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检索条件"任意字段=International Conference on Parallel Distributed and Grid Computing"

共 34256 条记录，以下是571-580 订阅

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Fault Section Localization in Distribution System Based on IMA-IWOA Algorithm 6

Fault Section Localization in Distribution System Based on I...

引用

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

作者： Zhao, Yong Wu, Junyue Li, Haobin Liu, Hua Chen, Zhiwer Zhang, Juncheng Dongfang Electronics Cooperation Yantai264010 China Electric Power Dispatching and Control Center Guangdong Power Grid Co.Ltd Guangdong Guangzhou510000 China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374315

Distribution system fault location is a crucial factor to ensure the reliability and self-healing of power supplies. Aiming at the problems of poor location accuracy and low efficiency of the existing fault zone location methods for distribution networks with distributed power supply, a fault zone location method for distribution networks with distributed power supply is proposed by combining the improved matrix algorithm and the improved whale optimization algorithm. When the uploaded fault information is distorted, the improved matrix algorithm is used to find the suspicious segments, and the improved whale optimization algorithm is used to locate the fault segments. When the uploaded fault information is completely correct, the improved matrix algorithm is used to locate the fault zone directly. The feasibility of the proposed method is confirmed by experimentally analyzing single-point faults and multi-point faults. The results reveal that the proposed method has better accuracy and rapidity in fault area localization compared with conventional fault localization methods, with a localization accuracy rate above 99.00% and an average localization time of 0.55s, which has a certain application value. © 2024 IEEE.

关键词： Power distribution faults

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Exploring Mapping Strategies for Co-allocated HPC Applications

Exploring Mapping Strategies for Co-allocated HPC Applicatio...

引用

29th international conference on parallel and distributed computing (Euro-Par)

作者： Vardar, Ioannis Hunold, Sascha Swartvagher, Philippe Traff, Jesper Larsson TU Wien A-1040 Vienna Austria

ISBN: (纸本)9783031488023;9783031488030

In modern HPC systems with deep hierarchical architectures, large-scale applications often struggle to efficiently utilize the abundant cores due to the saturation of resources such as memory. Co-allocating multiple applications to share compute nodes can mitigate these issues and increase system throughput. However, co-allocation may harm the performance of individual applications due to resource contention. Past research suggests that topology-aware mappings can improve the performance of parallel applications that do not share resources. In this work, we implement application-oblivious, topology-aware process-to-core mappings via different core enumerations that support the co-allocation of parallel applications. We show that these mappings have a significant impact on the available memory bandwidth. We explore how these process-to-core mappings can affect the individual application duration as well as the makespan of job schedules when they are combined with co-allocation. Our main objective is to assess whether co-allocation with a topology-aware mapping can be a viable alternative to the exclusive node allocation policies that are currently common in HPC clusters.

关键词： High Performance computing parallel computing Performance Optimization Process Mapping Co-allocation

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Enhancing Data Consistency in Distribution Networks Leveraging Graph Contrastive Representation Learning 6

Enhancing Data Consistency in Distribution Networks Leveragi...

引用

6th international conference on Power and Energy Technology, ICPET 2024

作者： Liu, Siyan Shi, Danni Tang, Zhuang State Grid Laboratory of Grid Advanced Computing and Applications State Grid Smart Grid Research Institute Co.Ltd. Beijing China

ISBN: (纸本)9798350375855

The rapid integration of distributed renewable energy sources and the diversification of loads have precipitated profound changes in the configuration and operation of power distribution networks in the 21st century, underscoring the necessity for accurate and standardized power grid topology model data. This manuscript introduces a novel graph contrastive learning-based approach for the representation of node features in distribution networks, specifically targeting the alignment of identical nodes across different Common Information Model (CIM) documents. By combining self-supervised learning with graph neural networks, a feature extraction framework that integrates topological structural features and attribute features of the distribution network is proposed in the paper. Besides, the study designs a graph view generation strategy considering distribution network characteristics. The proposed method is validated by an 11-feeder distribution network dataset, and the results show the effectivity of the graph contrastive learning. © 2024 IEEE.

关键词： Contrastive Learning

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SeqDLM: A Sequencer-Based distributed Lock Manager for Efficient Shared File Access in a parallel File System

SeqDLM: A Sequencer-Based Distributed Lock Manager for Effic...

