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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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An anonymous authentication mechanism based on zero-knowledge proof for power system 2

An anonymous authentication mechanism based on zero-knowledg...

引用

2nd International Symposium on Computer Applications and Information Systems, ISCAIS 2023

作者： Liu, Shenglong Zhang, Ge Jiang, Jiawei Zhou, Xin Yang, Ruxia Big Data Center of State Grid Corporation of China China State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology Nanjing210003 China State Grid Smart Grid Research Institute Co. Ltd. Nanjing210003 China

ISBN: (纸本)9781510666665

With the application of new technologies such as Internet of things and big data in smart grid industry, new power systems based on new energy sources have emerged in response to the call of "Peak carbon, carbon neutrality". The power grid enterprise concentrates the data assets and business access to the data external service, which needs to connect a large number of data sources. Ensuring the authenticity of the data without tampering becomes a big challenge. The power system adopts the identity authentication mechanism to resist the security attack and protect the sensitive data. However, in the process of user authentication, the sending of real identity information will lead to the reduction of system privacy, which is easy to cause the leakage of sensitive data. This paper proposes an anonymous authentication mechanism based on zero-knowledge proof for power system, which authenticates the server without revealing the identity. This mechanism uses zero-knowledge proof algorithm to design an anonymous authentication protocol framework, which consists of three stages: registration, mutual authentication and revocation. In this method, anonymous certificate and elliptic curve encryption technology are used to realize the anonymity and authenticity of users. The mechanism effectively protects the user’s real identity information and maintains the sensitive data in the power system. © 2023 SPIE.

关键词： Sensitive data

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Automatic Generation of security Policy Based on Standardized security Configuration

Automatic Generation of Security Policy Based on Standardize...

引用

2023 International Conference on Computer Network security and Software Engineering, CNSSE 2023

作者： Xi, Zesheng Zhang, Bo Zhou, Bo Zhong, Xiangyu Zhou, Juan State Grid Smart Grid Research Institute co. Ltd. Nanjing China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Nanjing China Hunan SGIT Technology co. Ltd. Hunan China

ISBN: (数字)9781510666528

ISBN: (纸本)9781510666511

Automatic protection is an emerging topic in the field of network security. With the increasingly large scale of computer network system, the network threats we face are becoming more and more serious, and the complexity of network environment is also increasing. Obviously, manual security management is no longer suitable. Therefore, many scholars point out that automatic configuration of security policies can be carried out by building automatic generation system of security policies, and then can manage network devices easily. This paper proposes an automatic policy construction method based on security configuration intention and policy mapping model, including the establishment of standardized security configuration intention database, formal description of security configuration policy, and standardized security configuration intention and policy mapping. © 2023 SPIE.

关键词： Network security

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Research on the Integration and Fusion technology of Distribution Network Data Resources Considering New Energy 6

Research on the Integration and Fusion Technology of Distrib...

引用

6th International Conference on Information Technologies and Electrical Engineering, ICITEE 2023

作者： Qiao, Junfeng Zhou, Aihua Peng, Lin Wang, Yiqing Shen, Xiaofeng Pan, Sen Yang, Pei State Grid Laboratory of Power Cyber-Security Protection Monitoring Technology State Grid Smart Grid Research Institute Co. Ltd China Xuzhou Power Supply Company State Grid Jiangsu Electric Power Co. Ltd China Qingpu Power Supply Company State Grid Shanghai Municipal Electric Power Company China

