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cyber Science and technology Congress (cyberSciTech), IEEE

作者： Cheng Zhou Xiaojuan Guan Chen Wang Wen Ji Chenhan Lin State Grid Laboratory of Power cyberSecurity Protection and Monitoring Technology China Electric Power Research Institute Co. Ltd Nanjing China State Grid Fujian Information & Telecommunication Company State Grid Fujian Electric Power Co.Ltd Fujian China

ISBN: (数字)9798331532093

ISBN: (纸本)9798331532109

In order to solve the resource management challenge of cloud service center when the user demand peaks periodically, reduce resource waste and energy consumption, improve resource utilization and system performance, a scheduling algorithm based on multi-objective optimization is proposed in this paper. Firstly, this paper analyzes the main problems of current cloud computing resource scheduling, constructs an adaptive virtual resource scheduling framework, establishes a multi-objective scheduling optimization model, and ensures the balance of resource allocation by quantifying task levels and establishing a “task-virtual node” allocation model. To solve the model, a load-balancing strategy based on improved particle swarm optimization (PSO) was proposed to improve resource utilization and reduce energy consumption. Other scheduling factors that need to be considered in the actual scheduling environment, including computing cost, load, task completion time, and convergence speed, are further studied and improved in the experiment. Based on the above scheduling factors, multi-objective optimization of cloud computing resource scheduling is carried out to achieve the optimal comprehensive performance of cloud computing task scheduling. Finally, through simulation experiments, it is verified that the algorithm has better performance in terms of cost, load, task completion time, convergence speed, and CPU consumption, especially when the task volume increases; it can balance the load and reduce energy consumption more effectively.

关键词： Cloud computing Energy consumption Costs Scheduling algorithms Computational modeling Resource management Particle swarm optimization Optimization Convergence Load modeling

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Research on the Application of Large Language Models in Shore power Management Decision 4

Research on the Application of Large Language Models in Shor...

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4th International Conference on Intelligent power and Systems, ICIPS 2024

作者： Fu, Rong Jiao, Yannan Chen, Dalei Lan, Zhengyin Hu, Weimin Qu, Jie China Three Gorges University Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering 443002 China Yichang Power Supply Company of State Grid Hubei Electric Power Co. Ltd. Yichang443002 China China Three Gorges University College of Computer and Information Technology Yichang443002 China Yichang Power Supply Company of State Grid Hubei Electric Power Co. Ltd. Yichang443000 China The Third Research Institute The Ministry of Public Security Shanghai China

ISBN: (纸本)9798331532765

To ensure both quality and efficiency of the shore power operation and maintenance system, the value of big data of shore power operation and maintenance can be continuously exploited by the digital transformation operation with the state of art large language model technology. This paper discusses the two main tasks in shore power management decision, namely the construction of shore power operation and maintenance knowledge base and the in-depth mining of shore power operation. It analyzes the technical features and applications of the typical models of large model technology. Finally, it discusses the prospect of large model application in the power industry shore power management decision application and proposes a management framework for large model application. © 2024 IEEE.

关键词： data mining Generative Pre-trained Transformer large model shore power management

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Anomaly Detection Model for Data Interactions Based on Temporal Features in Electric power Data Centers

Anomaly Detection Model for Data Interactions Based on Tempo...

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Communication, Image and Signal Processing (CCISP), International Conference on

作者： Pengfei Yu Xiaoming Zhou Longdan Chen Jun Qi Liang Bai State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co.LTD Nanjing China State Grid Liaoning Electric Power Supply Company Limited Shenyang Liaoning China Beijing University Of Posts and Telecommunications Beijing China State Grid Liaoning Electric Power Supply Co. LTD. Information & Telecommunication Branch Shenyang Liaoning China

The current power data centers face the risk of data leakage during the data exchange process. Given the increasing scale and complexity of power data centers, traditional methods for identifying anomalies in the temporal characteristics of data interactions are not applicable. However, there is currently no specific model available for identifying abnormal data interaction behavior in the context of power data centers. Directly using existing models would result in low efficiency and fail to meet the requirements of power data center systems. This article proposes a model, VAE-GAN, for identifying abnormal data interaction behavior with multivariate temporal characteristics specifically designed for power data center business scenarios. The Variational Auto Encoder (VAE) architecture allows the model to learn in an unsupervised manner. The use of Generative Adversarial Networks (GAN) and their architecture helps address the drawbacks of VAE networks in terms of smoothness and reconstruction ability in latent spaces, thereby improving the model's generation and reconstruction performance. Experiments were conducted on a dataset provided by a power company to study the effectiveness of the VAE-GAN method in power data center business scenarios. The results demonstrate its usability in the context of power data centers.

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Deep Integration and Learning of Measurement Data in Active Distribution power Networks for Load Flow Estimation Considering Incomplete Information

Deep Integration and Learning of Measurement Data in Active ...

