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检索条件"机构=State Key Laboratory of Smart Power Grid Protection and Control"

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A Web Attack Detection Method Based on DistilBERT and Feature Fusion for power Micro-Application Server 2

A Web Attack Detection Method Based on DistilBERT and Featur...

引用

2nd International Conference on Advanced Electronics, Electrical and Green Energy, AEEGE 2023

作者： Nige, Li Lu, Chen Lei, Zhao Zhenning, Teng Zhiqiang, Wang Yiyang, Shao Xiaolin, Gui State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co.Ltd. Nanjing China Xi'an Jiaotong University Faculty of Electronic and Information Engineering Shaanxi Province Key Laboratory of Computer Network Xi'an China

ISBN: (纸本)9798350322866

The widespread use of power micro-applications has significantly expanded the attack surface of their server side, thus increasing the risk of vulnerability attacks such as SQL injection, XSS, and CRLF injection. To ensure the security of power systems, these attacks must be detected precisely and timely. Therefore, this paper proposes a server-side web attack detection method based on DistilBERT and feature fusion for HTTP and HTTPS requests. The method treats HTTP and HTTPS requests as text data, specifically, extracts deep semantic features using DistilBERT, and fuses them with well-designed empirical features to comprehensively characterize and classify the request. Consequently, anomalous requests can be detected. The experimental results show that the accuracy, precision, recall, and F1 score of the method on HTTP CSIC 2010 and FWAF datasets are close to or higher than 99%. Compared with other methods as far as we known, this method has better performance and efficiency. © 2023 IEEE.

关键词： Cybersecurity

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Thermal runaway difference between fresh and retired lithium iron phosphate batteries under overheating 2

Thermal runaway difference between fresh and retired lithium...

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2023 2nd International Conference on Green Energy and power Systems, ICGEPS 2023

作者： Wang, Cong-Jie Wang, Shu-Ping Gao, Fei Li, Chang-Hao Zhu, Yan-Li State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing100081 China Anhui Province Key Laboratory of Electric Fire and Safety Protection State Grid Laboratory of Fire Protection for Transmission and Distribution Facilities State Grid Anhui Electric Power Research Institute Hefei230601 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing100192 China

Safety is an important factor restricting the cascade utilization of lithium-ion batteries (LIBs). In this paper, the safety characteristics of fresh and retired lithium iron phosphate batteries are investigated by means of a heating-triggered thermal runaway (TR). The results show that under the heating condition of 200 W, the internal short circuit (ISC) can directly cause the TR of a new battery and lead to an explosion with an overpressure of 98.9 kPa. However, there is still a buffer time of 13.1-22.3 min between the ISC and TR for the retired battery with states of health (SOHs) of 80% - 60%, and the retired battery cannot explode. The large-scale ISC onset time, TR onset time, and TR onset temperature of the 70% SOH battery are 27.4 min, 40.5 min, and 179.9 °C, respectively, which are the smallest among retired batteries, indicating that the 70% SOH battery may be more likely to trigger TR. The findings can provide guidance for the safe application of retired batteries. © Published under licence by IOP Publishing Ltd.

关键词： Lithium-ion batteries

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Coupling Model and Cooperative Optimization Operation of Multi-energy Complementary Integrated Energy System 1

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8th Purple Mountain Forum on smart grid protection and control, PMF 2023

作者： Yizhi, Chen Chenghong, Tang Dongmei, Yang Wenjie, Ye Wenjun, Xu Yuxiang, Meng State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China Nanjing211106 China NARI Technology Development Co. Ltd. Nanjing211106 China Nanjing Normal University Nanjing210023 China

