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research and Implementation of a Fast Fault Location Algorithm for Distribution network Equipment 5

Research and Implementation of a Fast Fault Location Algorit...

引用

5th International co.ference on Applied Machine Learning, ICAML 2023

作者： Qiao, Junfeng Zhou, Aihua Peng, Lin Shen, Xiaofeng Pan, Sen Chen, Jingde State Grid Key Lab. of Info. Network Security of State Grid Smart Grid Research Institute Co. Ltd Jiangsu Nanjing210003 China Qingpu Power Supply Company State Grid Shanghai Municipal Electric Power Company. Shanghai201799 China

ISBN: (纸本)9798350341416

The new distribution network management system is mainly a system that integrates automation and intelligent data acquisition technology, co.puter technology and business management system, and manages all aspects of the electric distribution grid. The traditional fault analysis of electric distribution grid equipment is to judge the relative position relationship between the widely distributed switches and segmented switch-gear in the electric distribution grid, which can find out the real location of equipment fault through section analysis. This method has a low degree of automation. Later, through the design and development of intelligent co.puter programs, feeder terminal co.ponents are integrated into the co.ventionalizing switch in the network, through which the state data of the switch is co.lected, and then the co.lected data is transmitted to the central co.troller, which is identified and analyzed by the co.puter system. After receiving the co.lected data, after judgment and analysis, specific instructions are issued to operate the switch acco.dingly, Isolate the faulty equipment in a specific area to ensure that it does not affect other non faulty areas. In the article, a method of fault identification is proposed, which integrates the geographic location info.mation into the co.puter program, and then performs signal dispatching through instruction analysis to realize the operation monitoring, data signal acquisition, equipment fault location, load co.trol, etc. of the distribution network equipment. © 2023 IEEE.

关键词： Electric power distribution

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research and implementation of a traceability algorithm for electric distribution data resources co.sidering distributed new energy 6

Research and implementation of a traceability algorithm for ...

引用

6th International co.ference on Intelligent co.puting, co.munication, and Devices, ICCD 2023

作者： Qiao, Junfeng Zhou, Aihua Peng, Lin Shen, Xiaofeng Gu, Hua Huang, Chenhong State Grid Key Lab. of Info. and Netwk. Secty. of State Grid Smart Grid Research Institute Co. LTD. Jiangsu Nanjing210003 China Qingpu Power Supply Company State Grid Shanghai Electric Power Company Shanghai201799 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

The traceability and analysis of power distribution business data depend on the accurate description of the co.relation network of power distribution data resources. In response to the above requirements, this paper first builds a multi-source heterogeneous power distribution and distributed new energy data flow topology network. Aiming at the co.plex relationship between power distribution and data resources and the flow characteristics of data, topology network co.struction technology is used to build bus type, star type, ring type, tree type, mesh and other topology networks acco.ding to the data association characteristics to achieve accurate description of the data association network. Then, based on the data association relationship network of power distribution and distributed energy, the data traceability must be calculated, and the traceability analysis can only be carried out if there is co.nectivity between the data. In response to the above requirements, the research on co.nectivity analysis algorithm based on power distribution and distributed new energy data network was carried out. By solving the co.nection path between the data nodes, the co.nectivity analysis requirements of the data nodes in the directed co.nected network and the directed co.nected network can be met. The data traceability of power distribution and distributed new energy is to trace the source of data in all business links, which plays an important role in the safe production, problem tracing, root cause analysis and other businesses of power distribution. In response to the above requirements, carry out research on tracing technology of allocated electricity and distributed new energy y based on path analysis. © co.YRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： network topology

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research and implementation of key technologies for electric distribution data analysis 6

Research and implementation of key technologies for electric...

引用

6th International co.ference on Intelligent co.puting, co.munication, and Devices, ICCD 2023

作者： Qiao, Junfeng Zhou, Aihua Peng, Lin Gu, Hua Shen, Xiaofeng Huang, Chenhong State Grid Key Lab. of Info. and Netwk. Secty. of State Grid Smart Grid Research Institute Co. LTD. Jiangsu Nanjing210003 China Qingpu Power Supply Company State Grid Shanghai Electric Power Company Shanghai201799 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

The application of electric distribution in various fields of society is very co.mon and indispensable. It has beco.e one of the most important indicators to measure a co.ntry's co.prehensive national strength. The level of electric service has a very important impact on the production and quality of life of the whole society. With the co.tinuous expansion of the sco.e of electric index analysis, the traditional electric index analysis tools can no longer meet the needs of massive electric big data analysis, and the rise of big data technology provides an effective solution. This paper first introduces the definition, measurement indicators and co.mon theoretical analysis methods of electric distribution data analysis. Based on the introduction of electric data analysis technology, it analyzes the development trend of electric quality analysis in the big data environment. Then, acco.ding to the characteristics of electric data of distribution network, an electric quality big data storage scheme based on Mongo DB is proposed, a power big data processing flow is designed, and a electric big data co.puting framework based on apache spark is built. On the basis of co.pleting the co.struction of electric big data of distribution network, this paper expounds the overall design idea, system framework design and system function module design of electric data analysis system and gives the design scheme of electric quality analysis system based on B/S four tier architecture. © co.YRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Electric power distribution

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co.trol Technology of Kernel Resource Isolation for Power Intelligent IoT Terminal Operating System 4

Control Technology of Kernel Resource Isolation for Power In...

引用

4th IEEE International co.ference on Renewable Energy and Power Engineering, REPE 2021

作者： Jiaxuan, Fei Xiangqun, Wang Qigui, Yao Nuannuan, Li Cen, Chen Global Ener. Interconnection Res. Inst. Co. Ltd. State Grid Key Lab. of Info. and Network Security Nanjing China State Grid Henan Elec. Power Research Institute Henan Laboratory OfInformation and Network Security Zhengzhou China

ISBN: (纸本)9781665443715

With the development of electric smart Internet of Things, electric smart Internet of Things terminals are widely used, and higher requirements are put forward for the safety of electric smart Internet of Things terminals. This paper studies the current research status of using co.tainer technology for kernel resource isolation co.trol, and proposes a co.prehensive co.tainer resource isolation protection scheme. The resource isolation and protection module of the electric supply IoT terminal co.tainer is realized through two ways of kernel security lab.l and path matching. We reported the experimental results to verify the proposed methods and demonstrated the effectiveness. © 2021 IEEE.

关键词： co.tainers

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