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Calculation of Maximum distributed Photovoltaic Access Capacity Considering Protection Operation Characteristics 6

Calculation of Maximum Distributed Photovoltaic Access Capac...

引用

6th international conference on Power and Renewable Energy, ICPRE 2021

作者： Huang, Zhenyu Zhu, Yifan Sun, Tianjia Liu, Haiyang Chao, Chenxu Zheng, Xiaodong State Grid Shanghai Municipal Electric Power Company Shanghai China Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781665449618

the access of distributed photovoltaics (PVs) to the distribution network affects the original current quick-break protection, resulting in the change of protection range and an increase in the risk of protection malfunction. this study analyzes the influence of the current increase caused by distributed PVs on the current quick-break protection of the distribution network, takes into account the different power factors of distributed PVs during the fault, and propose a calculation method for the maximum access capacity of distributed PVs on the premise that distributed PV access does not cause the malfunction of downstream current quick-break protection. the test results confirm the effectiveness of the proposed method for calculating the maximum access capacity of distributed PVs, which can prevent the malfunction of current quick-break protection caused by distributed PV access to the distribution network. © 2021 ieee.

关键词： Photovoltaic systems Reactive power Renewable energy sources Simulation Short-circuit currents Distribution networks Switches

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An novel integrated optimization approach for reconfiguring distribution network with distributed generation

An novel integrated optimization approach for reconfiguring ...

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China international Electrical and Energy conference (CIEEC)

作者： Chunyan Bai Fei Wang School of Electrical Engineering and Automation Jiangsu Normal University Xuzhou China

this paper presents a modified immune particle swarm optimization (MIPSO) algorithm and a new voltage stability difference index (VSDI) to solve distribution network reconfiguration (DNR) and distributed generation (DG) allocation problems, whose objectives are to reduce total real power loss, enhance the voltage stability and improve the voltage profile of a distribution system. the VSDI is put forward to determine the most sensitive buses to voltage collapse as candidate installation buses of DG allocation. the proposed MIPSO algorithm and VSDI are applied to ieee 33- and 69-bus distribution systems considering eight different scenarios, and the obtained results demonstrate the effectiveness of the proposed MIPSO algorithm and VSDI on solving DNR and DG allocation problems of the distribution system.

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Challenges and Opportunities of DevOps in Cyber-Physical Production systems Engineering

Challenges and Opportunities of DevOps in Cyber-Physical Pro...

引用

Industrial Cyber-Physical systems (ICPS)

作者： István Koren Felix Rinker Kristof Meixner Jasminka Matevska Jörg Walter Chair of Process and Data Science RWTH Aachen University Aachen Germany Christian Doppler Laboratory SQI Institute of Information Systems Engineering TU Wien Vienna Austria School of Electrical Engineering and Computer Science City University of Applied Sciences Bremen Germany Distributed Computing and Communication OFFIS - Institute for Information Technology Oldenburg Germany

DevOps is a set of practices that combines software development and operations to enable a continuous software product life cycle to improve the quality of software systems. Although DevOps is considered successful for typical software systems, it has not yet been widelyadopted in the area of - Physlcal Production systems (CPPSs) that integrate physical components with computer-based control and communication systems. Related to industrial settings, many new challenges arise, like long-term investments, missing flexibility in asset-heavy production environments, and the inherent physicality of hardware. this paper examines the use of the DevOps methodology in the manufacturing domain. It identifies and discusses the unique challenges and describes first solution proposals to overcome those challenges, based on literature and experiences from the industry. the article provides useful guidance to researchers and practitioners on potential pitfalls and exciting opportunities.

关键词： Production systems Data collection Software systems Hardware Safety Stakeholders Security

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Research and Implementation of Parallel CART Algorithm Based on distributed Database

Research and Implementation of Parallel CART Algorithm Based...

引用

international conference on Information systems and Computer Aided Education (ICISCAE)

作者： Jie Wang School of Artificial Intelligence The Open University of Guangdong Guangzhou China

this paper presents a parallel CART method for multivariate association query. the amount of communication information is reduced by performing two semi-joins. this method adopts a multi-node parallel method, which greatly speeds up the execution efficiency of the system. the sequence of operations generated by this algorithm has global optimization characteristics. One of its important development trends is to realize effective data query by optimizing the database. the simulation experiment proves that the method has fast processing speed, high node utilization rate and strong practicability. this method is suitable for large data processing.