ISBN: (数字)9789819992515

ISBN: (纸本)9789819992508

Driven by the goal of "carbon peak and carbon neutrality", a comprehensive energy system that integrates multiple energy structures has emerged. How to realize multi-energy complementarity and collaborative optimization among different sources, effectively improve energy utilization efficiency and promote the consumption of renewable energy has become a research hotspot. In this paper, the architecture of the user-side multi-energy complementary integrated energy system is studied, and the coupling equipment and energy supply network are analyzed. A multi-time scale coupling model, including a static coupling model and dynamic coupling model, is established for the multi-energy conversion equipment, Furthermore, the multi-energy coupling integration model is described. Then, a multi-energy coupling collaborative optimization method was proposed, and the objective function and constraint conditions of the system optimization operation were established. Finally, based on the coupling model and optimization method proposed in this paper, a multi-energy complementary comprehensive energy management and control system is developed. The system has been piloted and applied in several typical comprehensive energy scenarios across the country. Through data analysis and practical application verification, energy efficiency and the economy can be effectively improved. © 2024, state grid Electric power.

关键词： Energy efficiency

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A Simplified Matching Algorithm of the Carbon Neutrality Path for the Industry Zones 11

A Simplified Matching Algorithm of the Carbon Neutrality Pat...

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11th International Conference on Innovative smart grid Technologies - Asia, ISGT-Asia 2022

作者： Jin, Jingqi Li, Nan Lai, Yening Huang, Jie Chen, Xuetong NARI Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Qinghai Electric Power Company Economic and Technological Research Institute Xining China

ISBN: (纸本)9798350399660

After the carbon peaking and carbon neutrality goals were determined, industrial zones with high energy consumption began investigating their own carbon emission paths and formulating carbon emission reduction strategies. According to the zone's carbon emission projections, a reasonable estimate of the long-term carbon neutrality curve can be made, which has significant research implications for describing the carbon emission path and formulating carbon emission reduction measures. This paper uses the modified Kaya identity to build a model of the zone's carbon emissions. It proposes an algorithm for the zone's carbon-neutrality path matching the carbon peak path and determines the carbon emission peak year and carbon budget of the zone for achieving carbon peaking and carbon neutrality goals. © 2022 IEEE.

关键词： Carbon

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Non-intrusive load perception and flexibility evaluation for electric vehicle charging station: a deep learning based approach 5

Non-intrusive load perception and flexibility evaluation for...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Wang, Jiarui Deng, Jiewen Liu, Yu Wang, Yi China Southeast University School of Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Electric vehicles have the advantages of zero carbon emission, high energy efficiency and simple structure, and have been widely used today. Under the control of V2G, electric vehicles can be used as loads and distributed power sources, and become participants in the operation of auxiliary systems. Aiming at how to evaluate the load states and controllability of electric vehicle charging stations, this paper proposes a load sensing method for electric vehicle charging stations based on unsupervised learning and non-intrusive load monitoring. The proposed load sensing method firstly establishes the load sensing model according to the unsupervised learning strategy, and then uses the neural network model of the supervised learning strategy to evaluate the available regulation capability, so as to realize the load perception and regulation capability evaluation of the electric vehicle charging station. Through the verification of simulation data, it is proved that the proposed method has good performance in the evaluation of load perception and controllability of electric vehicle charging stations, which provides a feasible solution to the practical implementation of auxiliary responses by electric vehicles. © 2022 IEEE.

关键词： Electric vehicles

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A Day-ahead Scheduling Strategy for Electric vehicles Based on Converted Economical Objective 5

A Day-ahead Scheduling Strategy for Electric vehicles Based ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Bai, Chenhui Wang, Jiarui Deng, Jiewen Liu, Yu Wang, Yi State Key Laboratory of Smart Grid Protection and Control China School of Electrical Engineering Southeast University Nanjing China Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In recent years, with the rapid development of electric vehicles (EVs), the connection of a large number of EVs to the power grid has adversely affected the economic operation and system stability of the power grid. Therefore, research on the effective dispatch of EVs is of great significance. This paper proposes a day-ahead scheduling strategy for EVs based on converted economical objective, which makes full use of the flexibility of EV loads, takes into account the interests of the grid side and the user side, and reduces the negative impact of EVs connected to the grid. For the limitation of the objective function with the smallest variance, objective function converts the technical index of grid load peak-to-valley difference into an economic index with the smallest charging cost for users, and uses CPLEX to solve the day-ahead scheduling model of small-scale fast charging stations. The calculation example shows that this strategy can effectively reduce the peak-to-valley difference of grid load, which proves the rationality of the strategy. © 2022 IEEE.

