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Research on Service Scanning Supervision Technology Based on Improved Association Algorithm 3

Research on Service Scanning Supervision Technology Based on...

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3rd IEEE international conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024

作者： Shang, Qingqing Liu, Chao Li, Jiwei Ren, Liwei Zhang, Xinyi Jia, Zhen Jiang, Yuchen Liu, Haitao State Grid Information & Telecommunication Branch Beijing China State Grid Zhejiang Electric Power Co. Ltd. Lishui Power Supply Company Zhejiang Lishui China

ISBN: (纸本)9798350380989

The scale of data in the Internet environment is becoming increasingly large and complex. Its heterogeneous, dynamic and distributed information characteristics have caused the existing business scanning and monitoring models to be unable to meet its application needs. This project proposes an improved iterative algorithm based on multiple servers. By introducing the idea of local operation of memory nodes, a service scanning and monitoring model that can support concurrency is constructed. A cluster analysis method based on genetic algorithm based on cluster analysis is proposed. It is then synthesized to correlate the largest set of recurring items to achieve data association, extend the iterative service scanning supervision algorithm, and obtain user-interested implicit patterns from server logs. At the same time, personalized service purposes are achieved by recommending implicit interest collections to users. Simulation results show that this method can effectively improve the performance of business search monitoring, and has the characteristics of enhancement as the data size increases. © 2024 IEEE.

关键词： iterative algorithm local computing parallel algorithm Web data association

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Research on the Reconstruction of Galloping Curve of Transmission Line Based on BP Neural Network 2

Research on the Reconstruction of Galloping Curve of Transmi...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Yin, Hong Wu, Qijin Liu, Chuntang Xia, Liwei Zhang, Chuqian Wang, Xingchao State Grid Hubei Extra High Voltage Company Wuhan China

ISBN: (纸本)9798350347456

Galloping disasters have extremely bad effects on the operation of transmission lines, and the realization of galloping prediction is extremely necessary. The study takes the galloping sample data of the power system in Henan Province as an example to analyze the temporal and spatial distribution characteristics of meteorological data, meanwhile selects the BP neural network algorithm to complete the prediction of icing galloping on transmission lines. In line dancing prediction, the false alarm rate and false alarm rate of BP neural network algorithm are within a reasonable range. Compared with the other three prediction methods, the BP neural network algorithm has good performance in both the training set and the test set of transmission line icing galloping prediction The line galloping prediction results of the training set and the test set show that the BP neural network algorithm has ideal performance, and prediction accuracy rate increases by about 5-20%. The constructed transmission line ice galloping prediction model can give early warning of severe weather in time, ensuring the stability and safety of the power network. The research results can effectively control the hazards caused by grid galloping, improve the reliability level of transmission lines, and ensure the safety of the transmission system during peak winter. © 2023 IEEE.

关键词： Electric power transmission

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Research on Infrared Detection Method for Distribution Equipment Based on Cloud Edge Collaboration 5

Research on Infrared Detection Method for Distribution Equip...

引用

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

作者： Hengfu, Feng Bo, Zhang Chongyou, Xu Meng, Zhou State Grid Shanghai Energy Internet Research Institute Co. Ltd. Shanghai China State Grid Zhejiang Electric Power Co. Ltd. Ningbo Power Supply Company Ningbo China

ISBN: (纸本)9798350333442

Infrared imaging is the main method for detecting power equipment and a key means to ensure the safe and reliable operation of the power grid. Traditional infrared imaging devices are bulky, inconvenient to carry, and unfriendly to operate, which affects their practical application effectiveness. In recent years, infrared imaging online detection and portable infrared imaging technology have been continuously developed, and advanced technologies such as 'big cloud moving intelligence' have been rapidly applied, providing new ideas for infrared imaging detection. This article proposes mobile phone infrared imaging detection and perforated infrared imaging online detection technology solutions based on the characteristics of overhead lines and distribution station buildings in the distribution network, and designs an infrared imaging detection architecture based on cloud edge collaborative distribution equipment. Based on the cloud/edge collaboration mechanism, the inference calculation is moved forward to edge devices such as edge gateways or mobile phones. The model is trained in the cloud, and the model algorithm is updated before being distributed and deployed to the edge, reducing network transmission and cloud computing pressure. The cloud/edge updates independently. Finally, experiments have shown that the infrared imaging detection architecture for power distribution equipment based on cloud/edge collaboration effectively reduces network transmission load and cloud computing pressure, is easy to operate, and has good implementation effects. It provides a new solution to solve the series of problems existing in existing infrared imaging detection. © 2023 IEEE.

关键词： Image recognition

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RESEARCH AND APPLICATION OF KEY TECHNOLOGIES FOR LARGE-SCALE TIME-SERIES DATA COLLECTION AND SHARING IN POWER grid WAMS 2

RESEARCH AND APPLICATION OF KEY TECHNOLOGIES FOR LARGE-SCALE...