ISBN: (纸本)9798400708299

The essence of the construction and development of new power systems is to improve the functionality and performance of existing power systems, and the distribution network is the key to the functionality of the power system. Therefore, the upgrading and optimization of the distribution network is the key to the success of the modern energy revolution, and the development of the distribution network is also faced with management and technical challenges brought by new equipment and resources. This article proposes a distribution network data resource integration and fusion method that takes into account new energy, integrating the constantly emerging new power equipment and facilities as well as their corresponding data resources into existing power information management systems. Using the integrated distribution network data platform as the data base to support the deepening and development of distribution network business applications. Firstly, the data description characteristics of the new power equipment and facilities are sorted out, and the description rule system is extracted using the methods of power equivalence processing and equipment profiling. Due to the lack of standardized description rules for new energy equipment, it is necessary to reorganize and construct a corresponding description rule system. Then map and correspond its description rules with existing power information description rules, find its mapping method, and build a mapping rule library. Finally, based on the mapping rule library, the fusion of new energy data and existing distribution network data resources is achieved, and the accuracy and applicability of data resource fusion are verified by selecting real data from business application scenarios. © 2023 ACM.

关键词： Electric power distribution

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Research on high performance analysis technology of distribution network digital twin based on parallel acceleration

Research on high performance analysis technology of distribu...

引用

2024 International Conference on Electronics, Electrical and Information Engineering, ICEEIE 2024

作者： Qiao, Junfeng Peng, Lin Zhou, Aihua Chen, Yun Qian, Zhonghao Pan, Sen Yang, Pei State Grid Laboratory of Power cyber-Security Protection & Monitoring Technology State Grid Smart Grid Research Institute Co. Ltd. Jiangsu Nanjing210003 China Pudong Power Supply Company of State Grid Shanghai Electric Power Company Pudong Shanghai200122 China Nantong Power Supply Company of State Grid Jiangsu Electric Power Co. Ltd. Jiangsu Nantong226006 China

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

The digital twin model of distribution network has been widely used in power maintenance and equipment status monitoring, but the data update speed of the digital twin model is limited by technologies such as data collection and data management, and the real-time analysis ability of the digital twin model is insufficient. In response to this issue, this paper proposes a high-performance digital twin analysis technique for distribution networks based on parallel acceleration. Analyze the application scenarios of the digital twin model in the distribution network and identify the data request characteristics of the digital twin model. Classify and identify model data resources based on the data request features in the digital twin model, and construct corresponding data storage carriers based on the classification identification results. The same type of data request access only requires extracting data from a fixed data storage carrier, and various types of data call requests do not interfere with each other, thus achieving parallel data calls. Then upgrade different data storage carriers, construct corresponding memory areas for each data storage space, and improve the input and output performance of each data storage carrier. Based on this, the optimized digital twin model will be applied to the maintenance of power equipment, integrating historical and real-time data of power equipment maintenance, conducting analysis and application of power equipment maintenance, and verifying the effectiveness of the method. © 2024 SPIE.

关键词： Photons

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Optimization method for equipment maintenance plan for power supply service command

Optimization method for equipment maintenance plan for power...

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2024 International Conference on Electronics, Electrical and Information Engineering, ICEEIE 2024

作者： Qiao, Junfeng Zhou, Aihua Peng, Lin Chen, Yun Qian, Zhonghao Xu, Min Pan, Sen Yang, Pei State Grid Laboratory of Power cyber-Security Protection & Monitoring Technology State Grid Smart Grid Research Institute Co. Ltd. Jiangsu Nanjing210003 China Pudong Power Supply Company of State Grid Shanghai Electric Power Company Pudong Shanghai200122 China Nantong Power Supply Company of State Grid Jiangsu Electric Power Co. Ltd. Jiangsu Nantong226006 China

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

The goal of power supply service command is to solve the problems encountered by users during the electricity consumption process with high efficiency. Users often encounter equipment failures, load exceeding limits, voltage instability, and other issues during the electricity consumption process, and equipment failures are the most frequent events that occur during the electricity consumption process. The existing equipment maintenance process is analyzed by decision-makers from the power supply service command center based on the received user repair needs, and then work tasks are assigned to maintenance service personnel. However, this mode has the problem of excessive manual intervention and low efficiency. The article proposes an optimization method for equipment maintenance plan for power supply service command, analyzing the equipment maintenance plan from the perspectives of driving path of service personnel, allocation of repair resources, and vehicle availability coefficient. Take the importance of regional load, the ability of power supply service personnel, and the completeness rate of materials as input parameters for the design of emergency repair plans. Then design an evaluation function for the emergency repair plan, with the upper limit of the repair time as the constraint of the plan, and solve for the optimal emergency repair plan. This method searches for multiple possible combination schemes among the resources required for existing equipment maintenance, and evaluates the feasibility of the schemes through evaluation models to optimize the existing equipment maintenance schemes and improve the efficiency of equipment maintenance. © 2024 SPIE.

