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Study on Disturbance Propagation Characteristics of Power Grid and evaluation of Temporal and Spatial Correlation Characteristics of Voltage Phase Trajectory 41

Study on Disturbance Propagation Characteristics of Power Gr...

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第41届中国控制会议

作者： Yibo Kong Changyou Feng Hongying Yang Liping Yan Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Xinjiang Electric Power Research Institute of State Grid Xinjiang Electric Power Co. Ltd. National Electric Power Dispatching and Control Center of State Grid Corporation of China China Electric Power Research Institute

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

With the access of large-scale new energy and power electronic equipment,as well as the influence of various random uncertain factors,the analysis and control of dynamic security of large power grids become particularly difficult,so it is of great practical significance to study the disturbance propagation characteristics of complex power *** is an important parameter that affects the security of power systems,and the voltage phase trajectory contains abundant power grid ***,based on the measured data,this paper quantitatively describes the characteristics of dynamic space-time distribution of the voltage,and numerically reveals the different influences of disturbance on different nodes and the characteristics of disturbance ***,the geometric characteristics of the measured voltage phase trajectory are mined,the new trajectory distance is defined,the characteristic trajectory plane is constructed,and the spatio-temporal evolution law of voltage phase trajectory is *** the sequel,through the density-based DBSCAN clustering method,the characteristic tracks of voltage movement are clustered and analyzed,and the temporal and spatial correlation characteristics of voltage movement trends of each node are measured,and the law of disturbance propagation is ***,based on the measured data of IEEE 39-bus system,the simulation analysis is carried out,and the effectiveness of the presented algorithm is verified.

关键词： Disturbance propagation Voltage phase trajectory Temporal and spatial correlation characteristics Trajectory clustering

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A Novel Agricultural Data Sharing Mode Based on Rice Disease Identification

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Plant Diseases and Pests 2024年第2期15卷 9-16页

作者： Mengmeng ZHANG Xiujuan WANG Mengzhen KANG Jing HUA Haoyu WANG Feiyue WANG State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of AutomationChinese Academy of SciencesBeijing 100190China Faculty of Innovation Engineering Macao University of Science and TechnologyMacao 999078China State Key Laboratory for Management and Control of Complex System Institute of AutomationChinese Academy of SciencesBeijing 100190China

In this paper,a variety of classical convolutional neural networks are trained on two different datasets using transfer learning *** demonstrated that the training dataset has a significant impact on the training results,in addition to the optimization achieved through the model ***,the lack of open-source agricultural data,combined with the absence of a comprehensive open-source data sharing platform,remains a substantial *** issue is closely related to the difficulty and high cost of obtaining high-quality agricultural data,the low level of education of most employees,underdeveloped distributed training systems and unsecured data *** address these challenges,this paper proposes a novel idea of constructing an agricultural data sharing platform based on a federated learning(FL)framework,aiming to overcome the deficiency of high-quality data in agricultural field training.

关键词： Rice disease and pest identification Convolutional neural networks Distributed training Federated learning(FL) Open-source data sharing platform

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Reducing Overfitting Risk in Small-Sample Learning with ANN: A Case of Predicting Graduate Admission Probability 1st

Reducing Overfitting Risk in Small-Sample Learning with ANN:...

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1st International Artificial Intelligence Conference, IAIC 2023

作者： Han, Mengjie Cai, Daomeng Huo, Zhilin Shen, Zhao Tang, Lianghu Yang, Shan Wang, Cong School of Marxism University of Electronic Science and Technology of China Chengdu China University of Electronic Science and Technology of China Chengdu China School of Mechanical Engineering and Automation Beihang University Beijing China CSCC System Engineering Research Institute Beijing China The Intelligent Policing Key Laboratory of Sichuan Province Sichuan Police College Luzhou China Department of Chemistry Physics and Atmospheric Sciences Jackson State University JacksonMS United States

ISBN: (纸本)9789819712762

AI-assisted personal educational career planning holds immense promise, especially with artificial neural network algorithms demonstrating significant potential in predicting graduate admission probabilities for specific schools. However, issues like graduate admission probability prediction are typical instances of small-sample learning problems. Overcoming neural network overfitting in small-sample learning is a major challenge. To address this, we first introduce a method that cyclically runs shallow neural networks to avoid the traditional use of a high number of epochs called Cyclic-LightNet(CLN). Secondly, in previous research, a validation set is typically employed to promptly detect overfitting. However, this approach further depletes the actual training data in the dataset. Consequently, we employ a dynamic training method during the training process called Dynamic Training Set Augmentation(DTSA), supplementing the training set with the validation set. This method effectively mitigates the risk of overfitting. Finally, we put CLN and DTSA into practice on publicly available small-sample datasets, achieving precise predictions of graduate admission probabilities. Experimental results demonstrate a significant improvement in prediction accuracy and effective resistance against overfitting risk. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Neural networks

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Application of automated laser seam tracking straight seam welding technology in production

Application of automated laser seam tracking straight seam w...

