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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Peng, Yumin Zhang, Man Liu, Ying Jing, Shi Huang, Qi University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu China Institute of Electronic and Information Engineering of UESTC in Guangdong School of Mechanical and Electrical Engineering Dongguan China Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu China

ISBN: (纸本)9798350347159

When the inter-turn short circuit fault occurs in the dry-type air-core shunt reactor (DASR), the short circuit loop will consume a large amount of active power, which will cause the equipment temperature to rise in a short time and damage the equipment. Therefore, it is very important to detect the fault in the early stage of the inter-turn short circuit fault. This paper presents a method to detect the number of inter-turn short circuit fault turns of the DASR based on modified active power (Pm) and modified reactive power (Qm), at low voltage with low frequency. The formulas for Pm and Qm are obtained by adding correction factors to the formulas for active power and reactive power respectively. Their correction factors are obtained by using genetic algorithm. The variations of Pm and Qm under normal condition and short circuit condition with different turns are studied. The inter-turn short circuit fault with different frequency and different fault location is simulated. It provides a feasible method for detecting the inter-turn short circuit fault of the DASR and determining the number of short circuit turns. © 2022 IEEE.

关键词： Reactive power

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Research on digital twin architecture of rule-based intelligent diagnosis of reactor system

Research on digital twin architecture of rule-based intellig...

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2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022

作者： Su, Zhaokui Wang, Yun Zhang, Tengfei Zhang, Guigang China Nuclear Power Engineering Co. Ltd. State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment Shenzhen China Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (数字)9781665496315

ISBN: (纸本)9781665496315

This paper presents a digital twin architecture for a rule-based intelligent fault diagnosis system for reactors. It mainly includes: the establishment of reactor system accident diagnosis rules and knowledge base, the construction of reactor system accident knowledge map, and the method of mining accident parameters of reactor system. According to the typical accident conditions of the reactor system, through this architecture, the operation procedures can be electronically implemented, and the operation simulation research can be carried out. © 2022 IEEE.

关键词： Knowledge based systems

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Real-time Testbed for Smart Substation Interoperability: A Case Study on Auxiliary Control System

Real-time Testbed for Smart Substation Interoperability: A C...

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2023 Panda Forum on Power and Energy, PandaFPE 2023

作者： Chang, Zhengwei Cai, Dongsheng Wu, Jie Guan, Zexiang Feng, Fuyong Zheng, Zhou Qu, Jia He, Muxing Abulanwar, Saved State Grid Sichuan Electric Power Company Electric Power Research Institute Chengdu China The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China Huaneng Tibet the Yarlung Zangbo River Hydropower Development Investment Co. Ltd Chengdu China Mansoura University Electrical Engineering Department Egypt

ISBN: (纸本)9798350321173

Smart substation auxiliary control system (SSACS) is an important part of the smart substation. Among them, the national grid technical standards have made corresponding provisions on the function, composition, communication, etc. of the auxiliary control system, but they are relatively general. And there are some differences in the division, functions, access methods, and other aspects of the subsystem. At the same time, there are great differences in the product realization of various manufacturers, which brings serious problems to the operation and maintenance of smart substations. A simulation-based test framework is proposed to design a test system for the smart substation auxiliary control system to strictly test the whole system. All the devices and IEC 61850 protocols are tested by the proposed simulators. The experiment results show the test system can effectively test the auxiliary control system. © 2023 IEEE.

关键词： Control systems

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An Angle and Position-Informed Method for Constructing Equivalent Detector Response Function in Nai and Labr3:Ce: Case Study for Geological Exploration

SSRN

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SSRN 2024年

作者： Ge, Yi Liang, Jingang Fan, Jilin Zhang, Qiong School of Automation Engineering University of Electronic Science and Technology of China Chengdu611731 China Institute of Nuclear and New Energy Technology Tsinghua University Beijing100084 China

NaI and LaBr3:Ce scintillation detectors are widely used in nuclear reactors, medical imaging, and nuclear well logging for their high gamma ray detection efficiency. The detector response function, crucial for converting incident gamma flux spectra into gamma response energy spectra or vice versa, is defined as the pulse-height distribution resulting from the interaction of single-energy gamma rays with the detector. The variability in the gamma rays' incident angles and positions introduces significant complexity to the gamma response energy spectrum, particularly in realistic detection scenarios where gamma rays are received from multiple directions. To address this challenge, a versatile, angle and position-informed method has been proposed using the Monte Carlo technique for constructing equivalent detector response functions. The method takes into account the influence of the gamma ray's incident angle and position on the response energy spectrum, and incorporates real-world detection scenarios. Initially, partial response energy spectra for a range of incident angles and positions are generated through Geant4 simulations and are used as the basis for interpolation to determine response energy spectra at arbitrary energies. The Levenberg-Marquardt algorithm then optimizes the contributions of various angles and positions by minimizing an objective function, resulting in the establishment of an equivalent detector response function. The efficacy of the method is demonstrated through simulations and experimental validations using two nuclear well logging tools employed in geological exploration as case studies: a Cs-137 chemical source gamma density tool and a pulsed neutron source element logging tool. The findings demonstrate that the mean absolute error in the gamma response energy spectra calculated using the proposed method is reduced by 2 to 5 times compared to those calculated using conventional method, providing a foundation for broader application beyon

