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检索条件"任意字段=IEEE International Conference on e-Science and Grid Computing"

共 17242 条记录，以下是151-160 订阅

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Cloud edge Collaborative Interaction Technology Based On Compzxutility Boards 4

Cloud Edge Collaborative Interaction Technology Based On Com...

引用

4th ieee international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Xie, Yehua Zhang, Chuanyu Chang, Bo Zhou, Jianxin Liu, Hongkun Wang, Xiaojin Nari Group Corporation State Grid Electric Power Research Institute Jiangsu China Nari Technology Development Co. Ltd Jiangsu China NARI-TECH Nanjing Control Systems Ltd Jiangsu China

ISBN: (纸本)9798350363586

The cloud-edge collaborative interaction technology, leveraging computing power boards, comprises cloud application management services, edge application management clients, and computing power boards. This technology and system serve as a bridge for application and data interaction between cloud and edge systems. The application management service is hosted in the cloud, while the application management client resides on the edge, and the computing power board is integrated into the physical server on the edge. The application management service encompasses modules like application management and edge management. The computing power board facilitates the subscription and deployment of lightweight AI large model applications at the edge. This technology enables the publication, subscription, downloading, and deployment of applications, standardizes application management, facilitates seamless upgrades, enables remote operation and maintenance, and enriches the application ecosystem. © 2024 ieee.

关键词： Mobile edge computing

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Research on Cloud Security Power grid Model Simulation System Based on Computer Big Data Technology 3

Research on Cloud Security Power Grid Model Simulation Syste...

引用

2023 ieee 3rd international conference on Data science and Computer Application, ICDSCA 2023

作者： Xi, Wang Ming, Chen Shuang, Yang Dingwen, Zhang Yibin, Zhao Conghui, Xing China of Limited Company of Jilin Province Power Communication Company Changchun130021 China State Grid Jilin Electric Power Company Limited Changchun130021 China State Grid Info-Telecom Greate Power Science and Technology Co. Ltd Fuzhou350003 China

ISBN: (纸本)9798350341546

In this paper, a model of active distribution network safety monitoring system based on big data mining platform is established. This model combines multiple detection techniques and uses three-stage detection methods in the analysis equipment engine. A fuzzy encryption processing model of power flow information is proposed, which can improve the computing efficiency of static security analysis of power system under cloud computing environment on the premise of ensuring power flow information security. Through the simulation analysis of the fault diagnosis example, the results show that the proposed fault diagnosis algorithm is fast, accurate and effective. © 2023 ieee.

关键词： Big Data Cloud Security Computer Power grid Model Simulation System

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The application of Gaussian-Rayleigh mixture model in remote sensing image segmentation 9

The application of Gaussian-Rayleigh mixture model in remote...

引用

9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Sun, Xiaoxue Yang, Yue Li, Yanhao Gao, Guoren Jilin Agriculture Science and Technology University Mechanical Engineering Department Jilin Jilin China State Grid Liaoning Extra High Voltage Company Liaoning Anshan China

ISBN: (纸本)9798350376548

This paper employs the entropy-Max method to determine the optimal number of classes in an image, utilizes the Markov Random Field (MRF) method to complete the image segmentation, and addresses the computation of maximum a posteriori probability during the segmentation process using the Iterative Conditional Model (ICM). Three remote sensing images are used in the experiments, comparing the segmentation and fitting results using Gaussian Mixture Mode (GMM) and Gaussian-Rayleigh Mixture Model (GRMM). © 2024 ieee.

关键词： Image segmentation

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Large-signal Stability Analysis of e-SOP based on T-S Fuzzy Modeling 9

Large-signal Stability Analysis of E-SOP based on T-S Fuzzy ...

引用

9th international conference on Power and Renewable energy

作者： Wang, Yang Cai, Yongxiang Zheng, Huajun Tan, Zhukui Chen, Dou He, Mingjun Guizhou Power Grid Co Ltd Elect Power Res Inst Guiyang Peoples R China Guizhou Univ Sch Elect Engn Guiyang Peoples R China

ISBN: (纸本)9798350377477;9798350377460

Flexible interconnection devices enhance the ability of distribution network to accommodate large-scale distributed sources and loads, while the interactive coupling among high proportion of power electronic devices may affect the operational stability of the distribution network. To quantify the effects of system parameters, control modes, and control parameters on the stability of the interconnection systems between different distribution areas via energy-storage Flexible Multi-State Switch (e-SOP), this paper conducts a study on the large-signal stability of e-SOP based on the T-S fuzzy model. According to the topology and control strategy of the e-SOP, the T-S fuzzy model is derived, the attraction domain estimation method based on the model is given, and the effects of the main circuit parameters, the parameters characterizing the operating point information, and the control parameters on the large-signal stability of the e-SOP are analyzed using the attraction domain. The theoretical analysis results are compared and analyzed with the time-domain simulation results to verify the correctness of the proposed method for estimating attraction domain to judge the large-signal stability of e-SOP using the T-S fuzzy model.

