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8th International Conference on Intelligent Computing and Signal Processing, ICSP 2023

作者： Wang, Ming Wang, Yuman Wu, Tianqi Chen, Cen Qian, Kexiang State Grid Corporation of China Co. Ltd Beijing China State Grid Smart Grid Research Institute Co. Ltd China Sgri Power Grid Digitizing Technology Department State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology China State Grid Henan Electric Power Company China State Grid Henan Electric Power Research Institute China State Grid Laboratory of Power Monitoring System Cyber Security Technical Standard Verification China School of Information and Communication Engineering Beijing University of Posts and Telecommunications China

ISBN: (纸本)9798350302455

system logs provide rich information about the current system's state. To make use of system logs, various existing work extracts a causal graph from the log events, and then applies graph-based machine learning algorithms to detect the anomalous behaviors. One limitation of these work is that they treat the graph in a static way, neglecting the dynamic nature of anomalous behaviors. In this paper, we propose to detect anomalous behaviors based on system logs using dynamic graph modeling. Our method consists of several key steps, including negative sampling which helps to balance the dataset, edge encoding which encodes the spatial information for each behavior, and sequence modeling which further models the temporal information. Experimental evaluations on real datasets demonstrate the effectiveness of the proposed approach. © 2023 IEEE.

关键词： Graphic methods

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Design and Verification of a DC Direct-mounted Energy Storage Topology

Design and Verification of a DC Direct-mounted Energy Storag...

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IEEE Information Technology, Networking, Electronic and Automation control Conference

作者： Junwei Huang Wujie Chao Chaoping Deng Liyu Dai Jinke Wang Electric Power Research Institute of State Grid Fujian Electric Power Co. Ltd. Fuzhou China Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

ISBN: (数字)9798350370805

ISBN: (纸本)9798350370812

The modular multilevel converter based battery energy storage system (MMC-BESS) has the problem of pulsating current affecting battery life, and the high cost of retrofitting traditional modular multilevel converter (MMC) stations. The proposed DC direct-mounted energy storage topology in this paper is battery friendly and required number of battery cells is only 1/6 of MMC-BESS, greatly saving costs. This paper analyzes the topology structure and working principle of DC direct-mounted energy storage devices, and proposes a design method for the DC direct-mounted energy storage devices. The proposed design method is validated through simulation and prototype experiments. The simulation and construction of a DC 750V prototype have verified that the prototype has achieved good charging and discharging functions for DC energy storage, with small fluctuations in DC grid connected current and good power control effect. This study can provide reference and guidance for the design and application of high-voltage and high-capacity direct current energy storage devices that support offshore wind power to move towards the deep sea in the future.

关键词： Multilevel converters Fluctuations Costs Power control Prototypes High-voltage techniques Wind power generation Topology Batteries Energy storage

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Evaluation of Wind Power Acceptance Capacity Based on N-1 Static Voltage Stability Region

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SSRN 2024年

作者： Shu, Hongchun He, Yefu Wang, Guangxue Shi, Botao Zhang, Hanxin Zaho, Zhixin State Key Laboratory Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming China Yunnan Key Laboratory of Green Energy and Digital Power Measurement Control and Protection Faculty of Land Resource Engineering Kunming University of Science and Technology China

Wind power generation is random and volatile with significant seasonal characteristics. Large-scale grid-connected wind power has an impact on the static safety of the system, especially under N-1 fault conditions. Therefore, this paper proposes an evaluation method of wind power acceptance capacity based on N-1 static voltage stability region to assess the maximum wind power acceptance capacity of the system. To accurately describe the dynamic correlation and seasonal characteristics of wind power generation in adjacent wind farms, a wind power output model is established based on k-medoids clustering and dynamic Copula function. Then, the seasonal generated scene data replaces the original wind power data for acceptance capacity assessment. The N-1 static voltage stability region model for wind power access is established, and the characterization method of wind power access to the N-1 static voltage stability region is determined by targeting search, searching, and selecting the most serious N-1 state. Monte Carlo is utilized to simulate the mathematical model of wind power acceptance capacity evaluation under different seasons, and combined with the N-1 static voltage stability domain, the maximum wind power acceptance capacity curve of the system is obtained. To verify the effectiveness of the proposed method, the IEEE-30 system connected to wind power is taken as an example for simulation analysis. The results show that the proposed method can quickly evaluate the maximum wind power acceptance capacity in the N-1 state, providing a basis for the planning and operation of a new energy power system with practical significance. © 2024, The Authors. All rights reserved.

