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arXiv 2023年

作者： Wang, Jingyu Chen, Jinfu Shi, Dongyuan Duan, Xianzhong The State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China The College of Electrical and Information Engineering Hunan University Changsha China

Topology diagrams are widely seen in power system applications, but their automatic generation is often easier said than done. When facing power transmission systems with strongly-meshed structures, existing approaches can hardly produce topology diagrams catering to the aesthetics of readers. This paper proposes an integrated framework for generating aesthetically-pleasing topology diagrams for power transmission systems. Input with a rough layout, the framework first conducts visibility region analysis to reduce line crossings and then solves a mixed-integer linear programming problem to optimize the arrangement of nodes. Given that the complexity of both modules is pretty high, simplification heuristics are also proposed to enhance the efficiency of the framework. Case studies on several power transmission systems containing up to 2,046 nodes demonstrate the capability of the proposed framework in generating topology diagrams conforming to aesthetic criteria in the power system community. Compared with the widespread force-directed algorithm, the proposed framework can preserve the relative positions of nodes in the original layout to a great extent, which significantly contributes to the identification of electrical elements on the diagrams. Meanwhile, the time consumption is acceptable for practical applications. © 2023, CC BY-NC-SA.

关键词： Topology

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A Fast Line Reclosing Strategy for Power System Under DG Access

A Fast Line Reclosing Strategy for Power System Under DG Acc...

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Power engineering (ICPE), International Conference on

作者： Wulue Pan Feng Xu Zanzan Zhang Ruizhi Ma Zhengxu Qian Yutao Qiu Shuiyao Chen Yudong Fang State Grid Zhejiang Electric Power Co. Ltd. Hangzhou China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China

For the automatic reclosing of power system under renewable energy source access, the current practice is usually to cut off the renewable energy source or block the reclosing gate after a fault occurs. This will lead to the shutdown of the renewable energy source and the interruption of power supply to a large number of local loads, which is not conducive to the safe operation of the grid and the efficient utilization of the renewable energy source. In this paper, a fast reclosing method is proposed for substation lines with inverter-type renewable energy source access, which can ensure the power supply of important loads and make the renewable energy source stable during the reclosing period without going off-grid. Firstly, it is pointed out that the inverter-type renewable energy source is switched to VSG-control during the reclosing period, so that it has the basic islanding operation capability. Then the method of load shedding with the startup of unloading resistor during the reclosing period is proposed to ensure the power balance between the new energy power and the loads. Next, adjusting the rated frequency of the renewable energy source to accelerate the simultaneous process, which can speed up the whole reclosing process. Finally, the simulations under different working conditions are carried out on the PSCAD/EMTDC to verify the feasibility of the proposed reclosing strategy.

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Ionization waves in nanosecond pulsed atmospheric pressure plasma jets in argon

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High Voltage 2021年第4期6卷 665-673页

作者： Bangdou Huang Cheng Zhang Wenchao Zhu Xinpei Lu Tao Shao Beijing International S&T Cooperation Base for Plasma Science and Energy Conversion Institute of Electrical EngineeringChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina State Key Laboratory of NBC Protection for Civilian BeijingPeople’s Republic of China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and TechnologyWuhanHubeiChina

Typical ionization waves(IWs)are observed during the propagation of nanosecond pulsed atmospheric pressure plasma jets(APPJs)with argon flow,combining both the measurement of the axial electric field(Ez)and the temporal resolved optical *** movement of the luminous APPJ head is recognized as the development of the IW front,accompanied with the propagation of the peak electric ***,the radial distribution of Ez transits from a central peak profile before the IW front arrives to a hollow profile after the pass of the IW *** for the temporal Ez trend,there is a mode transition from the single-peak feature under a low peak voltage to the double-peak feature under a higher peak voltage,indicating the existence of both primary and secondary *** effect of target conditions on the IWs in APPJs is also *** a metal target,no residual electric field is observed before imposing the high-voltage ***,with a dielectric target,the residual surface charges generate a back-ground electric field in the opposite direction to that during IW *** the free APPJ(with no target),on the voltage falling edge,a negative electric field drives the electron flow to compensate the positive ions left over during the forward IW propa-gation on the voltage rising edge.

关键词： field luminous dielectric

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Destabilizing effects of edge infernal components on resistive wall modes in advanced tokamak scenarios

Destabilizing effects of edge infernal components on resisti...

