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Modeling and Testing of Thermoelectric Generator Based Energy Harvester for Powering Wireless Sensor Node Used in Condition Monitoring System for HVDC Converter 4

Modeling and Testing of Thermoelectric Generator Based Energ...

引用

4th IEEE International Conference on Electrical Materials and Power Equipment, ICEMPE 2023

作者： Lan, Tian He, Qinwei Li, Chunlong Lan, Yuanliang Liu, Weilin Zhang, Kanjun Global Energy Interconection Research Institute Europe GmbH Dept. of Intelligent Sensing and Monitoring Berlin Germany Electric Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory State Grid Smart Grid Research Institute Co. Beijing102209 China State Grid Hubei Electric Research Institute Hubei Wuhan430077 China

ISBN: (纸本)9798350334678

This paper focuses on the modeling and testing of a thermoelectric generator (TEG) -based energy harvester for powering wireless sensor nodes in a high-voltage direct current (HVDC) converter. The objective is to investigate the feasibility of using an environmental power-based energy harvesting solution for powering wireless sensor nodes in harsh industrial environments. The paper firstly models the thermoelectric generator, and then the experimental validation of the TEGbased energy harvester is carried out in a real HVDC converter module. The results prove the feasibility of using a thermoelectric generator as an energy source for powering wireless sensor nodes in condition monitoring for HVDC converter. © 2023 IEEE.

关键词： Condition monitoring

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Complement Power Line with Point Movement 7

Complement Power Line with Point Movement

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7th IEEE International Conference on Power and Renewable Energy, ICPRE 2022

作者： Qian, Jiye Yin, Xin Zhang, Zhifeng Jiang, Kaihua Niu, Yifeng Liang, Yan Electric Power Research Institute State Grid Chongqing Chongqing China State Grid Smart Grid Research Institute Co. Ltd. Electric Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing China

ISBN: (数字)9781665450638

ISBN: (纸本)9781665450638

Point clouds captured by LiDAR are widely used in power line maintenance, where the completeness of the point cloud is essential in many applications. Due to the performance of LiDAR equipment, acquisition operations, and other factors, there are missing parts in the captured point cloud of power line. This paper presents a simple but effective method that complements for the missing part of the point cloud with the non-missing part of the power line. By coordinate transformation, the point clouds of all candidate power lines are aligned to the required position. It is very easy to move the transformed points to fill in the missing part of the power line, which can be achieved by only addition and subtraction operations. This paper presents our specific methods of coordinate transformation and point cloud movement for power line complement. The effectiveness of our method is verified by complementing in 59 missing point cloud fragments of the power line. © 2022 IEEE.

关键词： Optical radar

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Numerical Simulation and Analysis of Streamer Discharge of SF6/N2 Mixed Gas Under High-Pressure, Low-Temperature Conditions 11th

Numerical Simulation and Analysis of Streamer Discharge of S...

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11th Frontier Academic Forum of Electrical Engineering, FAFEE 2024

作者： Wei, Yaoxin Zhang, Longfei Liu, Ji Li, Zhen Zhao, Chunming Key Laboratory of Engineering Dielectrics and Its Application Ministry of Education Harbin University of Science and Technology Heilongjiang150080 China Electric Power Research Institute of State Grid Jilin Electric Power Co. Ltd. Jilin130021 China

ISBN: (纸本)9789819788316

In analyzing GIS equipment failures in high-altitude regions, it was discovered that winter faults accounted for 46% of total failures. This is primarily attributed to the liquefaction susceptibility of SF6 gas in environments characterized by high pressure and low temperature, posing a significant risk to the safe and stable operation of GIS/GIL equipment. To enhance the gas's resistance to liquefaction, SF6/N2 gas mixtures are commonly utilized instead of pure SF6 gas in engineering applications. However, the introduction of N2 gas can lead to a reduction in the insulation capability of GIS equipment. To investigate the influence of pressure and temperature on the gas discharge characteristics of the mixed gas, this study calculates simulation on plasma discharge of 20%SF6/80%N2 mixed gas at different temperatures and pressures, obtaining the spatiotemporal distribution of microscopic parameters changes within the mixed gas flow and the electron density, positive and negative ion concentrations, and chemical reaction rates. The results indicate that with increasing pressure, the chemical reaction rates initially rise before stabilizing, while with decreasing temperature, they exhibit a trend of increasing in the early stages of streamer development and decreasing in the intermediate and later stages. The electron density and the streamer development process follow similar trends in variation. This paper reveals the mechanism of the impact of temperature and pressure on the insulation performance of SF6/N2 mixed gas, laying a theoretical foundation for subsequent research on the adaptability of high-voltage electrical equipment to low-temperature environments. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： SF6 insulation