关键词： Power generation

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Analysis of Ultra-low Frequency Oscillation Stability of Power systems

Analysis of Ultra-low Frequency Oscillation Stability of Pow...

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International Conference on Power and Energy Technology (ICPET)

作者： Kesu Cai Dongsheng Liu Wenshuo Zhao Xi Hong Yao Yin Xuanqu Fei State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation State Grid Electric Power Research Institute NanJing China School of Electrical Engineering and Electronic Information Xihua University Chengdu China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

The Low-Frequency Oscillation (LFO), Ultra-Low Frequency Oscillation (ULFO) and other oscillation can endanger the safety and stability operation of the power grid. However current relevant standards only have clear provisions on the critical damping ratio of LFO. Based on the risk of ULFO in high proportion hydropower systems, the principle and key influencing factors of ULFO are derived theoretically. According to the characteristics and hazards of ULFO, a method for determining the critical damping ratio of ULFO is explored, and the effectiveness of the method is tested through the actual response trajectory.

关键词： Damping Stability criteria Hydroelectric power generation Power system stability Attenuation Power grids Hazards Trajectory Oscillators Standards

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Verification and Testing of Emergency Stability control for Micro-grid in Industrial Park

Verification and Testing of Emergency Stability Control for ...

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Electrical Automation and Artificial Intelligence (ICEAAI), International Conference on

作者： Zaixin Yang Tao Han Yannan Qu Yedong Taopu Inner Mongolia Key Laboratory of Smart Grid of New-type Power System Institute of Relay Protection Inner Mongolia Electric Power Science & Research Institute Hohhot China

ISBN: (数字)9798331506797

ISBN: (纸本)9798331506803

With the development and transformation of industrial micro-grid, analyzing the emergency stability control of micro-grid when a fault occurs and the section is disconnected is of significant importance. In this paper, the industrial power grid characteristics are analyzed and the mathematical model of comprehensive loads are established. An emergency stability controller with voltage control and frequency control functions is proposed and the block of controller is designed by the programming language DSL. A micro-grid in industrial park based on RTDS is used for semi physical simulation testing of emergency stability control strategy. Simulation of under-frequency reverse power show that the correctness and effectiveness of the emergency stability control strategy.

关键词： Computer languages Power system stability control systems Stability analysis Power grids Mathematical models DSL Voltage control Frequency control Testing

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Research on Inter-station 2M Communication protection Method Suitable for Stability control system 16th

Research on Inter-station 2M Communication Protection Method...

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16th Annual Conference of China Electrotechnical Society, ACCES 2021

作者： Feng, Ke Chen, Xiong Wang, Wang Zhu, Kaiyang Lu, Yan Cai, Yupeng NARI Group Corporation/State Grid Electric Power Research Institute Nanjing210003 China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd Shenyang110004 China State Key Laboratory of Smart Grid Protection and Control Nanjing210003 China

ISBN: (纸本)9789811915314

The communication safety of the safety and stability control system has received more and more attention. This paper analyzes the risks and consequences of the inter-station communication in detail. Based on the special structure of the inter-station communication, a security and stability control system inter-station communication protection method is proposed. This method builds a complete communication management scheme by adding function codes, counting bits and check codes in the message, thereby realizing effective identification and protection of risk points such as communication interruption, information tampering, and playback attacks. The effectiveness and reliability of the method has been proved by the results of experiments. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cryptography

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Life Prediction Method of Equipment system Based on SVR-Wiener

Life Prediction Method of Equipment System Based on SVR-Wien...