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2024 International Conference on Precision Instruments and Optical Engineering, PIOE 2024

作者： Qin, Jingchuan Liu, Yongkai Hu, Haoran Liu, Xian Beijing AriTime Intelligent Control Co. Ltd. 6 Fufeng Road Fengtai District Beijing Science and Technology Park Beijing100070 China Automation Research And Design Institute Of Metallurgical Industry Co. LTD. 72 South Fourth Ring Road Fengtai District Beijing100070 China National Key Laboratory of Metallurgical Intelligent Manufacturing System Beijing100081 China Shanxi Limin Industrial Co. Ltd. TaiGu030812 China

ISBN: (纸本)9781510686120

In the manufacturing process of a specific type of conical cylinder, high-frequency argon arc welding is employed for butt welding. The uncertainty of the butt weld position relative to the welding gun results in excessive manual labor during production, leading to suboptimal product qualification rates;Consequently, the implementation of a fusion laser welding seam tracking automated control system was initiated. This system utilizes a PLC to gather various sensor data signals, control servomotors, valves, and motors, thereby establishing a comprehensive automated butt welding tracking control system. Ultimately, this achieves the goals of reducing labor costs, diminishing labor intensity, and enhancing both production efficiency and product quality. © 2024 SPIE.

关键词： Butt welding

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A Review on Nord Pool Electricity Market: From ATC to Flow-based Clearing

A Review on Nord Pool Electricity Market: From ATC to Flow-b...

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2021 IEEE Sustainable Power and Energy Conference, iSPEC 2021

作者： Cui, Hui Li, Yuanyuan Chen, Zhongyang Yu, Mingkai Zhang, Lu Wang, Jianxiao Dispatching Automation Technology China Electric Power Research Institute Beijing Key Laboratory of Research and System Evaluation of Power Beijing China State Grid Shanghai Electric Power Research Institute Urban Energy Internet Research Center Shanghai China North China Electric Power University School of Electrical Electronic Engineering Beijing China China Agricultural University College of Information Electrical Engineering Beijing China

ISBN: (纸本)9781665414395

The Nordic electricity market operated by Nord Pool is a mature cross-regional electricity market, and its operation patterns and technology can provide experience for the electricity market design in other regions. This paper introduces the overview of the Nord Pool market and analyzes its market framework. Then, its clearing model and congestion management method are illustrated, and two models, i.e., available transfer capability (ATC) model and flow-based (FB) model, are compared in detail. Finally, a case study demonstrates the difference between calculation results of these two models. © 2021 IEEE.

关键词： Power markets

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Response-Based Synchronization Stability Analysis of Multi-Converter Power systems 7

Response-Based Synchronization Stability Analysis of Multi-C...

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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Zhou, Yuren Wang, Zihan Li, Gengyin Xia, Shiwei Zheng, Le Ma, Linlin Cheng, Dingyi Wang, Ting State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power Company Shandong China State Grid Shandong Electric Power Research Institute Power Grid Technology Center Shandong China

ISBN: (纸本)9798350345094

With the increasing integration of renewable energy into the power grid, the application of converters in the electrical systems has grown significantly. Due to the nonlinearity, the complexity and the difficult availability of the system models, traditional methods of synchronization stability analysis have revealed limitations and challenges when confronted with modern power systems. Additionally, the prevalence of grid-following converters in the grid leads to a shortage of voltage sources within the system, significantly increasing the risk of grid instability. This paper addresses the issue of synchronization stability analysis of multi-converter power systems, and proposes a response-based method to assess the synchronization stability level of the entire system. Through an analysis of the synchronization stability mechanism of grid-forming converters, a relationship is established between electromotive force, power angle, and node voltages. A quantitative stability evaluation of the system is achieved using the sBTTC index. Case studies show that the proposed response-based method is effective to analyze the synchronization stability of multi-converter power systems, with great practical viability in engineering applications. © 2023 IEEE.

关键词： Electric power system stability

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Comprehensive Diagnosis Method of Large Power Grid Based on Multi-agent Perception of Local Computer-Visualized Power Flow

Comprehensive Diagnosis Method of Large Power Grid Based on ...

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IEEE Asia Power and Energy Engineering Conference (APEEC)

作者： Xingwei Liu Shixiong Fan Yanpin Wang Jingrui Zhang Songyan Wang Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China

For the large grid, a comprehensive fault diagnosis method based on multi-agent perception of the local computer-visualized power flow (CVPF) is proposed. This method first splits the entire network into a number of small sub-networks, and then transforms them into a local CVPFs. Local CVPF is then used to train the convolutional neural networks separately, and finally a multi-agent cluster is formed for comprehensive consultation. First, the retrieval and generation of the radial network was accomplished by defining nodes and branches at all levels. Then, using the fluctuation of the power flow on the branch as an indicator, the multi-agent diagnosis startup strategy was designed. The case study highlighted the problem of false starts of agents in a small observation range, and verified the feasibility of using multi-agent clusters to perceive local CVPF to achieve a comprehensive diagnosis within the jurisdiction and across the jurisdiction. In this process, the precision was used to evaluate the agent's online cross-jurisdiction diagnosis.

