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Group authentication algorithm based on region grouping and aggregate signcryption 4

Group authentication algorithm based on region grouping and ...

引用

4th international conference on Network Communication and Information Security, ICNCIS 2024

作者： Li, Yong Gu, Jian Qiu, Jinyi He, Wenbo Zuo, Jiashuo State Grid Shaoxing Power Supply Company Zhejiang Shaoxing312000 China Department of Electronic and Communication Engineering North China Electric Power University Hebei Baoding071003 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

With the rapid development of the power Internet of Things and the increasing number of IoT devices and application scenarios, new requirements are put forward for the reliability and efficiency of equipment access certification. Aiming at the problems of low efficiency and malicious attack of traditional authentication methods, this paper proposes a group authentication algorithm based on regional grouping and aggregate signcryption. Firstly, according to the characteristics of IoT devices, a distributed authentication scheme based on regional grouping is designed. Then each group relies on aggregation signcryption technology for group authentication of IoT devices. Finally, the calculation and communication cost of the algorithm are compared and analyzed. The results show that the proposed algorithm can improve the authentication efficiency. © 2025 SPIE.

关键词： Network security Computer security Internet of things Local area networks Data transmission Information security Telecommunications Zinc computing systems Fiber optic gyroscopes

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A distributed Energy Trading Framework with secure and effective Consensus Protocol 42

A Distributed Energy Trading Framework with secure and effec...

引用

42nd IEEE international conference on distributed computing Systems (ICDCS)

作者： Ye, Jin Liang, Jiahua Li, Xiaohuan Chen, Qian Guangxi Univ Sch Comp & Elect Informat Nanning 530000 Peoples R China Guilin Univ Elect Technol Sch Informat & Commun Guilin 541000 Peoples R China

ISBN: (数字)9781665488792

ISBN: (纸本)9781665488792

With the rapid increase of DER(distributed energy resources), it has become a global trend to establish a distributed energy trading markets to coordinate these DERs. However, the construction of distributed energy trading market faces various challenges, in which trusted transaction among market participants is crisis. Since the existing solutions need numerical calculation and communication resource that lead to large delay, this paper proposes a distributed energy trading framework with secure and effective consensus protocol. Different from the traditional PBFT (Practical Byzantine Fault Tolerance) that is the notable debasement on interaction flow between processes, a threshold signature mechanism is introduced and the consensus process of trading is reconstructed. Theoretical analysis shows that the communication complexity of the proposed framework is optimized from O(n(2)) to O(n), and the computation complexity of the participants is also reduced from O(n) to O(1). Our simulation results also show that the task delay of our consensus protocol begins to be lower than PBFT when the number of participants exceeds a certain threshold. In particular, the trusted transaction delay using our consensus protocol is reduced by 12.14% when the number of participants increases to 100.

关键词： distributed energy trading blockchain consensus protocol threshold signature

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Directional over Current Relay Coordination in presence of distributed Generation Using Harris' Hawks Optimization for Adaptive Protection 3

Directional over Current Relay Coordination in presence of D...

引用

3rd international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Kaur, Simardeep Ralhan, Shimpy Shri Shankaracharya Technical Campus Chattisgarh Bhilai India

ISBN: (纸本)9781665494007

One of the major issues that arises when a DG forms an integrated part of an existing distribution system is the protection of the grid system. In order to achieve the best coordination of DOCRs in connected power networks under the influence of DG, an adaptive protection coordination approach is presented in this study. The Harris Hawks Optimization (HHO) coordination technique is employed. It was chosen because HHO can handle search challenges such local optimal solutions, multi-modality, and misleading optima. With the use of adaptive relays which take into account the protection schemes that adjust settings of the relay based on the existing conditions of the system relay miss-operation can be prevented. MATLAB code using HHO technique is developed for the optimal coordination of DOCR and DigSILENT/Power Factory is used to develop the model for the adaptive protection scheme. The results support the validity of the proposed scheme to account for the DGs' uncertainty and choose the best protection settings while ensuring a minimal operating time. © 2023 IEEE.

关键词： distributed power generation

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distributed Photovoltaic Short-Term Power Prediction Based on Multi-Point Correction of Autoformer and POPtree 5

Distributed Photovoltaic Short-Term Power Prediction Based o...