关键词： Electric vehicles

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Assessment of Static Voltage Stability Margin for power Systems with Causal Decomposition and Reverse Feature-Enhanced Temporal Convolutional Networks

Assessment of Static Voltage Stability Margin for Power Syst...

引用

IEEE PES Asia-Pacific power and Energy Engineering Conference (APPEEC)

作者： Haifeng Zhou Xianyu Zha Qi Pan Naishuang Li Jiabin Zhang Jiacheng Liu State Key Laboratory of Smart Grid Protection and Operation Control NARI Group Corporation (China Electric Power Research Institute) Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

Rapid and accurate static voltage stability assessment is crucial for the safe operation of large-scale interconnected power grids. Existing methods have failed to effectively filter key input variables in massive measurement data, limiting assessment accuracy. This study proposes an assessment method based on causal decomposition and reverse feature-enhanced temporal convolution networks. Initially, using bottom-layer measurement data as input, key variables are selected through causal decomposition, reducing the original feature set and enhancing computational efficiency. Subsequently, a reverse feature-enhanced temporal convolution model is constructed to fully mine data characteristics and achieve high precision assessment. Validation in an improved four-machine two-area simulation system demonstrates that this method significantly enhances estimation accuracy and algorithm performance while reducing the dimensionality of original variables.

关键词： Adaptation models Accuracy Correlation Convolution power system stability Predictive models Feature extraction Stability analysis Data models Convolutional neural networks

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power System Operation Mode Generalization and Stability control Strategy Modification Based on Data-Driven Method 5

Power System Operation Mode Generalization and Stability Con...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Yuan, Huling Liu, Panpan Tai, Wei State Key Laboratory of Smart Grid Protection and Control System Protection Laboratory Nari Technology Co. Ltd. Nanjing China Nanjing Dongbo Smart Energy Research Institute Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The power grid operating mode will grow more complicated and diversified as power grid structure becomes more complex, as does the high share of renewable energy and the rising permeability of power electronic equipment. As a result, evaluation and analysis methodologies designed for ordinary operating modes will not be able to fulfill the needs of future power system operation planning, analysis, and strategy selection. Therefore, this paper provides a data-driven power system operating mode analysis as well as a technique for selecting a stability control strategy This method first builds the characteristics of the typical scenario is suitable for the operation of the electric properties and the method of data preprocessing, then identifies the typical operation mode through clustering and tightness index saturation point, respectively, and selects the corresponding stability control strategy in place to ensure that the grid can still keep the stable operation unaffected. Finally, an example is generated and examined using real power grid operating data from southwest China to demonstrate the efficacy and dependability of the proposed strategy. © 2022 IEEE.

关键词： Electric power transmission networks

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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...

引用

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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Short-term operation planning of power grid flexibility regulation under uncertain risk scenario

Short-term operation planning of power grid flexibility regu...

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2021 IEEE Sustainable power and Energy Conference, iSPEC 2021

作者： Xie, Dongliang Wang, Cai Xue, Yusheng Lai, Yening Zhang, Zheng Cai, Linjun Song, Xiaofang Zhang, Huilin Yu, Chen State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (纸本)9781665414395

Traditional power grids for volatility, uncertainty, usually set a pro rata sufficient spare margin, but when the new energy grid capacity increases, if the volatility is so great, this 'one size fits all' decision is often expensive, too high thermal power start-up and even result in waste of resources. Therefore, based on the study of the multi-scale flexibility control measures of source network load storage, this paper puts forward the operation planning algorithm to reduce the total operation control risk effectively by coordinating and lowering the backup measures. Synergy with the value of various flexible resources in short-term operation planning to prevent and control the risk of wind, light and power outages in power systems, to achieve flexible operation planning. Finally, through the study, the algorithm proposed in this paper is verified that the algorithm can solve the problem of risk prevention and control in operation planning more economically and safely under the condition of large-scale grid-connected new energy. © 2021 IEEE.

关键词： Electric power transmission networks

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