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Adaptive Dynamic Adversarial Training with Real-Time Feedback in 6G

Adaptive Dynamic Adversarial Training with Real-Time Feedbac...

引用

international conference on distributed computing in sensor systems (DCOSS)

作者： Ahmed Hakami Niki Pissinou Mohammed Rajhi School of Computing and Information Sciences Florida International University Miami FL USA Faculty of Computer Science & Information Technology Jazan University Jazan Saudi Arabia

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

the emergence of 6G communications brings forth both unprecedented opportunities and security challenges. this work introduces a novel method, dynamic adversarial training incorporating real-time feedback (DAT-RTF), to bolster the resilience of machine learning models in 6G mmWave beamforming prediction against adversarial attacks. By enabling models to adapt to new threats, DAT-RTF maintains their robustness. this dynamic approach, leveraging continuous feedback from the network, adjusts and refines defense mechanisms to remain effective against a range of adversarial strategies. We tackle the issues of resource demand and overfitting, offering strategies to enhance performance without sacrificing security. Our method represents a significant advancement in protecting 6G networks from evolving adversarial threats.

关键词： 6G mobile communication Training Adaptation models Array signal processing Machine learning Predictive models Real-time systems

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Edge-Assisted Relevance-Aware Perception Dissemination in Vehicular Networks

Edge-Assisted Relevance-Aware Perception Dissemination in Ve...

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international conference on distributed computing systems

作者： Ruiqi Wang Guohong Cao Department of Computer Science and Engineering Pennsylvania State University

ISBN: (数字)9798350386059

ISBN: (纸本)9798350386066

Vehicles are equipped with various sensors such as LiDAR, which enable them to perceive the surrounding environment and enhance driver safety through advanced driver assistance systems. However, these sensors are limited by line-of-sight, preventing them from seeing beyond occlusions. One solution is to leverage the edge server which can collect and share perception data with other vehicles. Most existing research focuses on improve the performance of uploading perception data to the server, and the problem of perception dissemination remains largely unexplored, despite the challenges posed by the large volume of perception data and the limited wireless bandwidth. In this paper, we propose an edge-assisted relevance-aware perception dissemination system that collects perception data from multiple vehicles and selectively disseminates only the necessary data to appropriate vehicles. the necessity of dissem-ination is determined by evaluating the relevance of perception data, which quantifies the probability of potential collisions between corresponding objects. We then formulate and solve the relevance-aware perception dissemination problem whose goal is to maximize the relevance of disseminated data under bandwidth constraints. Extensive evaluation results demonstrate that our system can significantly enhance traffic safety while reducing the overall bandwidth consumption.

关键词： Wireless communication Wireless sensor networks Pedestrians Line-of-sight propagation Bandwidth sensor systems Safety

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Accelerating distributed Model Training through Intelligent Node Selection and Data Allocation Strategies in 6G network

Accelerating Distributed Model Training through Intelligent ...

引用

ieee international conference on Communications Workshops, ICC

作者： Kaice Gao Yuhao Chai Yixuan Li Zhenyu Zhang Lu Lu Qin Li Yong Zhang School of Electronic Engineering Beijing University of Posts and Telecommunications (BUPT) Beijing China Department of Basic Network Technology Research China Mobile Research Institute Beijing China Beijing Key Laboratory of Work Safety Intelligent Monitoring BUPT Beijing China

ISBN: (数字)9798350304053

ISBN: (纸本)9798350304060

Supporting artificial intelligence (AI) models training is one of the visions for future 6th generation (6G) networks. An extensive quantum of data and computational capabilities are necessitated for the training of AI models. However, with the development of AI models, it is evident that the existing edge computing network architectures are inadequate to meet the massive computing power and communication demands of distributed training for models with a growing number of parameters. In this paper, we propose a distributed training framework based on the edge-network-cloud architecture. Considering the architecture of the network and the computing capabilities of network nodes, the framework actively adapts the functional partitioning and allocation of data of the network nodes during the process of distributed training. Specifically, aggregation nodes are responsible for parameter aggregation and updating, while training nodes execute training tasks and transmit model gradients to the aggregation nodes asynchronously. To improve training efficiency and reduce communication time, we introduce a solution based on Deep Reinforcement Learning (DRL). the algorithm intelligently allocates suitable data to nodes and selects node types by task-related information, thus accelerating distributed training across network nodes. Experimental results demonstrate that the proposed algorithm effectively accelerates large-scale model training tasks.

