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Review on Power grid Fault Prediction and Location Technologies

Review on Power Grid Fault Prediction and Location Technolog...

引用

Cognitive computing and Complex Data (ICCD), international conference on the

作者： Fang Liu Ningyang Ji Meng Sun Zeyu Zhu School of Management Yangzhou Polytechic College Yangzhou China School of Economics and Trade Yangzhou Polytechic College Yangzhou China Guangling College Yangzhou University Yangzhou China

ISBN: (数字)9798350352894

ISBN: (纸本)9798350352900

Power grid faults are a major factor affecting the reliability and safety of power grids. Therefore, accurately predicting and locating these faults is essential for enhancing operational efficiency and ensuring the stability of power supply. This paper reviews the current research advancements and technical applications in the field of power grid fault prediction and location. It begins by examining existing methods and perspectives on fault prediction, followed by an in-depth exploration of recent developments and practical applications in fault location. We analyze the strengths and challenges of various models in data collection, feature extraction, fault classification, and diagnosis, and discuss potential future research directions. This review aims to provide a comprehensive reference for power system engineers and researchers, aiding them in understanding the latest fault prediction technologies to better manage and maintain the stable operation of power networks.

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Comparative Analysis of Various Techniques used for Selfish Node Detection in DTN 7

Comparative Analysis of Various Techniques used for Selfish ...

引用

7th international conference on Parallel, Distributed and grid computing, PDGC 2022

作者： Sharma, Rakhi Dinkar, Shail Kumar Veer Madho Singh Bhandari Uttarakhand Technical University Uttarkhand Dehradun India Govind Ballabh Pant Institute of Engineering and Technology Department of Computer Science and Applications Uttarakhand Garhwal India

ISBN: (纸本)9781665454018

Delay Tolerant Network is a network which is wireless and which has no infrastructure. It is designed in a way that it can operate effectively even in extreme diverse conditions and can cover large distances, as in the case of space communications when there is not a single direct pathway between source and destination. Messages are delivered based on store, carry and forward Policy. Data is transmitted in DTN through the number of intermediate nodes but some of them are malicious that are called selfish nodes. A selfish node can be described as a node which do not responds to any of the received messages in order to save its energy. There are many terms coined for this such as selfish node attack, byzantine attack, black hole attack and denial of service attack. An analysis of the techniques proposed to detect selfish behavior in DTN in the perspective of simulation tools used has been presented in this paper. © 2022 IEEE.

关键词： Delay tolerant networks

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Multiobjective African Vulture Scheduling Algorithm in Green Mobile Edge computing 14

Multiobjective African Vulture Scheduling Algorithm in Green...

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14th IEEE international conference on Software Engineering and Service Science, ICSESS 2023

作者： Zhong, Zhijiang Zhu, Qinghua School of Computer Science and Technology Guangdong University of Technology Guang Dong Province Guangzhou China

ISBN: (纸本)9798350336269

With the proliferation of versatile mobile applications, offloading compute-intensive tasks to the mobile edge cloud (MEC) becomes a dramatic technique. With the introduction of energy harvesting (EH) technology, hybrid energy supply has been considered an effective way to save on-grid energy (brown energy). However, most current work on their offloading schemes does not consider both the task dependencies and the hybrid energy supply. In this paper, we proposed a novel model that is able to use EH technique to reduce brown energy while equipping energy storage to maintain stable system performance. We then investigate the dependent task scheduling problem in this model and formulate it as a multiobjective task scheduling problem. Later, an improved multiobjective African vulture optimization algorithm (IMOAVOA) is proposed to solve this problem with the goal of minimizing the brown energy consumption and execution latency of the application. Simulation results demonstrate that IMOAVOA outperforms the other three benchmark algorithms, which can obtain better Pareto fronts and provide optimal task scheduling policy for this system. © 2023 IEEE.

关键词： Multiobjective optimization

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Research on the Security of Power Cyber-Physical System Considering Communication Network Failure 8

Research on the Security of Power Cyber-Physical System Cons...