引用

2nd international conference on Power, Communication, computing and Networking Technologies, PCCNT 2024

作者： Shi, Yingjie Wang, Xiang Zhou, Chun Shi, Jinwei Chen, Shijia Nanjing NARI Digital Service Co. Ltd Nanjing China Nanjing China

ISBN: (纸本)9781837242672

With the acceleration of the construction of new power systems and the continuous increase in the proportion of new energy generation, the demand for data sharing and application collaboration among various levels of dispatch master stations in wide area measurement system(WAMS) is becoming increasingly urgent. An analysis of the current status of WAMS systems was conducted, and based on this, a scheme and architecture for collecting and sharing WAMS temporal data across the entire network were proposed. Key technologies such as wide area WAMS data modeling, large-scale temporal data interaction, distributed parallel storage and processing, and data security were studied, and large-scale WAMS temporal data collection and global sharing based on the entire network device model were achieved. At present, the research results have been demonstrated and applied in the National Power Dispatch Center, supporting business applications such as comprehensive analysis of power grid fault data, online monitoring and analysis of grid related performance of new energy and conventional units, and identification of typical fault disturbances. © The Institution of Engineering & Technology 2024.

关键词： Spatio-temporal data

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Simultaneous Planning of Active and Reactive DGs with Mixed-Load Model using Innovative Techniques: A Comparative Analysis

Simultaneous Planning of Active and Reactive DGs with Mixed-...

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2023 IEEE international conference on Power Electronics, Smart grid, and Renewable Energy, PESGRE 2023

作者： Saw, Bikash Kumar Kumar Bohre, Aashish N.I.T.-Durgapur Deptt. of Electrical Engg. WB Durgapur09 India

ISBN: (纸本)9798350310573

This research introduces an effective planning strategy for optimizing the deployment of multi-distributed Generations (DGs) within a mixed load model, encompassing constant, industrial, residential, and commercial loads. The optimization process leverages intelligent algorithms, specifically TLBO, APSO, and PSO. To validate this approach, the IEEE 69-bus Distribution System (DS) is employed. A Multi-Objective Function (MOF) is integrated, which incorporates a range of system indices for comprehensive performance assessment, including RealLoss, ReactiveLoss, and VDProfile metrics. Through strategic allocation of multiple DGs at optimal locations, the proposed TLBO technique showcases superior system performance when compared to basic APSO and PSO methodologies, particularly in terms of minimizing losses, and enhancing voltage profiles. © 2023 IEEE.

关键词： and TLBO APSO distributed Generation Mixed Load Model MOF PSO

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Feasibility and Cost Analysis of grid Connected Hybrid Solar Home System: A Case Study of Chattogram District in Bangladesh

Feasibility and Cost Analysis of Grid Connected Hybrid Solar...

引用

2022 IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2022

作者： Shahriyar, Fahim Islam, Monirul Chakraborty, Arindom Uddin, Mohammed Moin Siddique, Abdul Hasib Hasan, Mehedi University of Science and Technology Chittagong Dept. of Eee Chattogram Bangladesh

ISBN: (纸本)9781665483162

There has been a talk of solar home and its installation for a long time, but, feasibility and cost analysis are highly important point for a low-income country like Bangladesh. This paper focuses on a solar based home energy solution to reduce the consumption from grid in the residential sector in Chattogram district, Bangladesh. The proposed system will focus on a grid-connected solar system which will contribute to the consumption of a home as well as the grid. Large solar-based plants are not particularly a practical solution due to small and limited landmass. Hence, the ultimate plan is to focus on designing a system which will be efficient considering the specific facts of Chattogram, Bangladesh. The Global Horizontal Irradiation (GHI) and Diffuse Horizontal Irradiation (DHI) for Chattogram have been taken into consideration to come up with the daily energy potential. A detailed calculation of the energy consumption has also been shown in the paper as well. HOMER software has been used to validate the system. Finally, the annual cost and consumption analysis have been done to fill up the research gap in existing literature. © 2022 IEEE.

关键词： Irradiation

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grid Based Reliable Routing Algorithm with Energy Efficient in Wireless Sensor Networks Using Image Processing 5

Grid Based Reliable Routing Algorithm with Energy Efficient ...

引用

5th IEEE international conference on Communication, computing and Industry 6.0, C2I6 2024

作者： Niranjana, M.Ishwarya Daisy, Jeya Ramnivas, D. Gayathree, K. Vignesh, M. Parthipan, V. Sri Eshwar College of Engineering Department of Ece Coimbatore India Kumaraguru College of Technology Department of Eie Coimbatore India Kpr Institute of Engineering and Technology Department of Ece Coimbatore India Sree Sakthi Engineering College Department of Ece Coimbatore India Pollachi Institute of Engineering and Technology Department of Ece Coimbatore India

ISBN: (纸本)9798350379884

In the research community, dependable data transmission implementation is still a necessity in wireless sensor networks. Cluster routing is notable for its minimal overhead and reliable data transferring in traditional sensor wireless networks, greedy and perimeter forwarding have not yet been used to fully realize this potential for providing effective route alternatives in the setting of barriers and voids. This study presents a new grid-Based Reliable Routing method. This is performed by establishing virtual clusters on square grids and using the quality of intra- and inter-cluster communication to select the next hop to take, the simulation's outcome demonstrates that, while maintaining channel quality, the devised technique may advance the BS farther than the customary choices made by pertinent clustering route pick procedures. Additional simulation results demonstrate the improved energy economy, reduced latency, and dependability of the proposed method with randomly distributed barriers and nodes, The requirement for effective data transfer in remote sensor networks is currently being debated in the research sector. The result of the replication shows that, in comparison to the conventional options of significant grouping course pick activities, the developed plan may advance to the BS more quickly while maintaining channel quality. Additional recreation findings have shown the improved stability, reduced idle time, and increased energy efficiency of the given system randomly hubs and snagging dispersal. © 2024 IEEE.

