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Research and Application of Centralized Control Visual Tension Paying Off Field early Warning System and equipment 3

Research and Application of Centralized Control Visual Tensi...

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3rd ieee international conference on electrical engineering, Big Data and Algorithms, eeBDA 2024

作者： Ya'ao, Zhou Ming, Jiang Yongchuan, Yu Fei, Peng Guolei, Sun China Electric Power Research Institute Beijing China State Grid Shandong Electric Power Company Construction Company Jinan China

ISBN: (纸本)9798350380989

As a core component of overhead line engineering construction, the construction safety of tension wire laying is crucial to the safety and high-quality development of power grid construction. At present, the monitoring method for tension wire laying process is single, and it is unable to timely and effectively monitor the situation of wire running or breakage. The centralized control visualization tension payout on-site warning system consists of wireless self-organizing network transmission equipment, visualization monitoring equipment, digital tensioning equipment, centralized control equipment, etc. It realizes real-time monitoring, evaluation, adjustment, and warning of the entire process of tension payout, greatly reducing the probability of tension payout construction accidents, effectively improving the safety of payout construction and ensuring construction quality. This study investigates self-organizing network technology, tension monitoring equipment, and intelligent monitoring and early warning technology suitable for transmission line circuit sites. It also conducts research and application on a centralized control visualization tension release on-site early warning system. The developed tension release entire process monitoring, control, feedback adjustment, and early warning integrated system breaks through the technical bottleneck in the field of tension release monitoring. © 2024 ieee.

关键词： centralized control visualization early warning system Overhead transmission line simulation evaluation

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Research on Demand Response Data Compression Based on Neural Network under 5G environment 5

Research on Demand Response Data Compression Based on Neural...

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5th ieee international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Pan, Yuqing Qi, Bing Li, Bin Zhu, enguo Liu, Yan Lu, Chunguang Wang, Chaoliang School of Electrical and Electronic Engineering North China Electric Power University Beijing China China Electric Power Research Institute Beijing China State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China

ISBN: (纸本)9798350333442

In the context of 5G, data volume is exploding, and data transmission and processing are facing challenges. In this paper, a data compression algorithm based on neural network is proposed to solve the problem of large scale and high dimension of demand response data in the process of transmission and storage. By mapping demand response data to low dimensional space for representation, the algorithm effectively reduces the amount of data and improves the efficiency of data transmission and storage. The algorithm uses Long Short Term Memory network for data compression and restoration. The experimental results show that the data compression algorithm based on neural network has good compression effect and accuracy. At the same time, the algorithm has good versatility and adaptability, and can be applied to the compression and restoration of data sets of different types and sizes, providing an effective solution for efficient demand response data processing. © 2023 ieee.

关键词： Restoration

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Performance Investigations of PV grid-Integrated Modular Multilevel Inverter 7

Performance Investigations of PV Grid-Integrated Modular Mul...

引用

7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Parimalasundar, e. Sravanti, P. Razzak, S.K. Abdul Abhigna, P. Naga Maruthi Hussain, S.M.M.D. Zubair Mandal, Ram Krishna Electrical and Electronics Engineering Sree Vidyanikethan Engineering College Tirupati India

ISBN: (纸本)9781665464086

This paper proposes a single-phase multilevel inverter with seven levels output for grid connected photovoltaic applications. With the appropriate gate signal configuration, the seven-level inverters which are proposed keep producing seven-level alternating current (AC) root mean square output voltages. In this photovoltaic (PV) based multilevel inverters are currently focusing on minimizing the number of power electronics switches and DC input sources with an acceptable total harmonic distortion of the voltage waveform output in order to reduce expenses and losses. The proposed seven-level inverter can reduce power dissipation and voltage stresses in power semiconductor converters. The proposed converter has fewer power switches and is more dependable. © 2023 ieee.

关键词： electric inverters

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Performance evaluation of IeC 61850 GOOSe Messages over a 5G Network for Protection Coordination in Smart grid 14

Performance Evaluation of IEC 61850 GOOSE Messages over a 5G...