引用

5th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Li, Yonghui Hu, Yasha Wang, Xuejin He, Jin Yunnan Power Grid Co. Ltd. Kunming China

ISBN: (纸本)9798350333442

With the continuous expansion of photovoltaic grid-connected capacity, precise prediction of photovoltaic power has become essential for ensuring the secure and stable operation of new energy power systems. This paper presents a distributed photovoltaic short-term power forecasting method, utilizing Autoformer and POPtree multi-point correction to overcome challenges associated with insufficient or inaccurate weather forecast data, thus enabling accurate predictions. The methodology begins with the MIC algorithm, which calculates feature correlation coefficients, helping to identify highly correlated features that are then fed into the Autoformer model for prediction, yielding preliminary long sequence prediction results. Next, a point-by-point prediction approach based on the tree model trains multiple lightGBM models, producing multi-point power predictions. Finally, by setting a weighted threshold α, the corresponding prediction results from different models are combined using a hybrid weighting method to derive the ultimate photovoltaic short-term power prediction outcomes. Through a case analysis of photovoltaic output data in a specific station area, the results demonstrate that the proposed model achieves high-quality short-term photovoltaic output predictions even without relying on weather forecasting data. This method proves effective in meeting the demands of accurate photovoltaic power forecasting in practical scenarios. © 2023 IEEE.

关键词： Weather forecasting

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A Droop Based Standalone Microgrid Control with Phase-Locked Loop (PLL) system

A Droop Based Standalone Microgrid Control with Phase-Locked...

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2023 IEEE international conference on Power Electronics, Smart grid, and Renewable Energy, PESGRE 2023

作者： Joshal, Karan Singh Gupta, Neeraj National Institute of Technology Dept. of Electrical Engineering J&K Srinagar India

ISBN: (纸本)9798350310573

This research paper presents an advanced decentralized control approach for an independent AC microgrid with renewable energy-based distributed energy resources (DERs), including two solar PV-BESS systems. The DERs are connected to the microgrid through a three-phase voltage source inverter (VSI) network. The regulation of VSI voltage and frequency utilizes droop control, enhanced by integrating a phase-locked loop (PLL) system for inverter synchronization. The control approach ensures seamless power distribution and maintains voltage and frequency within specified limits across different operational scenarios. The control operations are based on the stationary frame (α-β) established via Clarke's transformation. Proportional and resonant (PR) controllers are employed to regulate VSI voltage and current, ensuring performance and stability. The proposed control approach is validated through MATLAB/Simulink simulations, covering PV system behavior, load dynamics, and DER connection challenges. © 2023 IEEE.

关键词： AC Microgrid distributed Generation Droop Control PLL PR controller Solar PV

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A Fault Diagnosis Method of Distribution Network based on Intelligent Algorithm 2

A Fault Diagnosis Method of Distribution Network based on In...

引用

2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Du, Renjie State Grid Sichuan Electric Power Company Chengdu Power Supply Company Sichuan Chengdu China

ISBN: (纸本)9798350347456

Aiming at the complex problem of fault diagnosis in 110kV distribution network, a tracking algorithm is proposed to optimize it. Tracing algorithm can analyze the relationship between lines and stations, and build different association information rule tables. On the basis of historical statistical information, the line characteristics are analyzed to realize fault location diagnosis. The simulation results show that the tracking method is better than the manual method in fault diagnosis of 110kV distribution network, the accuracy rate is more than 90%, and the diagnosis time is shortened to 10s, which is significantly better than the manual test method. The diagnosis results of 110kV distribution network faults are all less than the standard threshold. Therefore, the tracked diagnosis meets the requirements of fault standards, and there is no abnormal value. Therefore, the tracing method can diagnose and analyze the faults of 110kV distribution network lines, and it is verified that the tracked diagnosis results are more accurate. © 2023 IEEE.

关键词： Failure analysis

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Research on Service Scanning Supervision Technology Based on Improved Association Algorithm 3

Research on Service Scanning Supervision Technology Based on...

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3rd IEEE international conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024

作者： Shang, Qingqing Liu, Chao Li, Jiwei Ren, Liwei Zhang, Xinyi Jia, Zhen Jiang, Yuchen Liu, Haitao State Grid Information & Telecommunication Branch Beijing China State Grid Zhejiang Electric Power Co. Ltd. Lishui Power Supply Company Zhejiang Lishui China

ISBN: (纸本)9798350380989

The scale of data in the Internet environment is becoming increasingly large and complex. Its heterogeneous, dynamic and distributed information characteristics have caused the existing business scanning and monitoring models to be unable to meet its application needs. This project proposes an improved iterative algorithm based on multiple servers. By introducing the idea of local operation of memory nodes, a service scanning and monitoring model that can support concurrency is constructed. A cluster analysis method based on genetic algorithm based on cluster analysis is proposed. It is then synthesized to correlate the largest set of recurring items to achieve data association, extend the iterative service scanning supervision algorithm, and obtain user-interested implicit patterns from server logs. At the same time, personalized service purposes are achieved by recommending implicit interest collections to users. Simulation results show that this method can effectively improve the performance of business search monitoring, and has the characteristics of enhancement as the data size increases. © 2024 IEEE.