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2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2021

作者： Yan, Bingrong Su, Yan Wang, Jinjun Wen, Tan State Key Laboratory of Smart Grid Protection and Control Nanjing China Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China Civil Aviation College Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9781665449762

Aiming at tlie cliaracteristics of liigli reliability, long-life equipment or newly developed equipment with a small number of failure degradation data samples, this paper proposes a method for predicting the remaining useful life of equipment systems based on the fusion of support vector regression (SVR) and drift Wiener process. Firstly, the distribution function of the drift Wiener process is transformed;then, a support vector regression machine method is introduced to establish an optimization model to estimate the parameters of the drift Wiener process, and a life prediction algorithm based on SVR and drift Wiener process is researched and established. Finally, a certain highly reliable and long-life cabin environment system is used as an example to carry out life prediction. The application shows that the method proposed in this paper has better prediction than the traditional maximum likelihood estimation method and moment estimation method in a small sample. © 2021 IEEE.

关键词： Forecasting

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Analysis of Emergency control Strategy of system Frequency under Large Power Disturbance 7

Analysis of Emergency Control Strategy of System Frequency u...

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7th Asia Conference on Power and Electrical Engineering, ACPEE 2022

作者： Guang, Xu Jiahe, Yang Xuelian, Wu Zhonghui, Wan Hui, Huang Fusuo, Liu Nari Group Corporation/State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China Nari Group Corporation/State Grid Electric Power Research Institute Power Grid Analysis and Consulting Department Nanjing China State Grid Electric Power Research Institute Nanjing China

ISBN: (纸本)9781665418195

When large-power disturbances occur in power grids, the system frequency will shift greatly, and there may be obvious spatial-temporal distribution characteristics. By analyzing the single-machine frequency response characteristics of the system and the frequency difference between the two systems, a system frequency analysis model considering nonlinear factors under large frequency difference is proposed to estimate the maximum offset of the system frequency. It is proposed to reduce the maximum frequency offset and reduce the frequency spatiotemporal distribution characteristics by selecting the coordination method of emergency control at different locations at different times, thus improving the safety and stability of the power grid. © 2022 IEEE.

关键词： Electric power transmission networks

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Verification and Testing of Emergency Stability control for Micro-grid in Industrial Park

Verification and Testing of Emergency Stability Control for ...

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2025 International Conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025

作者： Yang, Zaixin Han, Tao Qu, Yannan Taopu, Yedong Institute of Relay Protection Inner Mongolia Electric Power Science & Research Institute Inner Mongolia Key Laboratory of Smart Grid of New-type Power System Hohhot China

ISBN: (纸本)9798331506797

关键词： DSL emergency stability control micro-grid RTDS

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Sensitivity Analysis of the Flexible Spiral Magnetic Field Energy Harvester

Sensitivity Analysis of the Flexible Spiral Magnetic Field E...

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Power and Energy systems Engineering (CPESE), International Conference on

作者： Wei Wang Chenjin Xu He Wang Wenbo Su Zhenya Ji Minqiang Hu NARI School of Electrical and Automation Engineering State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing Normal University Nanjing China State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China NARI School of Electrical and Automation Engineering Nanjing Normal University Nanjing China

The magnetic field energy harvesting has become a more suitable method for powering the monitoring sensors due to its simple energy harvesting structure, high power density, and stable energy source. However, existing magnetic field energy harvester have limitations such as restricted installation size, single application scenario, and difficulty in installation or disassembly. Motivated by the above problems, this paper proposes a flexible spiral magnetic field energy harvesting (SMFH) method, which is verified by the establishment of energy harvesting models, theoretical derivation, and simulation analysis. On this basis, a comprehensive performance analysis is performed on the number of windings, load characteristics, flexibility, weight, and non-ideal resonant state. Also, the sensitivity of the flexible SMFEH to various parameter changes is deeply analyzed. Finally, the experiments have verified the feasibility of the flexible SMFEH.

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