is measured in terms of accuracy, precision, recall and F1-score.
糖尿病视网膜病变（DR）是导致糖尿病患者失明的主要原因。糖尿病视网膜病变的自动诊断可实现早期检测和干预，从而降低失明风险，使患者受益匪浅。本研究的主要目标是开发一种用于 DR 分类的稳健方法，并分析其严重程度分级。通过实现这一目标，我们希望为准确诊断和评估 DR 提供有效工具，从而改善患者护理和治疗效果。当前的文献综述分析报告了深度学习在基于计算机视觉的应用中的重要性。此外，还有大量预训练模型可用于分类任务。因此，我们结合 Inception V3、VGG-19 和 ResNet 50，提出了一种混合 DL 分类方法。所提出的架构使用迁移学习和特征融合模型生成加权特征向量，用于分类分析。拟议方法在公开数据集 APTOS-2019 和 Messidor 上进行了实验。性能以准确率、精确度、召回率和 F1 分数来衡量。
{"title":"Hybrid Deep Transfer Learning and Feature Fusion Architecture for Diabetic Retinopathy Classification and Severity Grading","authors":"Dr Meenakshi Sundaram","doi":"10.52783/jes.4944","DOIUrl":"https://doi.org/10.52783/jes.4944","url":null,"abstract":"Diabetic Retinopathy (DR) is the leading cause of blindness among individuals with diabetes. Automating the diagnosis of DR has the potential to greatly benefit patients by enabling early detection and intervention, thus reducing the risk of blindness. The primary objective of this research is to develop a robust approach for the classification of DR and to analyze its severity grading. By achieving this, we aim to provide an effective tool for accurate diagnosis and assessment of DR, contributing to improved patient care and outcomes. The current literature review analysis reported the importance of deep learning in computer vision based applications. Moreover, plenty of pre-trained models are also present which can be used for classification tasks. Therefore, we present a hybrid DL classification approach by combining Inception V3, VGG-19 and ResNet 50. The proposed architecture uses transfer learning, and feature fusion model to produce the weighted feature vector which is used for classification analysis. The proposed approach is experimented on publicly available datasets APTOS-2019 and Messidor. The performance is measured in terms of accuracy, precision, recall and F1-score. ","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141680654","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}
Rural sports support unity among communities, encourage physical exercise in natural environments, and preserve regional traditions all of which are beneficial to sustainable development. Villages frequently encourage environmental stewardship and conservation initiatives, highlight cultural history, and promote local economies. By providing realistic practice environments and simulated games, we used virtual reality (VR) technology to improve rural sports and lessen the demand for substantial development infrastructure. A potential disadvantage of adopting VR technology for rural sports is the possibility of insufficient facilities and supplies available in remote areas. In this paper, we propose a novel World Cup Search-driven Quadratic Support Vector Machine (WCS-QSVM) method to enhance the performance of VR in rural sports. We use one of the Chisnese traditional games dragons boating. We employ an immersive setup that replicates the kinematic and sensory subtleties of dragon boating through the use of virtual reality. To allow users to participate in real-world paddling activities, such as moving iron rods on a boat with a reasonably replicated resistance to water, we use a controller-based approach. As a result, we evaluate the performance of our proposal. According to the findings, the use of VR can enhance the growth of sustainable development in rural sports.