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China International Electrical and Energy Conference (CIEEC)

作者： Ruisheng Diao Aihua Zhou Ruiyuan Zeng Anqi Wang Xiaofeng Shen Jingde Shun Hua Gu State Key Laboratory of Clean Energy Utilization ZJU-UIUC Institute Zhejiang University Haining Zhejiang China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. LTD. Nanjing Jiangsu China ZJU-UIUC Institute Zhejiang University Haining China Qingpu Power Supply Company Stage Grid Shanghai Municipal Electric Power Company Shanghai China

To reach the goals of carbon peaking by 2030 and carbon neutrality by 2060 in China, a growing penetration of PV generation is integrated into the modern distribution power grid, causing challenges in operating the grid to meet security requirements due to the increased dynamics and stochastics. A deep neural network (DNN)-based method is proposed in this paper for estimating load flow solutions in active distribution power networks that typically suffer from incomplete measurements. Adaptive DNN models are trained from massive historical observations obtained from actual measurements or high-fidelity simulations, whose hyperparameters are tuned automatically. Comprehensive case studies are conducted on the IEEE 123-node feeder model with renewable generation considering various levels of missing information as inputs, which validate the effectiveness and robustness of the proposed method.

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An Intelligent Multi-Source Data Clustering and Analysis Method for AC/DC Hybrid power grid Planning with Increased Complexity

An Intelligent Multi-Source Data Clustering and Analysis Met...

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China International Electrical and Energy Conference (CIEEC)

作者： Tu Lan Aihua Zhou Ruisheng Diao Fangyuan Sun Ruiyuan Zeng Xiaofeng Shen Chenhong Huang Zhen Zheng ZJU-UIUC Institute Zhejiang University Haining Zhejiang China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co. LTD. Nanjing Jiangsu China State Key Laboratory of Clean Energy Utilization ZJU-UIUC Institute Zhejiang University Haining Zhejiang China Qingpu Power Supply Company Stage Grid Shanghai Municipal Electric Power Company Shanghai China

In order to better analyze the response characteristics of an AC/DC hybrid power grid with increased complexity following various types of disturbances, this paper proposes an intelligent method for clustering dynamic responses of multi-source data obtained from actual measurements or high-fidelity simulators. Base cases for AC/DC hybrid power grid planning students are created first, and a list of high-impact contingencies is searched using a graph algorithm. Then, the electromechanical-electromagnetic hybrid simulation method is adopted to create multi-source simulation data in terms of dynamic voltage, frequency, etc. An unsupervised learning algorithm and cluster analysis are then conducted to extract key features of dynamic response characteristics of the AC/DC hybrid power grid and create specific cluster labels. Advanced analysis, e.g., fast evaluation of risks from multi-source steady-state data, can then be enabled for further analysis. The proposed approach's effectiveness is verified on the actual AC/DC power grid model in East China.

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Remote Attestation for Intelligent Electronic Devices in Smart grid Based on Trusted Level Measurement

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Chinese Journal of Electronics 2020年第3期29卷 437-446页

作者： WANG Yong LI Jun'e CHEN Xiong LIN Hai YU Fajiang LUO Jianbo Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and Engineering Wuhan University NARI Group Corporation State Grid Electric Power Research Institute NARI Technology Co.Ltd. State Key Laboratory of Smart Grid Protection and Control

To reduce the implementation complexity and excessive overhead caused by remote attestation,we propose a new remote attestation scheme based on trusted level measurement considering the limited system resources of the Intelligent electronic devices(IEDs) in smart grid. In this scheme, a lightweight trusted level measurement mechanism is designed, and a new dynamic weighted multi-classifier integration method based on Binary tree Support vector machine(BT-SVM) is proposed. The trusted level of configuration information and running state of an IED are measured through trusted third party. The measurement parameters and attestation period are dynamically adjusted according to different trusted levels of an IED, so that reducing computational overhead and communication delays in remote attestation process. Analysis and experiments show that the proposed scheme can enhance the security of IEDs in smart grid by occupying a small amount of computation and communication resources.

关键词： Smart grid Intelligent electronic devices(IEDs) Remote attestation Trusted level measurement

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Concept and Research Framework for Coordinated Situation Awareness and Active Defense of cyber-physical power Systems Against cyber-attacks

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Journal of Modern power Systems and Clean Energy 2021年第3期9卷 477-484页

作者： Ming Ni Manli Li Jun’e Li Yingjun Wu Qi Wang the NARI Group Corporation(State Grid Electric Power Research Institute) NARI Technology Co.Ltd.and the State Key Laboratory of Smart Grid Protection and ControlNanjing 211106China the School of Cyber Science and Engineering Wuhan Universityand the Key Laboratory of Aerospace Information Security and Trusted Computing of the Ministry of EducationWuhan 430072China the College of Energy and Electrical Engineering Hohai UniversityNanjing 211100China the School of Electrical Engineering Southeast UniversityNanjing 210096China

Due to the tight coupling between the cyber and physical sides of a cyber-physical power system(CPPS),the safe and reliable operation of CPPSs is being increasingly impacted by cyber *** situation poses a challenge to traditional security defense systems,which considers the threat from only one side,i.e.,cyber or *** cope with cyberattacks,this paper reaches beyond the traditional one-side security defense systems and proposes the concept of cyber-physical coordinated situation awareness and active defense to improve the ability of *** example of a regional frequency control system is used to show the validness and potential of this ***,the research framework is presented for studying and implementing this ***,key technologies for cyber-physical coordinated situation awareness and active defense against cyber-attacks are introduced.

