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检索条件"机构=State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology"

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Research and implementation of electric distribution network data fusion method considering new energy 7

Research and implementation of electric distribution network...

引用

7th International Conference on Mechatronics and Intelligent Robotics, ICMIR 2023

作者： Qiao, Junfeng Zhou, Aihua Peng, Lin Huang, Chenhong Pan, Sen Yang, Pei Gu, Hua State Grid Laboratory of Power Cyber-Security Protection & Monitoring Technology State Grid Smart Grid Research Institute Co.LTD Nanjing Jiangsu210003 China Qingpu Power Supply Company State Grid Shanghai Electric Power Company Shanghai201799 China

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

Due to the diversity of data types and data organization methods of electric multi-source heterogeneous data, the organization and storage requirements of heterogeneous data are also different, so the difference of heterogeneous data must be considered for data integration and fusion, the integration and fusion level of power distribution and distributed new energy data resources needs to be improved. The distribution network data resources including electrical equipment, spatial information, grid topology, power consumption information, operating conditions and other types of resources, taking into account the new energy, are obviously different in terms of quantity, scale, data model, data type, organization mode and other aspects. The data of distribution network and distributed energy comes from business systems in multiple professional fields, and there is a strong correlation between data resources at the business level. However, due to the certain independence between the data of various business systems for power distribution and the differences in field definitions and descriptions, traditional key field matching methods are difficult to achieve automatic data matching, and data fusion across business systems is faced with the problem of no uniform rules to follow. © 2023 SPIE. All rights reserved.

关键词： Data integration

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Research and Implementation of Multi Fusion Data Model Construction technology for Distribution Network Digital Twins 5

Research and Implementation of Multi Fusion Data Model Const...

引用

5th International Conference on Decision Science and Management, ICDSM 2023

作者： Qiao, Junfeng Peng, Lin Zhou, Aihua Ou, Zhujian Mao, Yanfang Pan, Sen State Grid Smart Grid Research Institute Co. Ltd State Grid Laboratory of Power Cyber-Security Protection & Monitoring Technology Nanjing210003 China State Grid Jiangsu Electric Power Co. Ltd Nantong Power Supply Company Nanjing210014 China

ISBN: (纸本)9798350325010

The core of digital twin is the digital reconstruction of physical space, that is the physical space perception and processed data are applied to the virtual space to achieve real-time mapping of physical space through full integration of data. With the rapid development of digital twin technology in the power field, in order to achieve the purpose of real-time data fusion of physical space and virtual space in the digital twin of distribution network, the virtual and real data fusion processing technology for digital twin has become the focus of research in the power field. In this paper, firstly, the characteristics and ontology technology of power digital twin virtual and real data are studied, and an ontology based virtual and real data fusion architecture is proposed. Then, a semantic feature extraction method is proposed for the structured and unstructured virtual and real data of power digital twin, and the extracted semantic features are formatted, described and stored. Then the overall architecture of the distribution network digital twin virtual real data fusion system is designed, the technical route of the system is analyzed and discussed, and the virtual real data fusion processing is completed using the similarity algorithm and fusion rules based on the elements between ontology. Finally, the functional modules of the distribution network digital twin virtual real data fusion system are divided and introduced, and the digital twin virtual real data fusion of the fan hub casting process is verified as an example. © 2023 IEEE.

关键词： Electric power distribution

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Research and implementation of unified management method for power distribution and distributed new energy data resources 3

Research and implementation of unified management method for...

引用

3rd International Conference on Electronics, Electrical and Information Engineering, ICEEIE 2023

作者： Qiao, Junfeng Zhou, Aihua Peng, Lin Shen, Xiaofeng Chen, Jingde Gu, Hua State Grid Laboratory of Power cyber-Security Protection & Monitoring Technology State Grid Smart Grid Research Institute Co.LTD Jiangsu Nanjing210003 China Qingpu Power Supply Company State Grid Shanghai Municipal Electric Power Company Shanghai201799 China

ISBN: (纸本)9781510671423

The physical types of equipment in the distribution network are diverse and the quantity is huge. This is because the distribution network requires a large number of various types of power supply and other auxiliary equipment such as substations to provide power supply services for electricity customers, resulting in a very rich and diverse data resources in the distribution network. Moreover, with the continuous integration of new energy sources, the distribution network has become increasingly complex, not only increasing the dimensions of operational management, but also facing huge challenges in data resource management. This paper proposes a unified management method for power distribution and new energy data resources, which manages a large number of non digital data and unstructured data such as file text in the distribution network in a unified manner, integrates heterogeneous data from different business systems, solves data quality problems caused by management, data processing and other reasons, meets the data management needs of power grid enterprises, and promotes Digital transformation of enterprises. On the basis of achieving unified management of data resources in the distribution network, the deep mechanisms between data resources are explored to reveal the operational laws and characteristics of the distribution network. At the same time, data analysis algorithms are used to mine distribution network data, design and implement distribution network business analysis functional modules, and upgrade distribution network data management from digitalization to intelligence. © 2023 SPIE.