关键词： flexible distribution network e-SOP large disturbance stability average model T-S fuzzy model linear matrix inequality

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enhancing Blockchain Layer in Smart grid edge IoT Devices to Improve Data Security 4

Enhancing Blockchain Layer in Smart Grid Edge IoT Devices to...

引用

4th international conference on emerging Trends in Networks and Computer Communications, eTNCC 2024

作者： Iindombo, Sakaria Chitauro, Mecy Namibia University of Science and Technology Department of Cyber Security Windhoek Namibia

ISBN: (纸本)9798350353266

With the proliferation of Internet of Things (IoT) devices in smart grid edge computing environments, ensuring robust data security has become paramount. This research explores an enhanced blockchain layer to strengthen edge IoT devices data security using lightweight security protocols. This study evaluates the efficacy of the blockchain layer in bolstering data security, focusing on its ability to mitigate risks such as unauthorized access, availability, and data breaches. Through empirical analysis and experimentation, the performance and effectiveness of the blockchain-based security measures are assessed, considering factors such as compatibility, scalability, and performance. In order to obtain a deeper understanding of the subject matter, a qualitative method is used to gather, organize, and evaluate available data from various relevant sources. The findings provide valuable insights into the practical implementation and impact of blockchain technology in securing data within smart grid edge computing environments, ultimately contributing to the advancement of secure and reliable energy infrastructures. © 2024 ieee.

关键词： blockchain cryptographic functions IoT devices security and privacy Smart grid

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Research on Time Delay effect in Demand Response of Central Air Conditioning 3

Research on Time Delay Effect in Demand Response of Central ...

引用

3rd international conference on Artificial Intelligence, Internet of Things and Cloud computing Technology, AIoTC 2024

作者： Wang, Yan Li, Tieshi Sun, Jiaqi Zhu, Bo Gu, Xin State Grid Shenyang Electric Power Supply Company Shenyang China

ISBN: (纸本)9798331530280

With the growth of China's economy, electricity demand has surged, making efficient demand-side resource utilization essential. However, the randomness of energy consumption has led to increased grid load fluctuations. Building energy use, particularly air conditioning, contributes significantly to this demand. By shutting down chillers, air conditioning systems can aid in peak load reduction during grid demand response. Given the randomness and short duration of these events, air conditioning systems, as large-delay systems, face regulation delays and attenuation. This paper presents a simplified model for calculating time-delay effects in chilled water air conditioning systems and validates the calculation errors. Simulations explore the impact of time-delay on cooling capacity and indoor thermal conditions, emphasizing the variations under different demand response scenarios. © 2024 ieee.

关键词： Demand response

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Research on the Proximity Warning of Lightning Activity Based on Atmospheric Reanalysis Dataset 6

Research on the Proximity Warning of Lightning Activity Base...

引用

6th ieee international conference on Power, Intelligent computing and Systems, ICPICS 2024

作者： Liao, Minchuan Qu, Lu Chen, Huaifei Lv, Qianyong Mao, Xianyin Zhou, Zongguo Wu, Yu Deng, Yeqiang Chen, Yuzhe Electric Power Research Institute of China Southern Power Grid Co. Ltd State Key Laboratory of Hvdc Transmission Technology Guangzhou China Science Institute of Power System of Guizhou Power Grid Co. Ltd Key Laboratory of Ice Prevention & Disaster Reducing China Southern Power Grid Co. Ltd Guiyang China Anshun Power Supply Bureau Guizhou Power Grid Co. Ltd Anshun China Bijie Power Supply Bureau Guizhou Power Grid Co. Ltd Bijie China Electric Power Research Institute China Southern Power Grid Co. Guangzhou China

ISBN: (纸本)9798350374315

Lightning disaster is one of the most harmful disasters to the power system. The current research on lightning proximity warning based on a single class of data is difficult to make a breakthrough in warning accuracy and effectiveness. Therefore, this paper taps into the multidimensional fusion of applied atmospheric reanalysis data to explore the key factors of lightning phenomena on a larger scale. Firstly, the meteorological data and ground flash data were unified with spatial and temporal resolution, and then the KNN model was trained and optimized to compare with common machine learning models such as decision tree, SVM and BP neural network. Then lightning approach prediction with a prediction lead time of 0-60 min was realized by the optimal KNN machine learning algorithm, and the accuracy was improved to about 70%. Finally, it is found that the FAR of the model warning decreases significantly as the misclassification cost rises, but the value needs to be taken according to the actual situation. This study can provide a reference for lightning protection in power systems. © 2024 ieee.