关键词： BS (Base station) Cluster routing Effective data transfer Energy Efficiency grid-Based Reliable Routing square networks

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Framework of Cable Intelligent Maintenance Based on Big Data Analysis 2

Framework of Cable Intelligent Maintenance Based on Big Data...

引用

2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Hou, Jianjian Chen, Chen Wang, Chanjuan He, Wenjun Song, Junhua Li, Yulin State Grid Shandong Guangrao Power Supply Company Dongying China State Grid Shandong Dongying Power Supply Company Dongying China

ISBN: (纸本)9798350347456

For electric power companies, more and more data are stored in real-time databases through DAS and DCS systems. Using big data to analyze historical data can predict energy development trends and provide effective decision-making basis and future cable maintenance. work and maintenance etc. This paper proposes a risk assessment method for cable overhaul, that is, the estimated untreated risk is expressed by multiplying the post-treatment result by the failure rate. Comparing the results of an overhaul with the estimated risk of not overhauling provides the most decision-making results. This paper constructs a cable maintenance status evaluation management system based on big data, including the responsibility system, process system, control system and information management system of cable maintenance, in order to provide assistance for power development and increase the economic benefits of power companies. In this paper, the fundamentals of the mechanical properties of the elongation at break of cable fiber materials at different temperatures are investigated. Experimental studies show that the aging time and elongation at break of the XLPE sample cable at 140 °C to the critical reaction point are 26 days and 589%, respectively. The inflection point aging time is 13 days at 150 °C and 160 °C. Due to the effect of high-temperature aging, the mechanical properties of XLPE samples are severely damaged in a short period of time. © 2023 IEEE.

关键词： Condition based maintenance

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Reactive Power Optimization of Distribution Network with Renewable Energy Based on IAGPSO 5

Reactive Power Optimization of Distribution Network with Ren...

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

作者： Hu, Pingzhao Chang, Naichao Ma, Xiang Sun, Wenduo Liu, Jiantao Zhang, Kaifeng Yuan, Kun Ministry of Education Southeast University Key Laboratory of Measurement and Control of Cse Nanjing China National Electric Power Dispatching and Control Center of State Grid Corporation of China Beijing China State Grid Zhejiang Electric Power Co. Ltd. Jinhua Power Supply Company Jinhua China State Grid Zhejiang Electric Power Company Hangzhou China Nanjing China

ISBN: (纸本)9798350333442

With the rapid development of renewable energy represented by photovoltaic and wind power, the influence of the integration of renewable energy generation is increasing, and the voltage over-limit problem brought by grid-connected renewable energy needs to be solved urgently. In this paper, the reactive power compensation provided by photovoltaic and wind power inverters is considered in the distribution network scenes, combined with commonly used reactive power compensation resources for reactive power optimization of power system. First, a multi-objective function with network loss, voltage deviation and reactive power compensation priority is designed, and the weight of the multi-objective function is assigned by Analytic Hierarchy Process. Then, combined with the crossover characteristics of Genetic Algorithm, the improved adaptive Particle Swarm Optimization (IAGPSO) is used to optimize. Finally, the algorithm was simulated on the IEEE33-bus system. The result of IAGPSO is compared with that of Particle Swarm Optimization (PSO), which verifies the improvement effect of our algorithm. © 2023 IEEE.

关键词： Electric power distribution

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The Dual Feedback Mechanism Based Asynchronous Power Flow Method for Integrated Transmission and Distribution Networks 5

The Dual Feedback Mechanism Based Asynchronous Power Flow Me...

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

作者： Jierui, Yang Julong, Chen Qingsheng, Li Yu, Zhang Power Grid Planning Research Center Guizhou Power Grid Co. Ltd Guiyang China

ISBN: (纸本)9798350333442

With the high proportion of distributed generations (DGs) integrated into distribution networks (DNs), the relationship between transmission and distribution networks (T&DNs) is closer, and the analysis of the integrated transmission and distribution networks (I-T&DNs) has become inevitable. At present, the forward-backward-splitting (FBS) method is an asynchronous power flow method for the I-T&DNs with optimal convergence performance, but the FBS method has the disadvantage of the inflexible information interaction mechanism between the T&DNs, resulting in low computational efficiency. Therefore, this paper proposes the dual feedback mechanism (DFM) based asynchronous power flow method for the I-T&DNs. The DFM method has the new information interaction mechanism, which can reduce information-interaction time and improve computational efficiency. Simulation results verify the DFM method has better computational efficiency than the FBS method. © 2023 IEEE.

关键词： Electric power distribution

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