关键词： Information management

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Research and Application of Distribution Network Planning Based on Digital Twinning technology 5

Research and Application of Distribution Network Planning Ba...

引用

5th International Conference on Decision Science and Management, ICDSM 2023

作者： Qiao, Junfeng Peng, Lin Zhou, Aihua Ou, Zhujian Xu, Xiaoyi Zhu, Fuyun State Grid Smart Grid Research Institute Co. Ltd State Grid Laboratory of Power Cyber-Security Protection & Monitoring Technology Nanjing210003 China State Grid Jiangsu Electric Power Co. Ltd Nantong Power Supply Company Nanjing210014 China

ISBN: (纸本)9798350325010

To satisfy the requirement of electric distribution grid planning brought by the forward annual electricity consumption growth and power grid expand, to determine where, when, and which type of substations, lines or distributed electric power generation device will be built. The future distribution network planning must adopt electric power flow, dynamic change of load and new distributed power generation in various directions, and build an electric distribution grid with grid structure. The results of distribution network planning has a huge impact on the operation efficiency of the power grid, the safety of electricity use, and the allocation of asset investment. This paper uses digital twinning, advanced computing and other technologies to divide and evaluate the scope of power supply, load characteristics, and user demand, and the scale of power facilities. With the power supply reliability demand as the core, it plans and builds a target network framework with high voltage quality, reasonable structure, flexible operation, and unified grid division standards, effectively giving play to the key role of planning in the construction and operation of distribution networks. © 2023 IEEE.

关键词： Distributed power generation

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Design of a Data Provenance Scheme with Virtual Tuple-Based Database Watermarking

Design of a Data Provenance Scheme with Virtual Tuple-Based ...

引用

2023 China Automation Congress, CAC 2023

作者： Wang, Qi Zhou, Aihua Wang, Yiqing Zheng, Zhen Jiang, Jing Yang, Ruxia State Grid Smart Grid Research Institute Co. LTD State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing China State Grid XuZhou Power Supply Company Xuzhou China Qingpu Power Supply Company State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798350303759

The security of power grid is closely related to national security and social stability. With the development of smart grid and big data, grid data security has ushered in new challenges. The data provenance is one of the key issues. Considering the complexity of grid data storage types, this paper designs a virtual tuple-based data provenance scheme. This scheme firstly embedding the watermark with user identity through virtual tuple injection. Then, the data with watermark is distributed in the form of table splitting, which makes it possible to quickly locate the suspect user when a data leakage event occurs. Finally, the leaker is identified through watermark extraction and comparison. The simulation experiments show that our scheme has good robustness against insertion, replacement and deletion attacks. © 2023 IEEE.

关键词： National security

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A comprehensive assessment method for the power structured data classification and grading based on hierarchical analysis 5

A comprehensive assessment method for the power structured d...

引用

5th International Conference on Communications, Information System and Computer Engineering, CISCE 2023

作者： Zhai, Yujia Huang, Xiuli Shi, Congcong Liu, Shenglong Zhang, Hao State Grid Smart Grid Research Institute Co. LTD State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing China Big Data Center of State Grid Corporation of China Beijing China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350326796

With the transformation of the digital development of power grids, the classification and grading of structured data for electricity is an important basis for data security protection. Existing methods for assessing data classification and grading results are mostly always based on individual indicators of the model's operational results. However, such methods can only evaluate a single performance indicator of that result, and cannot provide a comprehensive evaluation of all performance indicators. This paper proposes a comprehensive assessment method for the power structured data classification and grading based on hierarchical analysis, which allows various quality elements of the model to be extracted according to different needs, establishes a hierarchical indicator system, and determines the weights of each indicator in the system by means of hierarchical analysis, and finally calculates a comprehensive quality score for the classification and grading results. Finally, the method is systematically validated using different classification and grading models. © 2023 IEEE.

关键词： Grading

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Application research of distribution network operation analysis method based on digital twin technology 3

Application research of distribution network operation analy...

引用

3rd International Conference on Electronics, Electrical and Information Engineering, ICEEIE 2023

作者： Dong, Shiwen Yu, Hai He, Zhimin Ou, Zhujian Mao, Yanfang State Grid Laboratory of Power cyber-Security Protection & Monitoring Technology State Grid Smart Grid Research Institute Co.LTD. Jiangsu Nanjing210003 China Nantong Power Supply Company State Grid Jiangsu Electric Power Supply Co. LTD China