{"title":"Virtual Reality Technology in Rural Sports Sustainable Development Reform Research","authors":"Wang Luo, Xiang Lin Luo","doi":"10.52783/jes.4929","DOIUrl":"https://doi.org/10.52783/jes.4929","url":null,"abstract":"Rural sports support unity among communities, encourage physical exercise in natural environments, and preserve regional traditions all of which are beneficial to sustainable development. Villages frequently encourage environmental stewardship and conservation initiatives, highlight cultural history, and promote local economies. By providing realistic practice environments and simulated games, we used virtual reality (VR) technology to improve rural sports and lessen the demand for substantial development infrastructure. A potential disadvantage of adopting VR technology for rural sports is the possibility of insufficient facilities and supplies available in remote areas. In this paper, we propose a novel World Cup Search-driven Quadratic Support Vector Machine (WCS-QSVM) method to enhance the performance of VR in rural sports. We use one of the Chisnese traditional games dragons boating. We employ an immersive setup that replicates the kinematic and sensory subtleties of dragon boating through the use of virtual reality. To allow users to participate in real-world paddling activities, such as moving iron rods on a boat with a reasonably replicated resistance to water, we use a controller-based approach. As a result, we evaluate the performance of our proposal. According to the findings, the use of VR can enhance the growth of sustainable development in rural sports.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.5,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141687197","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}
Business culture has been passed down in China for thousands of years and plays an important role in cultivating outstanding business talents. The purpose of this paper is to explore the significance and strategy of developing the curriculum standard of Chinese traditional business culture. First of all, by analyzing the concept of business culture, we can deeply understand the unique value of Chinese traditional business culture. Secondly, it discusses the significance of the development of business culture curriculum standards for cultivating students' professional quality, providing cultural support for innovation and entrepreneurship education and building a cultural power, and recognizes its importance to business college education. Finally, according to the data obtained from the questionnaire survey, this paper puts forward some strategies and suggestions for developing Chinese traditional business culture courses in Chongqing business colleges. Through this study, first, I hope to provide support for Chongqing business colleges to cultivate business talents with Chinese business wisdom and innovation ability; Second, I hope to promote the unique value of Chinese traditional culture in the commercial field to be more widely recognized and applied.
{"title":"Significance and Strategy of Developing Chinese Traditional Business Culture Curriculum Standards in Chongqing Business Colleges","authors":"Yating Huang","doi":"10.52783/jes.4538","DOIUrl":"https://doi.org/10.52783/jes.4538","url":null,"abstract":"Business culture has been passed down in China for thousands of years and plays an important role in cultivating outstanding business talents. The purpose of this paper is to explore the significance and strategy of developing the curriculum standard of Chinese traditional business culture. First of all, by analyzing the concept of business culture, we can deeply understand the unique value of Chinese traditional business culture. Secondly, it discusses the significance of the development of business culture curriculum standards for cultivating students' professional quality, providing cultural support for innovation and entrepreneurship education and building a cultural power, and recognizes its importance to business college education. Finally, according to the data obtained from the questionnaire survey, this paper puts forward some strategies and suggestions for developing Chinese traditional business culture courses in Chongqing business colleges. Through this study, first, I hope to provide support for Chongqing business colleges to cultivate business talents with Chinese business wisdom and innovation ability; Second, I hope to promote the unique value of Chinese traditional culture in the commercial field to be more widely recognized and applied. ","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354877","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}
When lightning current strikes the blade lightning arrester and travels through the down conductor and tower, it forms a wave process that impacts the impulse grounding resistance and ground potential rise of the grounding device. To study the transient characteristics of gravity grounding devices for offshore wind turbines under lightning strikes, a novel comprehensive model of offshore wind turbines was developed. This model integrates the Method of Moments (MoM) and Fourier transform, considering the complete path of lightning current from the wind turbine to the ground. The model includes blades, tower, and grounding device. The study examines the effects of varying seawater depths, silt layer soil resistivities, lightning current waveforms, and tower heights on the impulse characteristics of grounding devices during lightning strikes on wind turbine blades. The influence mechanism is analyzed using wave process theory. Calculations indicate that when the seawater depth is 0 m, the impulse grounding resistance significantly increases with the rise in soil resistivity of the silt layer. As the seawater depth increases, the influence of silt layer soil resistivity on impulse grounding resistance diminishes significantly. The shorter the lightning current wavefront time, the higher the potential rise of the grounding device. However, when the wavefront time of the lightning current is long, the oscillation attenuation of the grounding device's potential rise is not significant. The height of the wind turbine tower affects the oscillation frequency of the ground potential rise of the grounding device, with the oscillation frequency being inversely proportional to the tower height.