关键词： Cutting tools

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Design of digital twin technology architecture for electric power supply service command collaboration

Design of digital twin technology architecture for electric ...

引用

2024 International Conference on Electronics, Electrical and Information Engineering, ICEEIE 2024

作者： Qiao, Junfeng Zhou, Aihua Peng, Lin Chen, Yun Qian, Zhonghao Xu, Min Pan, Sen Yang, Pei State Grid Laboratory of Power cyber-Security Protection & Monitoring Technology State Grid Smart Grid Research Institute Co. Ltd. Jiangsu Nanjing210003 China Pudong Power Supply Company of State Grid Shanghai Electric Power Company. Pudong Shanghai200122 China Nantong Power Supply Company of State Grid Jiangsu Electric Power Co. Ltd. Jiangsu Nantong226006 China

ISBN: (数字)9781510686809

ISBN: (纸本)9781510686793

With the advancement of the reconstruction of new distribution networks, new energy is continuously integrated into the power grid, and the utilization of power grid resources and production development are gradually becoming more complex and high-dimensional. power supply service command needs to coordinate multiple application systems such as dispatch control, equipment management, and customer service, in order to improve the service quality of electricity demand for users. In response to this issue, this paper proposes a digital twin technology architecture for collaborative application of power supply service command. Due to the rapid updating of the status and location of resources involved in power supply service command coordination, and the need for accurate analysis of these rapidly changing resources in command coordination, relatively accurate decision-making conclusions can be given based on this. Therefore, digital twin technology is adopted to describe all resources involved in power supply service command and coordination, and to obtain the status recognition of various power grid resources through data collection and information transmission communication technology. Then, in the analysis layer of the digital twin model, fault analysis algorithms, power outage range analysis, power supply reliability analysis and other analysis algorithms are introduced to enhance the support effectiveness of the digital twin model for power supply service command coordination. © 2024 SPIE.

关键词： Reliability analysis

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Research and implementation of abnormal outage behavior prediction and analysis system based on digital twinning technology 3

Research and implementation of abnormal outage behavior pred...

引用

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

作者： Qiao, Junfeng Peng, Lin Zhou, Aihua Ou, Zhujian Xu, Xiaoyi Zhu, Fuyun 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 Co. LTD Jiangsu Nanjing210014 China

ISBN: (纸本)9781510671423

Electric power failure is the most common problem in power supply, and it is also one of the biggest problems for customers. From the perspective of power management, blackouts can be divided into fault blackouts and planned blackouts. There are three types of reasons for failure and power failure. One is overload of public transformer and special transformer, iron core grounding and lightning breakdown. The other is drop fuse failure and lack of equivalence for special transformer users. The last is power failure for residential users, line disconnection after meter, short circuit, leakage switch failure, etc. For planned outage, it is mainly caused by planned maintenance and repair according to the operation cycle of power line equipment. Among them, planned power outages are controllable, and the power management unit notifies the power customers in advance. However, the failure of power outages usually causes certain damage to the power customers, so it has certain harmfulness. In view of the above problems, this paper uses digital twinning technology to analyze the causes of failure and outage, and uses digital technology to carry out failure and outage prediction to reduce the losses caused by failure and outage. © 2023 SPIE.

关键词： Forecasting

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Research and implementation of a digital twin model reconstruction method for distribution network based on intelligent adaptation 3

Research and implementation of a digital twin model reconstr...