引用

international conference for High Performance computing, Networking, Storage and Analysis (HPC)

作者： Chen, Qi Ma, Shaonan Chen, Kang Ma, Teng Liu, Xin Chen, Dexun Wu, Yongwei Chen, Zuoning Tsinghua Univ Beijing Peoples R China Alibaba Inc Hangzhou Peoples R China Natl Supercomp Ctr Wuxi Wuxi Peoples R China Chinese Acad Engn Beijing Peoples R China

ISBN: (纸本)9781665454445

distributed locks are used to guarantee the distributed client-cache coherence in parallel file systems. However, they lead to poor performance in the case of parallel writes under high-contention workloads. We analyze the distributed lock manager and find out that lock conflict resolution is the root cause of the poor performance, which involves frequent lock revocations and slow data flushing from client caches to data servers. We design a distributed lock manager named SeqDLM by exploiting the sequencer mechanism. SeqDLM mitigates the lock conflict resolution overhead using early grant and early revocation while keeping the same semantics as traditional distributed locks. To evaluate SeqDLM, we have implemented a parallel file system called ccPFS using both SeqDLM and traditional distributed locks. Evaluations on 96 nodes show SeqDLM outperforms the traditional distributed locks by up to 10.3x for high-contention parallel writes on a shared file with multiple stripes.

关键词： high performance computing file systems cache coherence distributed lock sequencer

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parallel Chaos Hash based LSB Steganography Technique using Logistic Map 7

Parallel Chaos Hash based LSB Steganography Technique using ...

引用

7th international conference on parallel, distributed and grid computing, PDGC 2022

作者： Gambhir, Gaurav Mandal, Jyotsna Kumar Gambhir, Monika Panipat Institute of Engineering and Technology Department of Computer Science and Engineering Haryana Panipat India University of Kalyani Department of Computer Science and Engineering West Bengal Kalyani India Panipat Institute of Engineering and Technology Department of Electronics and Communictionn Engineering Haryana Panipat India

ISBN: (纸本)9781665454018

This paper deals with hash based secure chaotic steganography technique for hiding secret information, into the cover image. Hash function has been used in the proposed work for computing the Non LSB positions for hiding the secret data bits. Secret is encoded with chaotic sequences and randomness of the sequences has been validated with NIST test suite. Shared memory implementation for faster execution of the proposed security technique has been done in OpenMP platform. Sequential and the parallel versions of the techniques have been implemented in C++, OpenMP and simulated in the Intel Haswell processor based multi-core environment. With the advantages offered by multicore processors the proposed technique ensures low time complexity. Significant speedup and linear scalability have been reported with increase in the number of threads. Standard statistical validation test results viz. PSNR, Euclidean distance, histogram analysis, SSIM index applied to validate the quality of stego image show satisfactory results. © 2022 IEEE.

关键词： Steganography

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parallel-Connected Distribution Generation System Operating in Islanded Mode Using Improved Droop Control Technique

Parallel-Connected Distribution Generation System Operating ...

引用

2024 IEEE international conference on Signal Processing and Advance Research in computing, SPARC 2024

作者： Rai, Tanushree Tripathi, Anurag Verma, Anurag Institute of Engineering and Technology Department of Electrical Engineering Lucknow India

ISBN: (纸本)9798350385199

To maintain dependable and effective operation, especially in islanded microgrid situations, integrating distributed Generation (DG) units and renewable energy sources into electrical grids has required sophisticated control systems. In the present work a parallel connected DG integrates with solar PV, wind, and Ideal DC Voltage for an islanded microgrid with droop control technique has been proposed. This work used the improved droop control method for parallel-connected DG systems in islanded mode to ensure stable voltage and frequency of the system. The droop control technique, which has been around for a while in AC microgrid load sharing, has been improved to handle the issues of isolated network voltage and frequency stability. Droop coefficients are optimized as part of the proposed approach to improve dynamic responsiveness and reduce circulating currents between parallel inverters. The droop control technique controls voltage and frequency. A model of the proposed system has been modelled in MATLAB/ Simulink and results are verified under shifting load conditions and sources. © 2024 IEEE.

关键词： Frequency stability

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Equivalent Modeling of Active Distribution Networks Accounting for Uncertainty in Charging Behavior of Adjustable Loads 5

Equivalent Modeling of Active Distribution Networks Accounti...

引用

5th international conference on Clean Energy and Electric Power Engineering, ICCEPE 2024

作者： Guo, Wenxin Zhao, Ruifeng Lu, Jiangang Tan, Huijuan Wang, Chen Wu, Yuezhou Wang, Jingwen Su, Yingying Zheng, Jiehui Power Dispatching Control Center Guangdong Power Grid Co. Ltd. Guangdong Guangzhou510000 China School of Electric Power Engineering South China University of Technology Guangdong Guangzhou510000 China

ISBN: (纸本)9798350390315

The equivalent modeling problem of active distribution networks (ADN) has been one of the hot issues in power system-related research. When more and more distributed energy sources are connected to the grid, such problems become more complex. This kind of research is becoming 'extensive' and 'comprehensive'. Accurate equivalent modeling can better describe the operating state of ADN. In this paper, an equivalent modeling approach is represented for ADN that takes into account distributed energy sources and the charging of special loads. In the first stage, ZIP loads are connected in parallel with induction motors as the basic structure of the equivalence model of the ADN. In the second stage, the improved multi-objective DDQN (MODDQN) is used to solve the key parameters. Case studies show that this method is effective. © 2024 IEEE.