引用

14th ieee international conference on Communications, Control, and computing Technologies for Smart grids, SmartgridComm 2023

作者： Zerihun, Tesfaye Amare Lundkvist, Henrik Acevedo, Santiago Sanchez Sintef Energy Research Trondheim Norway Sintef Digital Trondheim Norway

ISBN: (纸本)9781665455541

With low latency communication, it is possible to improve the reliability and reduce the downtime for the electric grids with coordination of digital protection relays. 5G wireless networks are quickly getting better coverage and becoming a viable alternative for smart grid communication. Moreover, there is a significant enthusiasm within the mobile network industry for energy use cases in this context. In this paper, we evaluate the feasibility of using a commercial 5G-NR access network with 4G core for protection coordination using IeC 61850 GOOSe. This is intended to validate previous studies that have evaluated smart grid communication over experimental 5G networks and to give practical insights on how to approach the configuration of protection coordination considering the limitations of the mobile network. © 2023 ieee.

关键词： 5G mobile communication systems

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Cutting-edge Predictive Methods for enhancing Short-Term Load Prediction

Cutting-Edge Predictive Methods for Enhancing Short-Term Loa...

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2024 international conference on electrical and Computer engineering Researches, ICeCeR 2024

作者： Ghazal, Taher M. Janjua, Jamshaid Iqbal Abushiba, Walid Ahmad, Munir Abbas, Tahir Ateeq, Karamath College of Arts & Science Applied Science University P.O.Box 5055 Manama Bahrain Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Bangi Selangor Malaysia Lahore Pakistan College of Engineering Applied Science University Bahrain College of Informatics Korea University Seoul02841 Korea Republic of TIMES Institute Department of Computer Science Multan Pakistan School of Computing Skyline University College University City Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9798331539733

efficient management and cost-related factors in the power sector call for accurate short-term load forecasting as it enables better planning with the electric grid and achieving stability within it. This paper looks into the state-of-the-art forecasting strategies that enhance load forecasts made in shorter time frames. Such techniques include but are not limited to machine learning applications, effective data models, and multi-dimensional modeling leveraging historical, meteorological, and economic data. Their review is carried out in detail with their advantages and disadvantages and their application in practice. Furthermore, this study strives to understand the barriers that need to be overcome in the quest to increase the accuracy of the forecasting models especially concerning renewable energy sources. We illustrate how new trends relate to future developments of predictive models about supporting the decision-making in operating power systems and improving the reliability and sustainability of energy systems. © 2024 ieee.

关键词： Prediction models

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A Heuristic-based Dynamic Scheduling and Routing Method for Industrial TSN Networks 10

A Heuristic-based Dynamic Scheduling and Routing Method for ...

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10th ieee international conference on Cyber Security and Cloud computing and 9th ieee international conference on edge computing and Scalable Cloud, CSCloud-edgeCom 2023

作者： Chen, Honglong Liu, Mindong Huang, Jing Zheng, Zhiling Huang, Weihong Xiao, Yufeng Hunan University of Science and Technology Hunan Key Laboratory for Service Computing and Novel Software Technology School of Computer Science and Engineering Xiangtan411201 China Hunan Industry Polytechnic Information Center Changsha410125 China

ISBN: (纸本)9798350312461

In the industrial environment, machines often need to reflect the anomaly detection results to the total control center in time, and the general industrial network can not achieve high real-time. In order to solve such challenges, a set of protocol standards developed by ieee802.1 working group, namely Time-sensitive Networking (TSN), has been introduced into industrial networks. TSN can provide high real-time and reliability for data transmission, where the reliability is achieved by Frame duplication and Frame elimination (FReR). In the realization process of FReR, it is necessary to determine the source node, destination node, and multiple disjoint paths to transmit redundant data. However, the transmission of these redundant traffic may result in the delay of other flows, and then affects the user experience. Therefore, it is very important to choose excellent redundant traffic paths to ensure reliability and reduce the impact on other flows. In the existing research, there are many dynamic scheduling and routing heuristics to determine the path, but they do not consider the influence of the location of the source node on the whole route scheduling. This paper proposes an improved dynamic scheduling and routing heuristic method, which takes the source node into account in the routing selection. In the flow test experiments of different magnitudes, it is found that the total delay of all flows is reduced by 1.4%-4.5% under the same magnitude of schedulability compared with Ant Colony Optimization. © 2023 ieee.

关键词： Heuristic algorithms

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Comprehensive defense scheme against container escape related to container management procedure 12

Comprehensive defense scheme against container escape relate...