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作者： Han, Rui Zhu, Ping Zheng, Linjin Department of Plasma Physics and Fusion Engineering School of Nuclear Science and Technology University of Science and Technology of China Hefei230026 China International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Department of Engineering Physics University of Wisconsin-Madison MadisonWI53706 United States Institute of Fusion Studies University of Texas at Austin AustinTX78712 United States

The stability of the n = 1 resistive wall modes (RWMs) dominated by the pressure-driven infernal components is investigated using the ideal magnetohydrodynamics (MHD) code AEGIS for the advanced tokamak scenarios. Here, n is the toroidal mode number. In the advanced tokamak scenarios, due to the large fraction of bootstrap current contribution, the profile of safety factor q is deeply reversed in magnetic shear in the central core region and locally flattened within the edge pedestal. Consequently, the pressure-driven infernal components develop in the corresponding flat-q regions of both core and edge. However, the edge infernal components dominate the n = 1 RWM structure and lead to lower βN limits for the advanced tokamak scenarios. In the framework of ideal MHD, the edge rotation is found the most critical to the stabilization due to the dominant influence of the edge infernal components, which should be maintained sufficiently large in magnitude and range in order for the rotation alone to fully suppress the n = 1 RWM in typical advanced tokamak scenarios. © 2023 Author(s).

关键词： Safety factor

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Reduced-order Model of Frequency Response Including PLL-based DFIG Wind Turbine

Reduced-order Model of Frequency Response Including PLL-base...

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Smart Grids and Energy Systems (SGES), International Conference on

作者： Ye Zhang Wangqianyun Tang Yifan Fang Yanjun Liu Wei He Yingbiao Li State Key Laboratory of HVDC China Southern Power Grid CSG Electric Power Research Institute Guangzhou China State Key Laboratory of Advanced Electromagnetic Engineering and Technology and School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

In the existing power system frequency response models, most of them ignore the dynamic process of inertial response of renewable energy generation equipment, which makes the new characteristics of power system frequency dynamics not described. In this paper, we take a doubly-fed induction generator (DFIG) as an example and establish its electromechanical time-scale motion equation in the frequency domain from its basic control structure, and extract the active power-frequency branch as the equivalent inertia of the DFIG, and the average frequency response model of the system was developed on this basis. Considering the inconvenience of higher order systems in the analysis, the least squares method is used to reduce the order of the frequency response model. Finally, the above model is simulated in MATLAB/Simulink and the simulation results are analyzed.

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Learn from Raw Data or Statistical Features? A Comparison between Two Deep Learning Patterns in Power System Stability Analysis

Learn from Raw Data or Statistical Features? A Comparison be...

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2021 International Conference on Power System technology, POWERCON 2021

作者： Shi, Zhongtuo Yao, Wei Huang, Yanhao Tang, Yong Wen, Jinyu Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781665407373

Deep learning has proven to be a useful tool in power system stability analysis. Learning from raw data or extracted statistical features are two common patterns to build deep learning models. The former does not rely on the expertise and is easy to implement. But its input data are usually high-dimensional and coupled with specific components in power systems. The latter, on the other hand, has a small and fixed input dimension, making it more adaptable and reducing storage and time usage. Taking the dominant instability identification problem as an example, case studies are conducted to empirically compare the two patterns. The findings reveal that neither of them has an overall or absolute advantage over the other. Higher precision is achieved by learning from raw data but at the cost of more time and space consumption. Learning from statistical features, on the other hand, is slightly less accurate but significantly faster. For the case of operational variability, which pattern is better varies on the individual cases, so further case-by-case studies are usually needed. But the difference between the two patterns is relatively small. Based on this, their application scenarios in practice are discussed. © 2021 IEEE.

关键词： Digital storage

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Fast Searching of Extreme Operating Conditions for Relay Protection Setting Calculation Based on Graph Neural Network and Reinforcement Learning

arXiv

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arXiv 2025年

作者： Li, Yan Wang, Jingyu Zhang, Jiankang Li, Huaiqiang Ren, Longfei Li, Yinhong Shi, Dongyuan Duan, Xianzhong The State Key Laboratory of Advanced Electromagnetic Technology The School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China The Northwest Branch State Grid Corporation of China Shaanxi Xian710048 China The College of Electrical and Information Engineering Hunan University Changsha China

Searching for the Extreme Operating Conditions (EOCs) is one of the core problems of power system relay protection setting calculation. The current methods based on brute-force search, heuristic algorithms, and mathematical programming can hardly meet the requirements of today’s power systems in terms of computation speed due to the drastic changes in operating conditions induced by renewables and power electronics. This paper proposes an EOC fast search method, named Graph Dueling Double Deep Q Network (Graph D3QN), which combines graph neural network and deep reinforcement learning to address this challenge. First, the EOC search problem is modeled as a Markov decision process, where the information of the underlying power system is extracted using graph neural networks, so that the EOC of the system can be found via deep reinforcement learning. Then, a two-stage Guided Learning and Free Exploration (GLFE) training framework is constructed to accelerate the convergence speed of reinforcement learning. Finally, the proposed Graph D3QN method is validated through case studies of searching maximum fault current for relay protection setting calculation on the IEEE 39-bus and 118-bus systems. The experimental results demonstrate that Graph D3QN can reduce the computation time by 10 to 1000 times while guaranteeing the accuracy of the selected EOCs. Copyright © 2025, The Authors. All rights reserved.