关键词： Gamma rays

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Disruption prediction and mitigation strategies in the EHL-2 spherical torus

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Plasma Science and technology 2025年第2期27卷 143-152页

作者： Jianqing CAI Yunfeng LIANG Zhongyong CHEN Wei ZHENG Di HU Lei XUE Zhifang LIN Xiang GU the EHL-2 Team Hebei Key Laboratory of Compact Fusion Langfang 065001People’s Republic of China Forschungszentrum Jülich GmbH Institute of Fusion Energy and Nuclear Waste Management-PlasmaphysikJülich 52425Germany International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074People’s Republic of China School of Physics Beihang UniversityBeijing 100191People’s Republic of China Southwestern Institute of Physics Chengdu 610225People’s Republic of China School of Electrical Engineering&Automation Jiangsu Normal UniversityXuzhou 221116People’s Republic of China ENN Science and Technology Development Co. Ltd.Langfang 065001People’s Republic of China

EHL-2 is a compact,high-field spherical tokamak designed to explore the potential of an advanced p-11B nuclear fusion *** to its high plasma current and thermal energy,it is crucial to mitigate the impact associated with disruptions to ensure the safe operation of *** paper evaluates the performance requirements of the disruption prediction system on EHL-2,with a particular focus on applying generalizable knowledge transfer from existing devices to future ***,the key characteristics of disruption mitigation strategies are analyzed,and their overall mitigation performance on EHL-2 is *** insight provides valuable guidance for optimizing the engineering design of EHL-2 and identifying its optimal operational regime.

关键词： spherical tokamak EHL-2 disruption mitigation disruption prediction neural network

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A New Method to Detect the Inter-Turn Short Circuit Fault of Dry-Type Air-Core Shunt Reactor 4

A New Method to Detect the Inter-Turn Short Circuit Fault of...

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4th International Conference on Power and Energy technology, ICPET 2022

作者： Wu, Jie Luo, Rongsen Zhang, Man Peng, Yumin Jing, Shi Huang, Qi Electric Power Research Institute of State Grid Sichuan Electric Power Company Chengdu China University of Electronic Science and Technology of China School of Mechanical and Electrical Engineering Chengdu China Chengdu University of Technology College of Nuclear Technology and Automation Engineering Chengdu China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

Due to the insulation fails caused by complex factors, such as the manufacture factors, transportation and complicated working environment, inter-turn short circuit fault is one of the frequent failures of shunt reactor, at the early stage of whom, its current is not high enough to trigger the protection equipment. However, the current in the shorted turn is very high, which causes serious copper loss, resulting in high temperature rise. In severe case, it will cause fire accident and explosion. Thus, it's important to design a sensitive and reliable method to detect the inter-turn short circuit fault at its early stage. In this paper, a method based on the power loss factor (PLF) considering both the activate power and equivalent resistance of reactor, is proposed to detect the inter-turn short circuit fault of an air-core shunt reactor considering the effect of insulation resistance. Taking a BKDCL-20000/35 dry-type air-core shunt reactor as an example, the inter-turn short circuit faults occur at different axial heights and coil layers are investigated. The electrical parameters, including equivalent resistance, equivalent inductance, active power, reactive power etc. are presented and comparison is implemented between the normal condition and failure conditions. The current and active power of the shorted turn is calculated and analyzed, which are used to explain the parameters variation of the reactor when inter-turn short circuit fault occurs. Finally, PLF under various working conditions is computed and presented, which provide an alternative to monitor the inter-turn short circuit fault. © 2022 IEEE.

关键词： Timing circuits

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Simulation and experimental study of low-energy fluorescence X-rays

Simulation and experimental study of low-energy fluorescence...