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

作者： Qiao, Junfeng Peng, Lin Zhou, Aihua Ou, Zhujian Xu, Xiaoyi 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 Co. LTD Jiangsu Nanjing210014 China

ISBN: (纸本)9781510671423

Currently, there have been many studies on digital twin models and analysis algorithms for power application scenarios. These studies mainly focus on building digital twin models for static power equipment and existing historical data. With the positive development of China's economic situation, the number of electricity customers continues to grow, and the scale of corresponding power supply facilities and equipment is also expanding. Accordingly, digital twin models built for static power grid equipment and facilities and power grid structures have to be updated to meet new model application requirements. To address this issue, this paper proposes an intelligent adaptive digital twin model reconstruction method for distribution networks, which reconstructs and optimizes existing digital twin models and reduces the cost of model construction. Reconstruction of the digital twin model for distribution network equipment requires first extracting the basic data of the distribution network equipment, including equipment nameplates, geographic information, and point cloud scanning data. Then, by using the equipment as the identifier, multi-source heterogeneous data across topics are fused. Finally, based on probabilistic and statistical methods, the data structure within the model is reconstructed and optimized for grid business data requests. © 2023 SPIE.

关键词： Electric power distribution

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Research on the application of statistical theory and Monte-Carlo method on disconnector seismic damage analysis 3

Research on the application of statistical theory and Monte-...

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3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing, CAMMIC 2023

作者： Yan, Yiran Wang, Tianyu Liu, Zeyu Yao, Yuan Feng, Jie Yu, Zhen State Grid Smart Grid Institute Co. Ltd. Beijing102209 China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology Beijing102209 China State Grid Corporation of China Beijing100031 China State Grid Tianjin Electric Power Company Tianjin300010 China

ISBN: (数字)9781510667617

ISBN: (纸本)9781510667600

In order to analyze quantitatively the seismic damage on disconnectors, a fragility curve is built by case investigation according to the statistical theory and simulations are carried out by Monte-Carlo method. The fragility curve describes the relationship between the earthquake impact level and the damage probability. A regional electric power grid with three substations is selected as an example to calculate the disconnectors damage probability under seismic magnitude M=6, 6.5, 7, 7.5 and 8. Earthquake occurrence is simulated by Monte-Carlo method. The results indicate that the damage probability increases with the increase of seismic magnitude. The damage probability for disconnectors in substation A is 0.14 approximately when M=6 while rises up to 0.30 approximately when M=8. In addition, the epicenter distance is another main parameter which determines the damage probability. The damage probability for disconnectors in substation A is higher than substation B and C under same seismic magnitude because of the smaller epicenter distance. This paper proposed a way to build fragility curve on the basic of statistical theory, and gives references to the risk analysis, damage control and emergency management. © 2023 SPIE.

关键词： Monte Carlo methods

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Classification and Grading for power Sensitive Data Based on Hybrid Data Distribution Learning 11

Classification and Grading for Power Sensitive Data Based on...

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11th Joint International Information technology and Artificial Intelligence Conference, ITAIC 2023

作者： Huang, Xiuli Zhai, Yujia Shi, Congcong Jiang, Yiwen Zhang, Shijun 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 Jibei Electric Power Co. LTD. Beijing China

ISBN: (纸本)9798350333664

power industry data contain various sensitive information, and the leakage of such data will cause critical damage to both the company and the country. However, the unbalanced and various data types make the traditional data classification and grading method fail to achieve enough performance. To better classify and grade the power sensitive data, we propose a Hybrid Data Distribution Learning Network, which simultaneously learns the distribution of multiple data types, including Character-based, Text-based, and Numerical data. Furthermore, we use an optimized nonlinear Support Vector Machine model to detect the grade of power data based on the learned data distribution. The experimental results show that our method outperforms other baselines and achieves a precision of 0.994, a recall of 0.985, and an F1 of 0.989. The visualization results also show that our method effectively learns the distribution of multiple types of power data. © 2023 IEEE.

关键词： classification and grading hybrid data distribution learning network nonlinear SVM model sensitive power data

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