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8th international conference on Power and Renewable Energy, ICPRE 2023

作者： Yutian, Zhou Xin, Li Mingxin, Li Weiping, Song Tao, Sui Xuanfei, Mao Dandong Power Supply Company State Grid Liaoning Electric Power Co. Ltd Dandong China

ISBN: (纸本)9798350328813

Advanced sensing technology and information communication technology make the interaction between information layer and physical layer in power system more and more complex. It also creates the conditions for the propagation of the fault, this paper presents an approach to evaluate the safety of the power cyber-physical system, which takes into account the failure of the communication network. Firstly, in order to quickly judge the direction of fault propagation, based on the power cyber-physical system model, the dynamic partition model of power cyber-physical system based on improved genetic algorithm is studied. Then, we study the cascade failure process among the regions, and the system stability state is used as the criterion to determine the fault propagation cut-off boundary. Finally, the security evaluation index system of power cyber-physical system is proposed to evaluate the security under fault cascading propagation. The effectiveness of this model is proved by a numerical example. © 2023 IEEE.

关键词： coupled networks cyber-physical systems intelligent computing

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Analysis and Research of Industry Load Forecasting Based on Power Big Data Technology

Analysis and Research of Industry Load Forecasting Based on ...

引用

Optimization computing and Wireless Communication (ICOCWC), international conference on

作者： Jun Yang Wu Wang Wei Zhang China Southern Power Grid Digital Power Grid Research Institute Co. Ltd Guangzhou Guangdong China

In industrial production, accurate load forecasting is of great significance for improving production efficiency, reducing energy consumption, and ensuring stable operation of production lines. With the development of big data and artificial intelligence technology, industrial load forecasting methods have been continuously optimized, and forecasting accuracy has been gradually improved. This paper will introduce the methods and applications of industrial load forecasting in detail. Industrial load forecasting calculation is an important link in power system and industrial production, which involves the forecasting of future industrial power demand and the rational planning of energy supply. Accurate industrial load forecasting plays an important role in ensuring the stable operation of power system, reducing energy consumption and improving production efficiency

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A Continuous-Time Sigma-Delta Modulator with Compensating Transconductance Stages and RZ FIR-DAC 2

A Continuous-Time Sigma-Delta Modulator with Compensating Tr...

引用

2nd IEEE international conference on Power, Electronics and Computer applications, ICPECA 2022

作者： Xu, Changbao Yuan, Jiantao Liu, Zhili Xin, Mingyong Chen, Junjian Zheng, Dandan Yao, Hao Huang, Kai Electric Power Research Institute of Guizhou Power Grid Co Ltd Guiyang China Zhejiang University College of Information Science and Electronic Engineering Hangzhou China Hangzhou Sec-Chip Technology Co Ltd Hangzhou China Digital Grid Research Institute CSG Guangzhou China Zhejiang University School of Micro-Nano Electronics Hangzhou China

ISBN: (纸本)9781665442763

This paper introduces an energy-efficient continuous-time sigma-delta modulator (CTSDM) that adopts transconductance stages compensating for the low frequency gain of the integrator, which injects an opposite signal into the input of the integrator to compensate for the degradation of performance and phase response caused by limited DC gain, and further reduces the requirement of each integrator to realize a low-power design. In addition, the association between return-to-zero (RZ) pulse and finite-impulse-response (FIR) digital-to-analog converter (DAC) in the feedback path of the modulator can reduce the influence of clock jitter and inter-symbol interference (ISI) on the signal-to-noise-and-distortion ratio (SNDR) and the linearity of the system. The implementation and experimental results show that the CTSDM achieves 98.7 dB SNDR in a 24 kHz bandwidth (BW), and dissipates 144.4$\mu$W under 1.2V power supply, this corresponds to a figure-of-merit (FoM) of 180.9 dB, this work is applied to codec applications in edge computing. © 2022 IEEE.

关键词： Modulators

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A Reinforcement Learning-driven Iterated Greedy Algorithm for Traveling Salesman Problem 26

A Reinforcement Learning-driven Iterated Greedy Algorithm fo...

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26th international conference on Computer Supported Cooperative Work in Design, CSCWD 2023

作者： Song, Xi Li, Mingyang Xie, Weidong Mao, Yuanyuan State Grid Gansu Electric Power Company Lanzhou China

ISBN: (纸本)9798350331684

This paper investigates a traveling salesman problem (TSP), which has important applications in real-world scenarios. A reinforcement learning-driven iterated greedy algorithm (RLIGA) is presented to address the TSP. A population initialization method based on the famous FRB2 heuristic is proposed to generate an initial population with high quality. To enhance the effectiveness of the RLIGA, the local search method and the destruction-construction mechanisms are designed for the city sequence. A generation method of sub-population based on current population sequence information is proposed to generate sub-population. An acceptance criterion is proposed to determine whether the offspring are adopted into the population. A re-destruction and re-construction method is proposed to avoid the proposed algorithm falling into local optimum. Lastly, the RLIGA is tested on the TSPLIB benchmark instances. The experimental results show that RLIGA is an effective algorithm to address the problem. © 2023 IEEE.