关键词： cyber-physical power system(CPPS) cyber security cyber-attack situation awareness active defense

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A Searchable power Engineering Design Document Distribution Model based on Alliance Blockchain

A Searchable Power Engineering Design Document Distribution ...

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power and Energy (PandaFPE), Panda Forum on

作者： Jia-Yuan Fan Xian-zhong Li Qin Gong Jun Zhao Information Dispatching and Monitoring Center State Grid Sichuan Province Power Company Information & Communication Company Chengdu China Marketing Department State Grid Sichuan Province Power Company Chengdu China Inspection Department State Grid Sichuan Province Power Company Marketing Service Center Chengdu China Cyber security College Chengdu University of Information Technology Chengdu China

The design document is an important basis for the establishment, construction and production of power engineering construction. After the power engineering design documents are completed by the design unit, they are usually distributed to other units in the form of printing paper documents and making blueprints. The current method of document distribution has resulted in higher costs of document printing and storage, and the efficiency of document distribution is low. In this paper, a searchable power engineering design file distribution model based on the Alliance chain is stated. It uses the main feature of the blockchain's data tamper-proof technology, and combines the searchable encryption technology to realize the distribution and access management of digital power design files, eliminating the problems of inconsistent file versions and malicious tampering of file contents in the existing design file distribution process. In this model, the feature information ciphertext and keyword index ciphertext of the design file are written into the block data of private chain of design unit, and private chain send transaction to alliance blockchain. At the same time, the design documents are stored in distributed file systems, and the feature information of the documents is compared during the access of the design documents, so that the design documents can be tamper-proof after distribution, and the solution of replacing the paper blueprints with digital design drawings is realized. The model can make the engineering documents have the ability of tamper-proof, and can trace the flow process of the documents.

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A security scheme for intelligent substation communications considering real-time performance

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Journal of Modern power Systems and Clean Energy 2019年第4期7卷 948-961页

作者： Jie ZHANG Jun’e LI Xiong CHEN Ming NI Ting WANG Jianbo LUO Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of EducationSchool of Cyber Science and EngineeringWuhan UniversityWuhan 430072China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106China NARI Technology Co.Ltd. Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

Tampering,forgery and theft of the measurement and control messages in a smart grid could cause one breakdown in the power ***,no security measures are employed for communications in intelligent *** services in an intelligent substation have high demands for real-time performance,which must be considered when deploying security *** paper studies the security requirements of communication services in intelligent substations,analyzes the security capabilities and shortages of IEC 62351,and proposes a novel security scheme for intelligent substation *** security scheme covers internal and telecontrol communications,in which the real-time performance of each security measure is *** this scheme,certificateless public key cryptography(CLPKC)is used to avoid the latency of certificate exchange in certificate-based cryptosystem and the problem of key escrow in identity-based cryptosystem;the security measures of generic object-oriented substation event,sampled measure value and manufacturing message specification in IEC 62351 are improved to meet the real-time requirements of the messages as well as to provide new security features to resist repudiation and replay attacks;and the security at transport layer is modified to fit CLPKC,which implements mutual authentication by exchanging ***,a deployment of CLPKC in an intelligent substation is *** also evaluate the security properties of the scheme and analyze the end-to-end delays of secured services by combining theoretical calculation and simulation in this *** results indicate that the proposed scheme meets the requirements of security and real-time performance of communications in intelligent substations.

关键词： Intelligent substation security measures Certificateless public key cryptography(CLPKC) Real-time communication IEC 62351

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The application of voltage direct detection method based on mathematical morphology in distribution network with DG

The application of voltage direct detection method based on ...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Peng Li Wei Wang Hongfen Cui Shuai Wang Xilei Yang Yishu Zhao Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control under Ministry of Education North China Electric Power University Baoding Hebei China State Grid of China Technology College Jinan Shandong China

Distributed generation (DG) injects new vigor into the power system, but it sometimes brings unfavorable factors influencing the power quality of distribution network. In this paper, the Dynamic Voltage Restorer (DVR) is introduced to the distribution network to improve the power quality. In view of that the detection of voltage compensation is the key factor that influences the effect of voltage compensation, a voltage direct detection method based on mathematical morphology is proposed. Firstly, the positive-sequence voltage with harmonics can be extracted by the instantaneous sequence-component decomposer. And then the harmonics is filtered by mathematical morphology filter. Lastly, the control variable of voltage compensation needed by DVR can be calculated from the voltage direct-detecting algorithm. The simulation results show that this method has the characteristics of favorable accuracy, real-time performance and simplicity, and assures the voltage quality of load side after compensation by DVR.

关键词： Morphology power quality power system harmonics power harmonic filters Active filters Voltage fluctuations power system dynamics Voltage control power generation power system reliability

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