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12th international conference on Cyber-enabled Distributed computing and Knowledge Discovery (CyberC)

作者： Guo, Zhimin Lv, Zhuo Li, Nuannuan Yuan, Tao Gao, Xue Yuan, Zekun State grid henan Elect power Res Inst Zhengzhou Peoples R China State Grid Urumqi Power Co Urumqi Peoples R China North China Elect Power Univ Sch control & Comp Engn Beijing Peoples R China

ISBN: (纸本)9798350331547

Container technology has become a widely used virtualization technology in cloud platform because of its lightweight virtualization characteristics. However, compared with traditional virtual machine technology, the security and isolation of the container are poor and it may lead to container escape, because container technology shares the kernel with the host. This attack will pose a serious threat to the host and other containers on the same host. We studied the container escape attack caused by container management vulnerabilities, and propose a comprehensive container security protection scheme by using AppArmor and Seccomp. Through the simulation of vulnerability environment, the structure proves that the scheme is indeed effective.

关键词： container escape security hardening container security

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GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network

GHVC-Net: Hypervolume Contribution Approximation Based on Gr...

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2024 ieee international conference on Systems, Man, and Cybernetics, SMC 2024

作者： Wu, Guotong Nan, Yang Shang, Ke Ishibuchi, Hisao Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen518060 China Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen518055 China

ISBN: (纸本)9781665410205

This paper proposes a framework called GHVC-Net that uses the graph neural network (GNN) model to approximate each solution's hypervolume contribution (HVC). GHVC-Net is permutation invariant and can handle solution sets of arbitrary size, similar to the properties of GNN. Compared to HVC-Net (i.e., a machine learning model for HVC approximation), GHVC-Net achieves better accuracy with less training time. GHVC-Net is also compared with traditional approximation methods, such as line-based and point-based methods, to demonstrate its ability to identify the solution with the smallest (largest) HVC. © 2024 ieee.

关键词： Neural network models

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Finite-Time Robust Controller Using Sliding Mode Approach for grid-Connected Inverters

Finite-Time Robust Controller Using Sliding Mode Approach fo...

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2023 ieee international conference on energy Technologies for Future grids, eTFG 2023

作者： Hosseinabadi, Pooyan Alinaghi Mekhilef, Saad Pota, Hemanshu Kermadi, Mostefa University of New South Wales School of Engineering and Information Technology Australia Swinburne University of Technology School of Science Computing and Engineering Technologies Australia University of Malaya Power Electronics and Renewable Energy Research Laboratory Malaysia

ISBN: (纸本)9781665471640

This article suggests and experimentally implements a new finite-time robust current controller for grid-connected three-phase two-level inverters through an RL filter under unknown parameter variations. New advanced types of nonlinear sliding mode control laws are defined to ensure the strong robustness of the closed-loop system under the proposed controller against the variations of the filter parameters. Chattering elimination is addressed in the proposed sliding mode control laws. The finite-time stability notion is considered in the proposed approach to guarantee stability within finite settling time. The stability proof of the closed-loop system is presented utilizing the Lyapunov theory. The effectiveness of the suggested approach in fast and robust dynamic responses and alleviation of the chattering compared with the conventional sliding mode controller is demonstrated using simulation and experimental results. © 2023 ieee.

关键词： finite-time stability grid-connected inverters robust control sliding mode

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A Distributed Asset Trading Mechanism Based on Automated Negotiation

A Distributed Asset Trading Mechanism Based on Automated Neg...

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2023 ieee international conference on Metaverse computing, Networking and Applications, MetaCom 2023

作者： Zeng, Jiahao Zang, Xiuhuan Liu, Chang Chen, Zhiyi Guo, Shaoyong Qi, Feng Pan, Jianhong Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing China State Grid Economic and Technological Research Institute Co. Ltd Engineering Data Center Beijing China State Grid Jilin Electric Power Co. Ltd Digital Department Changchun China

ISBN: (纸本)9798350333336

Asset digitization is an important part of digital society. However, there are many problems in existing centralized asset trading platforms, for example, the platform has the dominant power in the transaction process and holds a large amount of user data, which is detrimental to users' interests. To solve these problems, we propose a distributed asset trading mechanism based on automated negotiation. Firstly, we propose a distributed asset trading framework based on the consortium blockchain, which provides trust guarantees for trading through the access control of the consortium blockchain, represents the ownership of assets through non-fungible tokens (NFT), and reduces the blockchain burden by moving the negotiation process off the blockchain through the state channel technology. Then, to reduce the negotiation cost and improve the negotiation results, we propose a bilateral automated multi-issue negotiation model for asset trading. The experimental results show that the negotiation model performs well in terms of success rate and negotiation time, and can achieve win-win agreements. © 2023 ieee.

关键词： Multi agent systems

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