关键词： Fault diagnosis Electrical engineering Visualization Fluctuations Simulation Transforms Power grids

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The Method of Improving the Performance of Network Analysis Application for the Whole Power Grid 4

The Method of Improving the Performance of Network Analysis ...

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4th International Symposium on Resource Exploration and Environmental Science, REES 2020

作者： He, Ming Lu, Yi Li, Jing Zhang, Guofang Guo, Guo State Grid Sichuan Electric Power Company Chengdu China Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China

With the rapid development of UHV AC / DC hybrid power grid, it is required that the Network Analysis Application have the ability of unified analysis and high-performance computing. In this paper, the time-consuming analysis of each sub-function of Network Analysis Application is carried out to realize the performance bottleneck analysis of the whole process of network analysis. It is proposed that the performance of network analysis should be improved in three aspects: data input and output, topology analysis and core computing of Network Analysis Application. In the aspect of data input, the grid model data service is constructed to realize the combination of measurement reading and model reading, and the parallel model verification and boundary equivalence are completed;In the aspect of data output, it can be parallelized by table, block and equipment;In the aspect of topology analysis, the shared memory programming model OpenMP is adopted, and based on the fork/join parallel mode, its parallelization is realized;In the aspect of core computing, the existing parallel computing methods are summarized, and through the actual power grid simulation analysis, it puts forward the parallel computing mode applicable to different scale power grids and different applications. Finally, the effectiveness of this method is verified by comparing the optimized performance of state estimation. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Application programming interfaces (API)

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A new anterograde trans-synaptic tracer based on Sindbis virus

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Neural Regeneration research 2022年第12期17卷 2761-2764页

作者： Xiang-Wei Shi Fan Jia Pei Lyu Fu-Qiang Xu State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics Key Laboratory of Magnetic Resonance in Biological SystemsWuhan Center for Magnetic ResonanceInnovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhanHubei ProvinceChina Guangdong Provincial Key Laboratory of Brain Connectome and Behavior CAS Key Laboratory of Brain Connectome and Manipulationthe Brain Cognition and Brain Disease Institute(BCBDI)Translational Research Center for the Nervous System(TRCNS)Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research InstitutionsShenzhenGuangdong ProvinceChina NMPA Key Laboratory for Research and Evaluation of Viral Vector Technology in Cell and Gene Therapy Medicinal Products Key Laboratory of Quality Control Technology for Virus-Based TherapeuticsGuangdong Provincial Medical Products AdministrationShenzhen Key Laboratory of Viral Vectors for BiomedicineShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong ProvinceChina University of Chinese Academy of Sciences BeijingChina Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhanHubei ProvinceChina

Mapping neural circuits is critical for understanding the structure and function of the nervous *** viruses are a valuable tool for tracing neural ***,current tracers do not fully meet the needs for this approach because of various drawbacks,such as toxicity and characteristics that are difficult to ***,there is an urgent need to develop a new tracer with low toxicity and that allows for long-term *** this study,we constructed an engineered Sindbis virus(SINV)expressing enhanced green fluorescent protein(EGFP)reporter gene(SINV-EGFP)and found that it had no significant difference in biological characterization compared with the wild-type Sindbis virus in BHK-21 cells and neurons in *** injected the virus into the visual circuit of mouse brain and found that the virus infected neurons in the local injected site and anterogradely spread in the neural *** the efficiency of transmission was limited,the findings demonstrate that SINV can be used as a new anterograde tracer to map neural circuits in mouse brain and that it spreads exclusively in the anterograde ***,use of SINV in mouse brain research will provide longer time windows for circuit tracing than is possible with herpes simplex virus and vesicular stomatitis virus tracers.

关键词： anterograde lateral geniculate nucleus mouse brains neural circuit neurons retina Sindbis virus superior colliculus synapse tracer

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UHVDC Tie-line Scheduling Model Based on Conditional Value-at-Risk 4

UHVDC Tie-line Scheduling Model Based on Conditional Value-a...

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4th International Conference on HVDC, HVDC 2020

作者： Cai, Zhi Hu, Xiaojing Men, Deyue Zhang, Guofang Sun, Yi Zhang, Dawei Guo, Xiaming Beijing Key Laboratory of Research and System Evaluation of Power Dispatching Automation Technology China Electric Power Research Institute Beijing China State Grid Sichuan Electric Power Supply Company Chengdu China

ISBN: (纸本)9781728175935

There is a growing demand for trans-regional transmission of clean energy such as wind power and photovoltaic power through ultra-high voltage direct current (UHVDC) system. To solve the problem of difficulty in transmission of new energy through UHVDC due to random fluctuations, this paper puts forward a transmission scheme of using the supporting thermal power to smooth power fluctuation of new energy and realize bundled transmission, establishes an integrated tie-line scheduling model of wind power, photovoltaic power and thermal power transmission through UHVDC system, and introduces the conditional value-at-risk (CVaR) theory according to the concept of new energy transmission risk to quantify the new energy transmission risk, for analyzing the new energy transmission capacity of tie-line scheduling under different confidence levels and risks. The model is applied to a practical calculation example, and the calculation result shows the effectiveness of the proposed method. © 2020 IEEE.

关键词： Scheduling

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