{"title":"Analysis of Lightning Transient Characteristics of Gravity Grounding Devices for Offshore Wind Turbines","authors":"Haoyu Liu, Zhibo Yang, Hongdan Zhao, Keyu Yue","doi":"10.52783/jes.4511","DOIUrl":"https://doi.org/10.52783/jes.4511","url":null,"abstract":"When lightning current strikes the blade lightning arrester and travels through the down conductor and tower, it forms a wave process that impacts the impulse grounding resistance and ground potential rise of the grounding device. To study the transient characteristics of gravity grounding devices for offshore wind turbines under lightning strikes, a novel comprehensive model of offshore wind turbines was developed. This model integrates the Method of Moments (MoM) and Fourier transform, considering the complete path of lightning current from the wind turbine to the ground. The model includes blades, tower, and grounding device. The study examines the effects of varying seawater depths, silt layer soil resistivities, lightning current waveforms, and tower heights on the impulse characteristics of grounding devices during lightning strikes on wind turbine blades. The influence mechanism is analyzed using wave process theory. Calculations indicate that when the seawater depth is 0 m, the impulse grounding resistance significantly increases with the rise in soil resistivity of the silt layer. As the seawater depth increases, the influence of silt layer soil resistivity on impulse grounding resistance diminishes significantly. The shorter the lightning current wavefront time, the higher the potential rise of the grounding device. However, when the wavefront time of the lightning current is long, the oscillation attenuation of the grounding device's potential rise is not significant. The height of the wind turbine tower affects the oscillation frequency of the ground potential rise of the grounding device, with the oscillation frequency being inversely proportional to the tower height. ","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141360101","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}
The structure of grid-connected wind power system is complex and constantly changing operating conditions.It is challenging to establish a physical model of grid-connected wind power and analyze its modal parameters to ensure the stable operation of the system. A hybrid algorithm for modal parameter identification based on blind source separation is proposed in this work. In this paper, based on the detailed model of the wind-fire bundling of the double-fed fan, combined with the impedance analysis method, the principle of the system's sub-synchronous oscillation is analyzed, the detailed structural model and mathematical formula are established, and the strongly correlated variables are selected as the basis for the following research. Then, the algorithm of removing noise and harmonic interference is combined with the identification algorithm to analyze the sub-synchronous oscillation modes and related parameters in the grid-connected wind power system. Finally, this paper constructs the ideal model and the IEEE first model containing doubly-fed fan system simulation t, and the accuracy and effectiveness of the BSS-DMD method are proved. The frequency error can reach less than 1%, and the damping ratio error does not exceed 3%. This identification method with high accuracy can provide a new solution and basis for the power system stability problem caused by the sub-synchronous oscillation phenomenon of wind power connected to the grid.
并网风力发电系统结构复杂，运行条件不断变化，建立并网风力发电物理模型并分析其模态参数以确保系统稳定运行具有挑战性。本文提出了一种基于盲源分离的模态参数识别混合算法。本文基于双馈风机风火打捆的详细模型，结合阻抗分析方法，分析了系统亚同步振荡的原理，建立了详细的结构模型和数学公式，并选取了强相关变量作为后续研究的基础。然后，将去除噪声和谐波干扰的算法与识别算法相结合，分析并网风力发电系统的次同步振荡模式及相关参数。最后，本文构建了包含双馈风机系统仿真 t 的理想模型和 IEEE 第一模型，证明了 BSS-DMD 方法的准确性和有效性。频率误差小于 1%，阻尼比误差不超过 3%。这种高精度的识别方法可为解决风电并网时的亚同步振荡现象引起的电力系统稳定性问题提供新的解决方案和依据。
{"title":"Research on Sub-Synchronous Oscillation Mode and Parameter Identification of Wind-Fire Bundling System","authors":"Zhao Tianyu","doi":"10.52783/jes.4407","DOIUrl":"https://doi.org/10.52783/jes.4407","url":null,"abstract":"The structure of grid-connected wind power system is complex and constantly changing operating conditions.It is challenging to establish a physical model of grid-connected wind power and analyze its modal parameters to ensure the stable operation of the system. A hybrid algorithm for modal parameter identification based on blind source separation is proposed in this work. In this paper, based on the detailed model of the wind-fire bundling of the double-fed fan, combined with the impedance analysis method, the principle of the system's sub-synchronous oscillation is analyzed, the detailed structural model and mathematical formula are established, and the strongly correlated variables are selected as the basis for the following research. Then, the algorithm of removing noise and harmonic interference is combined with the identification algorithm to analyze the sub-synchronous oscillation modes and related parameters in the grid-connected wind power system. Finally, this paper constructs the ideal model and the IEEE first model containing doubly-fed fan system simulation t, and the accuracy and effectiveness of the BSS-DMD method are proved. The frequency error can reach less than 1%, and the damping ratio error does not exceed 3%. This identification method with high accuracy can provide a new solution and basis for the power system stability problem caused by the sub-synchronous oscillation phenomenon of wind power connected to the grid.","PeriodicalId":44451,"journal":{"name":"Journal of Electrical Systems","volume":null,"pages":null},"PeriodicalIF":0.4,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377808","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}
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