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Distinguishing LLM-generated from Human-written Code by Contrastive Learning

arXiv

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arXiv 2024年

作者： Xu, Xiaodan Ni, Chao Guo, Xinrong Liu, Shaoxuan Wang, Xiaoya Liu, Kui Yang, Xiaohu State Key Laboratory of Blockchain and Data Security Zhejiang University Hangzhou China Software Engineering Application Technology Lab Huawei Hangzhou China

Large language models (LLMs), such as ChatGPT released by OpenAI, have attracted significant attention from both industry and academia due to their demonstrated ability to generate high-quality content for various tasks. Despite the impressive capabilities of LLMs, there are growing concerns regarding their potential risks in various fields, such as news, education, and software engineering. Recently, several commercial and open-source LLM-generated content detectors have been proposed, which, however, are primarily designed for detecting natural language content without considering the specific characteristics of program code. This paper aims to fill this gap by proposing a novel ChatGPT-generated code detector, CodeGPTSensor, based on a contrastive learning framework and a semantic encoder built with UniXcoder. To assess the effectiveness of CodeGPTSensor on differentiating ChatGPT-generated code from human-written code, we first curate a large-scale Human and Machine comparison Corpus (HMCorp), which includes 550K pairs of human-written and ChatGPT-generated code (i.e., 288K Python code pairs and 222K Java code pairs). Based on the HMCorp dataset, our qualitative and quantitative analysis of the characteristics of ChatGPT-generated code reveals the challenge and opportunity of distinguishing ChatGPT-generated code from human-written code with their representative features. Our experimental results indicate that CodeGPTSensor can effectively identify ChatGPT-generated code, outperforming all selected baselines. Copyright © 2024, The Authors. All rights reserved.

关键词： Contrastive Learning

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Study of Traceability System of Renewable Energy Power Trading Based on blockchain technology

Study of Traceability System of Renewable Energy Power Tradi...

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2022 International Conference on blockchain technology and Information Security, ICBCTIS 2022

作者： Zhang, Qing Xu, Tao Wang, Dong Liu, Zijian Cheng, Chuanyuan Zheng, Shangzhuo Wang, Gangpeng State Grid Beijing Electric Power Company Beijing China State Grid E-Commerce Co. Ltd. Beijing China Co. Ltd. Beijing China Blockchain Technology Laboratory of State Grid Corporation of China Beijing China

ISBN: (数字)9781665496919

ISBN: (纸本)9781665496919

This article first introduced the process of renewable energy power trading, sorted out the core information and data required for the traceability of the entire chain from the power generation side to the power consumption side, and established the renewable energy power traceability mechanism of 'sub-link traceability + overall calculation and verification'. Using blockchain encryption and anti-tampering features, a blockchain-based core data collection and traceability system was studied and designed, which realized the on-chain certification and traceability verification of key information to ensure the authenticity and credibility of traceable data, and improve traceability and supervision capabilities. The renewable energy traceability system has been verified in a power supply scenario. © 2022 IEEE.

关键词： blockchain

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Non-intrusive closed-loop current sensor based on tunneling magnetoresistance

Non-intrusive closed-loop current sensor based on tunneling ...

引用

2022 International Conference on Advanced Mechanical, Electronic and Electrical Engineering, ICAMEE 2022

作者： Deng, Hui Qian, Sen Huang, Hui Huang, Feng State Grid Smart Grid Research Institute Co. Ltd. Beijing102209 China Elec. Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing102209 China

In this paper, a non-intrusive closed-loop current sensor based on high-sensitivity tunneling magnetoresistance (TMR) were demonstrated. Using the finite element modeling based on Maxwell's electromagnetic theory, the distribution of magnetic field on the closed-loop magnetic flux concentrator (MFC) was calculated with a copper busbar passing through the center. Two different types with "slot"and "hole"were designed to place TMR sensors for the detection of the magnetic field generated by the working copper busbar. A secondary winding around MFC generated a reverse magnetic field to completely offset the magnetic field of the primary current, which realizes the real-time adjustment and monitoring of the current by the TMR sensor with magnetic flux balance. Moreover, the simulated results show that the performance of slot-gap MFC is better than that with hole-type design. Utilizing the experimental TMR sensor with sensitivity of 10 mV/V/Oe and linear field range of ±40 Oe, the monitoring current can reach up to 200 A. The described application in the current monitoring demonstrates the functionality and feasibility of TMR sensors. © Published under licence by IOP Publishing Ltd.