关键词： active distribution network equivalent modeling parameter identification reinforcement learning

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A Practical Method for Calculating Indirect Carbon Emissions of Electricity Users in Large Power grid 1

引用

international conference on Wireless Power Transfer (ICWPT)

作者： Zhang, Sirui Zhang, Jing Bu, Fanpeng Cheng, Ling Wang, Zhanbo Gao, Zihan State Grid China Elect Power Res Inst Beijing Peoples R China

ISBN: (数字)9789819708659

ISBN: (纸本)9789819708673;9789819708659;9789819708642

The accurate measurement methods for carbon emissions are critical in both incentivizing consumers towards energy conservation and emission reduction, as well as ensuring fairness in carbon emissions trading. The indirect carbon emissions are generated from user's electricity consumption. The existing indirect carbon emission calculation method assumes that the carbon emissions per unit of electricity are the same at any nodes and any time in the power grid. Carbon flow calculation method could bridge this gap, however, it still need improvement when applying to large power grid. This paper proposed a practical indirect carbon emission calculation method by parallel computing the divided power grid, thereby significantly reducing the computational pressure. Furthermore, an effective Thevenin equivalent fitting technique is adopted to lessen the computational complexity in the transmission network. By clustering typical scenarios, the annual equivalent carbon emission intensity can be calculated for any node in the power grid. These calculated carbon emission factor can serve as substitutions for the traditional carbon emission factors. The case study proves this method for carbon emission calculation manages to strike a balance between computational complexity and acknowledging the spatio-temporal characteristics in carbon emissions.

关键词： Carbon Emission Calculation Power Tracing Equivalent Circuit

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Cloud resource computing power allocation method based on distributed multi-layer deep learning 6

Cloud resource computing power allocation method based on di...

引用

6th international conference on Computer Information Science and Application Technology, CISAT 2023

作者： Zhang, Xiaodong Yang, Mingjie Guo, Rui Di, Lei Wang, Wei State Grid Gansu Electric Power Gansu Lanzhou730050 China

ISBN: (纸本)9781510668546

Conventional cloud resource computing power allocation methods mainly focus on cloud resource scheduling, and the effect of computing power balanced allocation is poor. Therefore, a cloud resource computing power allocation method based on distributed multi-layer deep learning is designed. Establish a balance point for computing power distribution of cloud resources, increase computing power input at edge nodes, reduce computing power of public nodes, and maintain the overall balance of computing power of cloud resources. Based on distributed multi-layer deep learning, a computing power distribution model of cloud resources is constructed, and computing power in cloud resources is used cooperatively to build a bridge between cloud resources and services. Set the cloud side collaborative computing allocation mechanism, reduce the cost of computing power allocation of cloud resources, and ensure that each allocation is reasonable. By means of comparative experiments, it is verified that the distribution effect of this method is better and can be applied in real life. © 2023 SPIE.

关键词： computing power

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Research on Real-Time Power Line Loss Detection Technology Based on Information Engineering Drive 2

Research on Real-Time Power Line Loss Detection Technology B...

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2nd international conference on distributed computing and Optimization Techniques, ICDCOT 2024

作者： Zhang, Jie Liu, Shengchun Feng, Chao Zhang, Shikun Ding, Haibo Zhu, Junze State Grid Qinghai Electric Power Research Institute Qinghai Xining China Qinghai Dehong Electric Power Technology Qinghai Xining China State Grid Qinghai Electric Power Company Qinghai Xining China School of Mathematical and Physical Science North China Electric Power University Beijing Changping China Haibei Electric Power Company of State Grid Qinghai Electric Power Company Qinghai Haiyan China Hydropower Development Sichuan Xiangcheng China

ISBN: (纸本)9798350382952

This paper proposes a real-time power line loss detection technology based on information engineering drive, firstly, through the algorithmic process of real-time power line loss detection, the real-time detection method of power line loss is determined. Secondly, by analyzing the redundancy relationship of independent components in distribution networks, the information engineering drive is used to improve the accuracy of line loss calculation, so as to reflect the historical line loss level. Finally, the accurate detection of power line loss is realized by solving the discriminant function of support vector machine. Simulation experiment results show that the real-time power line loss detection technology based on information engineering drive proposed in this paper has an average detection value of 97.53% and 97.68% in terms of line fault detection and metering device fault detection, respectively, and reduces the line loss rate of A and B groups to less than 1%, which can effectively improve the detection accuracy and reduce the measurement error and line loss rate, and it has certain practical It has certain practical value for electric power engineering. © 2024 IEEE.

关键词： Support vector machines

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