关键词： Deep reinforcement learning

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An Online Accuracy Evaluation Method for Calibration Devices Based on Spatial Correlation

SSRN

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SSRN 2023年

作者： Qu, Zemin Jiao, Yang Li, Hongbin Chen, Qing Zhu, Yongzheng Wei, Wei School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan430074 China Wuhan430070 China

As the testing device for smart electricity meters, a calibration device should be ensured to have qualified metering performance. The conventional inspection could only be conducted periodically, usually once a quarter, making the deterioration between two inspections neglected. Thus, studies have been made on the online inspection. Most of them are developed only for functional failures but not performance deterioration, while several theoretically feasible methods rely on too large data volumes and varieties to be practically applied. In this paper, an accuracy evaluation method is proposed based on the idea that the difference in two calibration devices' metering performance could be reflected through the correlation of time series formed by their testing results. Also, the superiority in data volumes and varieties is demonstrated, and the validity is verified with an application. © 2023, The Authors. All rights reserved.

关键词： Calibration

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A biologically stable, self-catalytic DNAzyme machine encapsulated by metal-phenolic nanoshells for multiple microRNA imaging

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Chinese Chemical Letters 2023年第10期34卷 197-203页

作者： Xin Jin Qin Wang Jiezhou Pan Jin Wang Yunxiang He Jiaojiao Shang Mei Chen Xianglian He Yaoyao Zhang Bo Wang Yajie Wang Guidong Gong Junling Guo BMI Center for Biomass Materials and Nanointerfaces College of Biomass Science and EngineeringSichuan UniversityChengdu 610065China School of Pharmacy Southwest Minzu UniversityChengdu 610225China Department of Chemical and Biological Engineering Bioproducts InstituteUniversity of British ColumbiaVancouver BC V6T 1Z4Canada State Key Laboratory of Polymer Materials Engineering Sichuan UniversityChengdu 610065China National Engineering Laboratory for Clean Technology of Leather Manufacture Sichuan UniversityChengdu 610065China Department of Obstetrics and Gynecology Key Laboratory of Birth Defects and Related of Women and Children of Ministry of EducationThe Reproductive Medical CenterWest China Second University HospitalSichuan UniversityChengdu 610041China CAS Key Laboratory of Quantitative Engineering Biology Shenzhen Institute of Synthetic BiologyShenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China School of Engineering Westlake UniversityHangzhou 310034China

DNAzyme machines play critical roles in the fields of cell imaging, disease diagnosis, and cancer therapy. However, the applications of DNAzyme machines are limited by the nucleases-induced degradation,non-specific binding of proteins, and insufficient provision of cofactors. Herein, protected DNAzyme machines with different cofactor designs(referred to as Pro Ds) were nanoengineered by the construction of multifunctional metal-phenolic nanoshells to deactivate the interferential proteins, including nucleases and non-specific binding proteins. Moreover, the nanoshells not only facilitate the cellular internalization of Pro Ds but provide specific metal ions acting as cofactors of the designed DNAzymes. Cellular imaging results demonstrated that Pro Ds could effectively and simultaneously monitor multiple tumor-related micro RNAs in living cells. This facile and rapid strategy that encapsulates DNAzyme machines into the protective metal-phenolic nanoshells is anticipated to extend to a wide range of functional nucleic acidsbased biomedical applications.

关键词： DNAzyme machine Metal-phenolic nanoshells Interference protection Cofactors self-supply Cell imaging

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Numerical study on the impact of interface contact resistance on the performance of a PEMFC with serpentine flow field 5

Numerical study on the impact of interface contact resistanc...

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5th International Conference on Energy engineering and Environmental Protection, EEEP 2020

作者： Chen, Shuyu Feng, Sheng Lu, Wenbo Chen, Qi Wuhan National High Magnetic Field Center State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China

The performance of a proton exchange membrane fuel cell (PEMFC) strongly relies on the flow-field design. In this study, a three-dimensional, multiphase, and non-isothermal PEMFC model with single serpentine flow field has been developed to investigate the effect of interface contact resistance (ICR) between the bipolar plate (BP) and gas diffusion layer (GDL) on the flow field dimension. In the cases of 25 different combinations of channel and rib width, polarization curves and power density curves of the PEMFC without ICR and with ICR of 7.418 mΩ.cm2 as well as 21 mΩ.2 are investigated. The results show that ICR has little effect on channel pressure drop but on liquid water accumulation. The value of ICR affects both the ohmic loss stage and concentration loss stage of the polarization curves. The power density of the PEMFC without ICR at the operating voltage 0.5V decreases as the rib width increases, while that with ICR increases as the rib width increases. Furthermore, the influence of invalid active area in BPs caused by flow field configuration on the cell performance should not be neglected when the ICR value is lower than 10 mΩ.2. © Published under licence by IOP Publishing Ltd.

关键词： Contact resistance

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