ISBN: (纸本)9781510671423

The operation of the distribution network mainly depends on the lines, grids, equipment, and customer electricity usage in the distribution network. The safe and reasonable operation of the entire process is the key to the success of the distribution network operation. Analyzing the relevant indicators of distribution network operation can provide decision-making data support for the power supply management department. The monitoring of operational indicators in the distribution network is the fundamental guarantee for the safe, orderly, healthy, and efficient coordination of power grid operations, which can significantly improve the service and management capabilities of business departments. Digital twin technology provides high-precision data base support for operational monitoring and control in the power grid, and ensures the real-time and effectiveness of data models based on intelligent collection terminals. grid operation and regulatory personnel can observe and analyze the operation of power equipment and facilities in reality through digital twin models. And use the basic algorithms of the model to deduce and predict real power data, and make plans for potential faults and risks based on the results of the deduction and prediction. This article proposes a distribution network operation analysis method based on the digital twin model. The digital twin model is applied to the analysis and mining of distribution network operation data, and relevant demonstration applications are carried out. The analysis method is optimized and improved based on the application effect. © 2023 SPIE.

关键词： Electric power distribution

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Device Identification based on Network Traffic Fingerprint 2

Device Identification based on Network Traffic Fingerprint

引用

2nd International Conference on Artificial Intelligence and Intelligent Information Processing, AIIIP 2023

作者： Wu, Tianqi Zhou, Xiaoming Wu, Hongbin Zhang, Daojuan Zhang, Yingjie Han, Xiao State Grid Smart Grid Research Institute Co. Ltd. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Beijing China State Grid Liaoning Electric Power Supply Co. Ltd. Operations Safety and Technology Department Liaoning China

ISBN: (纸本)9798350371451

The devices connected to the LAN have the security risk of being counterfeited and remotely controlled. To identify and understand the devices in the network in advance, the administrator can monitor and handle the abnormal devices in advance. At present, the device recognition method based on deep learning has some limitations. In this paper, the fingerprint information related to the device type is extracted from the network traffic, and the deep learning algorithm based on graph neural network is used to deeply mine the traffic feature hiding relationship between devices, and effectively identify various device types and device models. The effect of the model in this paper on the task of device identification of public data sets has been greatly improved. © 2023 IEEE.

关键词： Deep learning

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BertHTLG: Graph-Based Microservice Anomaly Detection Through Sentence-Bert Enhancement 20th

BertHTLG: Graph-Based Microservice Anomaly Detection Through...

引用

Proceedings of the 20th Web Information Systems and Applications Conference, WISA 2023

作者： Chen, Lu Dang, Qian Chen, Mu Sun, Biying Du, Chunhui Lu, Ziang State Grid Smart Grid Research Institute Co. Ltd Nanjing210003 China State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing210003 China State Grid Gansu Information & Telecommunication Company Lanzhou China

ISBN: (纸本)9789819962211

Microservice systems in the industry typically comprise a large-scale distributed architecture with numerous services running on different machines. Anomalies caused by cyber attacks or other factors within such a system are often reflected in different logging systems. Existing log-based approaches for anomaly detection mainly rely on a single type of logs. To address these limitations and enhance anomaly detection, we propose BertHTLG, an approach for detecting microservice anomalies using a heterogeneous graph representation enhanced by Sentence-Bert. It leverages the heterogeneous graph representation to capture the intricate structure and heterogeneity of traces along with the embedded log events. Our approach employs RGCN based on a deep Support Vector Data Description (SVDD) model. By calculating the distances between anomalous traces and the center of the hypersphere using the trained model, we can effectively identify and distinguish anomalous traces. Evaluation on a microservice benchmark demonstrates that BertHTLG achieves remarkable precision (98.5%), recall (99.2%), and F1-Score (98.8%), surpassing state-of-the-art approaches for trace/log anomaly detection with an increase of 3.4% in F1-score. These results validate the effectiveness of BertHTLG, the contribution of the heterogeneous graph representation, and the influence pre-trained language model. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Anomaly detection

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Research on Secure Data Circulation and Sharing protection technology Framework for power monitoring System

Research on Secure Data Circulation and Sharing Protection T...

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2023 International Conference on Networking and Network Applications, NaNA 2023

作者： Huang, Weicong Zhou, Jieying Jin, Minghui Han, Zheng Wei, Sijia State Grid Smart Grid Research Institute Co. LTD. State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing China National Power Dispatching and Control Center State Grid Corporation of China Beijing China State Grid Shanghai Municipal Electric Power Company Shanghai China

ISBN: (纸本)9798350327380

With the increasing frequency of data circulation and sharing in power monitoring systems, traditional network-centric protection strategies are insufficient to resist the growing risk of data leakage. This article analyzes the security risks in existing typical data circulation and sharing scenarios based on the demand for data security sharing in power monitoring systems. A data security protection technology framework covering the source layer, interaction layer, and terminal layer has been proposed from the perspectives of basic protection capabilities and key protection technologies, as well as an evaluation method for the protection technology capabilities of data circulation and sharing. This provides a reference idea for effectively enhancing the data circulation and sharing protection capabilities of power monitoring systems. © 2023 IEEE.

关键词： Risk perception

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