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10th International Symposium on Test automation & Instrumentation (ISTAI 2024)

作者： Derong Dai Siming Guo Pingping Ding Zhen Wang Zhiwei Li Wen Li College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu People's Republic of China National Institute of Metrology Beijing People's Republic of China

ISBN: (数字)9781837241910

Fluorescence X-rays have the advantages of good monochromaticity, high flux and stable dose rate. Carried out simulation and experimental studies of fluorescence X-rays in the (4.5 ~ 25.3) KeV energy range. The energy spectra produced by different radiators were simulated using Monte Carlo simulation software to obtain the theoretical spectra. The K β and L fluorescence X-rays were also filtered in the simulation by choosing different materials of secondary filter materials for each radiator. Measurement experiments were carried out using a HPGe detector to obtain experimental spectra. The simulation results match the experimental results, verifying the correctness of the experimental measurements. The fluorescence yield and Kα fluorescence purity of the radiator were calculated, in which the fluorescence yield of Zn reached percent 95.2 and the purity of K α fluorescence of Cd reached percent 82.8. The factors affecting the fluorescence yield experiment are the secondary filter corresponding to the radiator, which can be subsequently optimized in the selection of secondary filter.

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A study on the effects of long-term radiation exposure on superconducting magnets in MRI-Guided proton therapy

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Results in Physics 2024年 61卷

作者： Dai, Wei Dong, Lang Xie, Guo-Yu Wang, Ming Li, Guo-Dong Lin, Jun-Ze College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu 610059 China Shanghai Institute of Applied Physics Shanghai 201800 China

In this publication, we offer the first assessment of the long-term radiation impact on superconducting magnets utilized in MRI-guided proton therapy. We explore both uniform and non-uniform magnetic fields and create three improved therapy plans for shallow (brain), medium (liver), and deep (prostate) targets. The evaluation of radiation damage in superconducting magnets using therapy plans is carried out through the implementation of the Monte Carlo method, molecular dynamics method, and modified NRT model. The results of the three plans show that a large amount of particles do enter the superconducting magnet during the treatment, with a preponderance of photons and neutrons. For superconducting magnets in MRI systems, the closer the coil is to the target area, the greater the radiation damage, and the extent of radiation damage increases with the energy of the incident proton beam. The PKA with high energy can induce temperature fluctuations locally in the superconducting coils, but does not pose a threat to its mechanical properties. Following 20 years of continuous operation, the DPA of the internal coils is about 2.3097E-17, and the maximum dose to insulating layer is about 1.25 Gy. The results of this paper show that MRI-guided proton therapy poses no threat to the long-term operation of superconducting magnets. © 2024

关键词： MRI-guided proton therapy Radiation damage Superconducting magnets

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Segmented Prediction Model of Lithium-ion Battery Remaining Useful Life Based on LSTM and SVR 6

Segmented Prediction Model of Lithium-ion Battery Remaining ...

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6th International Conference on Intelligent Robotics and Control engineering, IRCE 2023

作者： Wang, Yingzhou Liu, Chengyuan Zhang, Xiuyu Deng, Yifan Chen, Lei Liu, Hui Liu, Bingzheng Zhang, Yanhui College of Automation Engineering Northeast Electric Power University Jilin China Chongqing Aerospace Polytechnic Department of Computer Engineering Chongqing China China Nuclear Industry Maintenance Co. Ltd Shenzhen Branch Shenzhen China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (纸本)9798350326338

As an important part of battery health management, accurate prediction on remaining useful life of lithium-ion battery can maintain and replace the batteries in advance to guarantee the safety and stability of the energy storage system. Most extant models use a single model throughout the entire stage for prediction, which may lead to the decrease of the accuracy for subsequent prediction due to insufficient learning, as well as disability to predict battery remaining useful life with data from other batteries. To solve these issues, a segmented prediction model of lithium-ion battery remaining useful life is proposed. In this method, the knee point of the capacity decline curve is detected and then long short-Term memory and support vector regression models are used to predict the remaining useful life before and after the knee point, respectively. The experimental prediction results represent that the proposed method achieves higher prediction accuracy compared with long short-Term memory method. © 2023 IEEE.

关键词： Forecasting

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A Data-Driven Residual Life Prediction Method For Rolling Bearings

A Data-Driven Residual Life Prediction Method For Rolling Be...

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Data Driven Control and Learning Systems (DDCLS)

作者： Shangrui Li Meng Li Zhilong Liu Minggang Li School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Institute of Reactor Power Engineering Nuclear Power Institute of China Chengdu China

Rolling bearing is a key component of rotating machinery, which affects the reliability of the equipment. In order to make the equipment intelligent, facilitate the maintenance of the equipment, and improve the operation efficiency of the equipment, a data-driven residual life prediction method of rolling bearing is proposed, which is used to intelligently predict the remaining service life of the equipment, providing great convenience for the maintenance of the equipment. First, wavelet packet de-noising method is used to remove the noise in the original signal, and then extract the time-domain and frequency-domain features of the de-noised signal, after that PCA is used to reduce the dimension of the feature information and fuse it into the comprehensive life characteristics of the bearing. Last, with the input of the subsequent life prediction features, the residual life prediction model based on PCA-SVR is finally constructed. The experimental results show that the residual life prediction model based on PCA-SVR has low error rate and high accuracy which can accurately predict the residual life of rolling bearings.

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