关键词： iterative algorithm local computing parallel algorithm Web data association

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Research on the Reconstruction of Galloping Curve of Transmission Line Based on BP Neural Network 2

Research on the Reconstruction of Galloping Curve of Transmi...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Yin, Hong Wu, Qijin Liu, Chuntang Xia, Liwei Zhang, Chuqian Wang, Xingchao State Grid Hubei Extra High Voltage Company Wuhan China

ISBN: (纸本)9798350347456

Galloping disasters have extremely bad effects on the operation of transmission lines, and the realization of galloping prediction is extremely necessary. The study takes the galloping sample data of the power system in Henan Province as an example to analyze the temporal and spatial distribution characteristics of meteorological data, meanwhile selects the BP neural network algorithm to complete the prediction of icing galloping on transmission lines. In line dancing prediction, the false alarm rate and false alarm rate of BP neural network algorithm are within a reasonable range. Compared with the other three prediction methods, the BP neural network algorithm has good performance in both the training set and the test set of transmission line icing galloping prediction The line galloping prediction results of the training set and the test set show that the BP neural network algorithm has ideal performance, and prediction accuracy rate increases by about 5-20%. The constructed transmission line ice galloping prediction model can give early warning of severe weather in time, ensuring the stability and safety of the power network. The research results can effectively control the hazards caused by grid galloping, improve the reliability level of transmission lines, and ensure the safety of the transmission system during peak winter. © 2023 IEEE.

关键词： Electric power transmission

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Research on Infrared Detection Method for Distribution Equipment Based on Cloud Edge Collaboration 5

Research on Infrared Detection Method for Distribution Equip...

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5th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Hengfu, Feng Bo, Zhang Chongyou, Xu Meng, Zhou State Grid Shanghai Energy Internet Research Institute Co. Ltd. Shanghai China State Grid Zhejiang Electric Power Co. Ltd. Ningbo Power Supply Company Ningbo China

ISBN: (纸本)9798350333442

Infrared imaging is the main method for detecting power equipment and a key means to ensure the safe and reliable operation of the power grid. Traditional infrared imaging devices are bulky, inconvenient to carry, and unfriendly to operate, which affects their practical application effectiveness. In recent years, infrared imaging online detection and portable infrared imaging technology have been continuously developed, and advanced technologies such as 'big cloud moving intelligence' have been rapidly applied, providing new ideas for infrared imaging detection. This article proposes mobile phone infrared imaging detection and perforated infrared imaging online detection technology solutions based on the characteristics of overhead lines and distribution station buildings in the distribution network, and designs an infrared imaging detection architecture based on cloud edge collaborative distribution equipment. Based on the cloud/edge collaboration mechanism, the inference calculation is moved forward to edge devices such as edge gateways or mobile phones. The model is trained in the cloud, and the model algorithm is updated before being distributed and deployed to the edge, reducing network transmission and cloud computing pressure. The cloud/edge updates independently. Finally, experiments have shown that the infrared imaging detection architecture for power distribution equipment based on cloud/edge collaboration effectively reduces network transmission load and cloud computing pressure, is easy to operate, and has good implementation effects. It provides a new solution to solve the series of problems existing in existing infrared imaging detection. © 2023 IEEE.

关键词： Image recognition

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Unified Kill Chain Model for Executing MITM Attacks in Microgrids with DERs 4

Unified Kill Chain Model for Executing MITM Attacks in Micro...

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4th international conference on Power, Control and computing Technologies, ICPC2T 2025

作者： Mogilicharla, Suresh Kondety, Tony Tripathy, Manoj Kanabar, Mital Electrical Engineering Department Indian Institute of Technology Roorkee India GE Renewable Energy GE Grid Solutions MarkhamON Canada

ISBN: (纸本)9798331530402

The increasing integration of networked distributed Energy Resources (DERs) into microgrids is expanding the attack surface of modern power systems, particularly in decentralized environments. This paper explores the use of the Unified Kill Chain (UKC) framework to model and execute a Man-in-the-Middle (MITM) attack in a microgrid, focusing on the various stages of the attack, from reconnaissance to the final impact on the Microgrid Energy Management System (MEMS). By leveraging the UKC, the study demonstrates how sophisticated attackers can exploit vulnerabilities in communication protocols like Modbus to manipulate critical parameters, such as the battery state of charge (SoC), leading to erroneous decision-making and undermining the operational reliability of the microgrid. The paper underscores the need for targeted defensive actions at each stage of the attack chain to detect, mitigate, and neutralize the intent of advanced persistent threats (APTs) against DER systems. © 2025 IEEE.

关键词： Decision making

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