关键词： Reinforcement learning

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Five-layer IoT and Fog computing Framework Towards Digital Twinning of Battery Management Systems for e-Transportation

Five-layer IoT and Fog Computing Framework Towards Digital T...

引用

Workshop on Smart grid and Renewable Energy (SGRE)

作者： Dominic Karnehm Akash Samanta Antje Neve Sheldon Williamson Institute of Intelligent Distributed Systems University of the Bundeswehr Munich Neubiberg Germany Electrical Computer and Software Engineering Ontario Tech University Oshawa Canada

It is needless to mention that the proven capability of cloud computing and digital twin-based monitoring and control systems will play a major role in the implementation of digital twin-based lithium-ion battery management systems (BMS) for e-transportation. In this context, the combination of the Internet of Things (IoT) and fog computing emerges as an enabling technology that facilitates bidirectional data communication and processing. This paper proposes a five-layer IoT framework for the implementation of cloud-based battery monitoring and BMS. Additionally, it critically analyzes the existing IoT frameworks applied to BMS and justifies the suitability of the five-layer architecture. Furthermore, the advantages of fog computing, such as low latency, fault tolerance, limitless systems, multiple applications, and shared responsibility, are discussed. The paper also explores four previously proposed computing-enabled architectures: centralized, hybrid, distributed, and hybrid-distributed computing. Moreover, the potential of utilizing hybrid computing architectures, incorporating fog computing as a supplement to cloud computing, is highlighted to address fault, privacy, or latency issues in cloud-based BMS.

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Research and Application of Edge computing and Power Data Interaction Mechanism Based on Cloud-Edge Collaboration 2nd

Research and Application of Edge Computing and Power Data In...

引用

2nd international conference on Advanced Intelligent Technologies (ICAIT)

作者： Tian, Bing Huang, Zhen Han, Shengya Yin, Qilin Dong, Qingquan Shandong Elect Power Co Ltd Informat & Commun Branch State Grid Jinan Shandong Peoples R China NARI Grp Corp Informat Syst Integrat Co Nanjing Jiangsu Peoples R China

ISBN: (纸本)9789811697357;9789811697340

At present, the development of science and technology breeds applications in all walks of life, the need to gather edge information collection, data processing, instruction execution and other functions have become more and more intense. The data interaction between cloud center and edge has become a problem. Based on the actual needs of electricity usage, this paper proposes a cloud-side collaboration based power data interaction mechanism based on the study of edge computing, and discusses the management plan of data storage, calculation, and circulation under the environment of the power Internet of Things and cloud platform, so as to realize power The real-time computing and control capabilities of the edge business of the Internet of Things support the company's digital business development.

关键词： Cloud-side collaboration Data interaction Data management Edge computing

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Distributed computing of R applications Using RBOINC Package with applications to Parallel Discrete Event Simulation 24th

Distributed Computing of R Applications Using RBOINC Packag...

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24th international conference on Distributed Computer and Communication Networks, DCCN 2021

作者： Astafiev, S.N. Rumyantsev, A.S. Petrozavodsk State University 33 Lenina Street Petrozavodsk Russia Institute of Applied Mathematical Research Karelian Research Centre of Russian Academy of Sciences 11 Pushkinskaya Street Petrozavodsk Russia

ISBN: (纸本)9783030971090

R programming language is commonly used for statistical computing, data science and stochastic simulation. Existing packages for R allow to run parallel code on various parallel architectures, however, the support for distributed (volunteer) computing is rather weak. This article describes a new R package RBOINC that allows to run parallel code on desktop grid systems via the BOINC open source system for grid computing, which is a promising approach for parallel stochastic simulation. Among the possible ways to utilize the new package, an approach to parallel regenerative stochastic simulation within the generalized semi-Markov processes framework is suggested. © 2022, Springer Nature Switzerland AG.

关键词： Stochastic systems

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