关键词： Training 6G mobile communication Computational modeling conferences distributed databases Computer architecture Data models

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2022 ieee international Symposium on Measurements and Networking, M and N 2022 - Proceedings

2022 IEEE International Symposium on Measurements and Networ...

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6th ieee international Symposium on Measurements and Networking, M and N 2022

ISBN: (纸本)9781665483629

the proceedings contain 52 papers. the topics discussed include: on the utilization of equivalent sampling in undersampled asynchronous camera communication protocols;using a soft growing robot as a sensor delivery system in remote environments: a practical case study;autoencoder for network anomaly detection;some notes on the impact of the use of dynamic spectrum sharing (DSS) on maximum-power extrapolation techniques for human exposure assessment to electromagnetic fields;networks of emf area monitor for distributed human exposure monitoring: assessment of performances in simulated realistic scenarios;acoustic monitoring of environmental noise based on sampling approach;impedance adaptation technique to improve pipeline communication distance;reinforcement learning applied to network synchronization systems;experimental analysis of 5g pilot signals' variability in urban scenarios;performance comparison in ultra-wide band positioning in sensor networks: least square minimization versus grid search approach;on secure communications for FSO systems over generalized turbulence channels;on the use of machine learning approaches for the early classification in network intrusion detection;a measurement of real-world attack connections toward honeypots;image scaling effects on deep learning based applications;and a low power system for synchronizing buffered air quality data.

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A Method for Tracing the Partial Discharge of Switchgear Based on distributed Transient Earth Voltage Measurement

A Method for Tracing the Partial Discharge of Switchgear Bas...

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China international Electrical and Energy conference (CIEEC)

作者： Hongyuan Zhang Ming Ren Haobin Guan Ming Dong School of Electrical Engineering Xi'an Jiaotong University Xi'an China

Transient earth voltage (TEV) detection is one of the common methods for detecting partial discharge of switchgear. However, due to the layout of grounding system and other reasons, TEV signal has interference frequently between equipment, which brings difficulties to the location of the discharge. For this problem, this paper created the electromagnetic simulation model of switchgear and the abreast switchgear of the substation. Explored the best measurement position of the TEV signal of the single switchgear, as well as the discharge location method when abreast switchgear share the earthing system. the results show that it is the best to take the measurement at the lower center of the front of the switchgear. For abreast switchgear, the TEV amplitude for the same discharge pulse of each switchgear decreases significantly with the increase of its distance from the discharge source. therefore, it is advised to build a distributed sensor network to locate the discharge source. Carrying out actual measurement in a substation, the location method based on distributed transient earth voltage shows high efficiency, providing reference for the application of TEV measurement.

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An Event-Driven Spectrum-Aware Routing Protocol in Cognitive Radio sensor Networks Using Fuzzy Logic 6

An Event-Driven Spectrum-Aware Routing Protocol in Cognitive...

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6th ieee international conference on Computer and Communication systems, ICCCS 2021

作者： Tan, Long Li, Debao Heilongjiang University Department of Computer Science and Technology Harbin China

ISBN: (纸本)9780738126043

An event-driven spectrum sensing routing algorithm based on fuzzy logic (FLSAC) is proposed to make better use of spectrum resources and reduce the energy consumption of cognitive radio sensor networks (CRSN). the algorithm aggregates nodes with more common channels into clusters in a self-organizing way. Using fuzzy logic, cluster heads are determined according to node residual energy, node neighborhood degree, and node relay degree, which reduces the overhead of cluster head selection and balances the energy consumption between cluster heads. Cluster heads and gateway nodes use multi-hop routing to improve inter-cluster connectivity. Simulation results show that in multi-round event-driven CRSN, FLSAC algorithm outperforms LEUACH and CogLEACH algorithms in energy consumption, network load balancing and, packet transmission rate. © 2021 ieee.

关键词： Energy utilization

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