关键词： Lightning arresters

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Robust Optimal Scheduling of Integrated energy System Considering Flexible Load and Uncertainty 9

Robust Optimal Scheduling of Integrated Energy System Consid...

引用

9th international conference on Intelligent computing and Signal Processing, ICSP 2024

作者： Yu, Peng Wang, Shunjiang Wang, Rongmao Guo, Meng Wang, Hao State Grid Liaoning Electric Power Supply Co. Ltd Shenyang China Shenyang Power Supply Company State Grid Liaoning Electric Power Co.Ltd. Shenyang China Shenyang University of Technology Shenyang China

ISBN: (纸本)9798350376548

In order to improve the utilization efficiency of renewable energy and promote the consumption of photovoltaic energy. Firstly, an economic scheduling model considering flexible load is constructed with the minimum comprehensive operating cost as the objective function, taking the characteristics of flexible load on demand side as transferable, transferable and reducible. Secondly, consider the uncertainty of photovoltaic output, real-time electricity price and electric vehicle load power. According to the coupling characteristics between real-time electricity price and electric vehicle load power, the uncertainty set of electric vehicle load power is reduced. Finally, the nonlinear uncertainty set is optimized with robust linearity. The results show that the economic benefit of the system can be effectively improved by considering the uncertain factors and adjusting the flexible load. It has positive significance for promoting the large-scale utilization of clean energy and the construction of smart grid. © 2024 ieee.

关键词： Photovoltaics

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e-VarifocalNet: A Lightweight Model to Detect Insulators and Their Defects under Power grid Surveillance 21

E-VarifocalNet: A Lightweight Model to Detect Insulators and...

引用

ieee 21st international conference on Industrial Informatics (INDIN)

作者： Chao Ouyang Haijun Zhang Xiangyu Mu Zhou Wu Wei Dai Harbin Inst Technol Dept Comp Sci Shenzhen Peoples R China Chongqing Univ Sch Automat Chongqing Peoples R China China Univ Min & Technol Artificial Intelligence Res Inst Xuzhou Jiangsu Peoples R China

ISBN: (纸本)9781665493130

Detecting insulators and their defects is a key task in real-time power grid surveillance with the rapid development of national smart grid. Traditional surveillance usually relies on maintenance personnel, leading to the issues of inefficiency and unsafety. Thus, with the prosperity of deep learning, we proposed a detection algorithm, named e-VarifocalNet, which is an enhanced version of the basic VarifocalNet method. The proposed e-VarifocalNet is specifically designed for detecting insulators and their defects. We developed a classification loss based on varifocal loss and the number of samples to solve the imbalance problem in object detection. Furthermore, a regression loss based on GIoU loss and Wasserstein distance is designed to gain higher flexibility in the representation of bounding boxes. Additionally, we applied a feature pyramid network based on dilated convolution and heatmap to build global and local semantic relations among pixels so as to enhance the detection accuracy on salient areas. Our dataset containing 2,100 images and 5,217 object instances was collected through real-time drones and an open data platform. Our e-VarifocalNet gets the highest mAP and a low model complexity on our dataset among state-of-the-art object detectors, indicating the potential of our algorithm in real-time power grid surveillance applications.

关键词： Insulators and their defects Object detection Power grid Deep learning Lightweight

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Design and Research of Cloud-edge Resource Security Management Scheme Based on Zero Trust Architecture 3

Design and Research of Cloud-edge Resource Security Manageme...

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2023 ieee 3rd international conference on Data science and Computer Application, ICDSCA 2023

作者： Song, Wen Liu, Hui Zhang, Mingming Cai, Jing State Grid Electric Power Research Institute Nanjing China State Grid Jiangsu Electric Power Co. Ltd. Nanjing China

ISBN: (纸本)9798350341546

This article first introduces the security requirements of the current State grid for edge site resource management, and then introduces the current edge platform and zero trust architecture. Next, a cloud-edge resource security management scheme based on zero trust architecture is introduced, and relevant tests are conducted on the scheme. The experiment shows that the scheme has achieved the expected design effect and has good performance. Finally, combined with the current promotion of Digital transformation of the State grid, the next research direction is pointed out. © 2023 ieee.

关键词： edge computing resource management security zero trust

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