关键词： Magnetic flux

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Direct Power Supply Identification Method of PV Power Based on Affinity Propagation Clustering 1

引用

7th International Conference on Smart grid and Innovative Frontiers in Telecommunications, SmartGIFT 2022

作者： Deng, Hanjun He, Xing Huang, Rui Su, Yuping Zhang, Suihan Zeng, Wenwei State Grid Hunan Electric Power Company Limited Hu’nan Changsha410000 China Hunan Province Key Laboratory of Intelligent Electrical Measurement and Application Technology Hunan Changsha410000 China

ISBN: (数字)9783031317330

ISBN: (纸本)9783031317323

At present, the marketization of distributed photovoltaic power generation faces problems such as the trading model is still immature and the trading mechanism is complicated, which makes the management of distributed energy trading very difficult. In this paper, a direct power supply identification method based on affinity propagation (AP) clustering is proposed. First, the historical PV output data of the station or neighboring stations are used to obtain the output data of the "same type" PV arrays for reference. Then, the AP clustering algorithm is used to cluster the power generation data in the same temperature segment, and the PV power sources suspected of direct power supply are identified according to the corresponding relationship between the clustering results and the electricity sales state. Finally, the proposed method is verified by the actual operation data in a certain area. The simulation results verify the effectiveness of the proposed method for the identification of direct PV power supply, and provide a reference for the subsequent on-site inspection of power grid companies. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Clustering algorithms

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UWB Indoor Positioning technology applications in the LOS and NLOS Scenarios 8

UWB Indoor Positioning Technology Applications in the LOS an...

引用

8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Gui, Mao Fang, Huan Zhao, Jinyu Tang, Zhiying China Gridcom Co. Ltd State Grid Laboratory of Power Line Communication Application Technology China Beijing University of Posts and Telecommunications School of Information and Communication Engineering Beijing100876 China

ISBN: (纸本)9798350302455

Indoor positioning has been a major difficulty in the field of positioning due to the complex diversity of indoor environments and the different interference conditions of indoor noise. Its performance and positioning accuracy are better than those of WiFi, Bluetooth and other indoor positioning technologies. However, due to the existence of indoor obstacles, in the case of Non-line-of-sight (NLOS), the performance of UWB positioning technology deteriorates sharply because the common algorithm for UWB positioning is TOA (Time Of Arrival), which has a large additive noise interference in the measurement time. In order to improve the performance of UWB localization algorithm, this paper proposes an iterative weighted compensation localization algorithm based on the common propagation model obeyed by indoor localization, which improves the performance of the UWB localization algorithm by 41.9%, 24.2% and 10.4% in the LOS, DP-NLOS and NDP-NLOS propagation models, respectively. © 2023 IEEE.

关键词： Additive noise

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Research on Deep Forgery Data Identification and Traceability technology Based on blockchain 2

Research on Deep Forgery Data Identification and Traceabilit...

引用

2nd IEEE International Conference on Data Science and Computer application, ICDSCA 2022

作者： Yang, Ke Li, Da Guo, Qinglei Wang, Hejian Bai, Desheng Pan, Xiukui Co. Ltd. Beijing China Co. Ltd. State Grid Co. Ltd. Blockchain Technology Laboratory Beijing China

ISBN: (数字)9781665472005

ISBN: (纸本)9781665472005

With the acceleration of the digital transformation of the power system, the electronic data in the power production operation has shown an explosive growth. However, the increasing proliferation of deep forgery technology has brought huge hidden dangers to the electronic data management of power grid enterprises, and it is urgent to build a trusted management system for electronic data. This paper proposes a blockchain-based deep forgery data identification and traceability framework. Firstly, a method of trusted identification of electronic data based on blockchain is proposed, which constructs the unique identification of data and embeds it in the electronic data as a digital watermark. Second, introduce blockchain-based electronic data forensic appraisal technology to conduct authenticity and similarity analysis of electronic data. Finally, a deep forgery data traceability mechanism based on digital identification is designed to realize deep forgery data traceability and dissemination supervision. After comparative analysis, the framework is more secure and efficient in deep forgery data supervision, and can provide key support for building a trusted content system in cyberspace. © 2022 IEEE.

关键词： blockchain

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Design and Implementation of Electronic Data blockchain Judicial Deposit Platform for Power grid Gusiness

Design and Implementation of Electronic Data Blockchain Judi...

引用

Science and technology Innovation (IAECST), International Academic Exchange Conference on

作者： Guomin Li Jiaxing Xuanline Wenhao Xue Fan Jia Blockchain Technology Laboratory of State Grid Corporation of China State Grid Digital Technology Holding Co. State Grid Blockchain Technology (Beijing) Co Beijing China

In the process of power grid digital transformation, electronic data such as electronic contract, electronic signature and electronic bidding are widely used. The electronic data is easy to tamper and forge, which makes it difficult to form effective legal *** solve this problem, this paper proposes to use blockchain technology to build a judicial certificate storage platform for power grid business, and use blockchain identity certificate mode to realize business-based user authority management;The domestic password and smart contract technology are used to realize the encrypted transmission, complete preservation and trusted sharing of electronic data in power grid enterprises, judicial authentication centers and other institutions;Through the high-performance keyword matching algorithm, the rapid query and accurate evidence collection of electronic data are realized, which not only promotes the development of power grid digitalization, but also improves the legal quality and efficiency of electronic data depository.

关键词： Technological innovation Law Government Smart contracts Memory Passwords Power grids

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