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The Risk of Cyber Security for Power Stability Control System and Its Test Platform 4

The Risk of Cyber Security for Power Stability Control Syste...

引用

4th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2022

作者： Tong, Heqin Xu, Jianbing Zhang, Liquan Liang, Shizhe Mai, Cheng Ding, Weidong Hu, Kunxuan State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nanjing China State Grid Electric Power Research Institute Nanjing China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

With the development of the smart grid and cross-regional power stability control technology, communication system and the infrastructure of power system combines together to become a coupled system. Thus, the cyber-attack on the communication and information system may cause serious threat on the power system. So, in this paper, a cyber-security test platform for the power stability control system is proposed and built. By this test platform, the cyber security can be tested and analyzed, and the ability to resist cyber-attacks can be evaluated. In this paper, the structure of communication network for the power stability control system and its cyber security risk is analyzed;then, the cyber security test platform for the power stability control system is proposed, and the structure, test items and the implementation scheme of the test platform is provided;finally, we use an operating typical power stability control system as the test case to evaluate the applicability of the test platform and provide some advantages of this platform. © 2022 IEEE.

关键词： Cyber attacks

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key Feature Selection Method for Intelligent Assessment of Transient Power Angle Stability based on Physical Mechanism and Improved Relief

Key Feature Selection Method for Intelligent Assessment of T...

引用

2022 Power System and Green Energy Conference, PSGEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method combining physical mechanism and improved Relief. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Through the combination of physical mechanism and improved Relief, the key feature quantities reflecting the stability of transient angle can be comprehensively selected by iterative optimization, and the problem of missing selection of key feature parameters under complex transient stability can be solved. The effectiveness of the method is verified by an actual power grid example. © 2022 IEEE.

关键词： Transients

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Research on intelligent evaluation model of transient stability based on K-means grouping 5

Research on intelligent evaluation model of transient stabil...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Ren, Xiancheng Zhang, Yin Wu, Feng Yuan, Huling Zhang, Jinlong Chang, Haijun Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In a large number of actual power system operation scenarios, the transient instability scenarios are far smaller than the stable operation scenarios. In the case of imbalanced samples, the rapid transient stability assessment based on machine learning will lead to the learning algorithm preferring to the majority of classes with more samples, thus causing the problem of missing judgment for the transient instability scenarios. This paper proposes an under-sampling method for grouping majority class samples based on K-means. Under the constraint that the proportion of stable samples and unstable samples meets certain conditions, the majority of class stable samples are grouped with the center sample and the sample nearest to the center sample as initial values, and the K-means algorithm is adopted. By regrouping the samples of the majority class successively, multiple training sample subsets composed of unstable samples and multiple groups of stable samples are finally formed. Model training is performed for each training sample set, and the evaluation model of the new mode is judged by the comprehensive distance from the unstable center sample and the stable center sample of each sample subset, and then the transient stability judgment is carried out, so as to improve the accuracy of rapid evaluation under the unbalanced condition of training samples. The effectiveness of the proposed method is verified by an actual power grid example. © 2022 IEEE.

关键词： Learning algorithms

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Quantitative Intelligent Evaluation of Transient Power Angle Stability based on Cluster Grouping

Quantitative Intelligent Evaluation of Transient Power Angle...

引用

2022 Power System and Green Energy Conference, PSGEC 2022

作者： Ren, Xiancheng Xu, Taishan Zhang, Yin Bao, Yanhong Wu, Feng Zhang, Jinlong State Key Laboratory of Smart Grid Protection and Control Nari Technology Co. Ltd. Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

Aiming at the problem that it is difficult to achieve the quantitative evaluation of transient power angle stability based on artificial intelligence, a quantitative intelligent evaluation method of transient power angle stability based on cluster grouping is proposed. Firstly, the key features of transient power angle stability are selected by the method of comprehensive physical mechanism and data mining. According to the difference requirement parameters of the key features of the train samples, the similar samples are minimized and clustered into groups. The center sample of each group is determined based on the comprehensive minimum of the stable mode difference index. Based on each group of center samples, a transient power angle stability margin estimation model is established and parameters are optimized by linear programming. Determine the effective group to which the new mode belongs by the effective mode distance of each group of samples. Use the model corresponding to each effective group to estimate the margin of the new mode, and take the minimum value of the estimated margin of all effective groups as the estimated value of the transient stability margin of the new mode to realize quantitative intelligent evaluation of transient power angle stability. The effectiveness of the proposed method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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Fuzzy Adaptive PI Circulating Current Suppressing Control for MMC-HVDC

Fuzzy Adaptive PI Circulating Current Suppressing Control fo...

引用

IEEE Information Technology, Networking, Electronic and Automation Control Conference

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

Recent years, modular multilevel converter (MMC) is one of the most promising topologies applied to high voltage direct current transmission (HVDC). In order to solve the circulating currents caused by structural defects of MMC, a fuzzy adaptive PI circulating current suppressing controller is proposed based on mathematical model of MMC and functioning fuzzy subset inference method: The fuzzy number is calculated according to the error of system state, error variation, membership function and fuzzy control rules; The center of gravity method is used for defuzzification, and finally the PI parameters are modified. Finally, the PSCAD/EMTDC simulation model with fuzzy adaptive PI controller is established. The results show that the fuzzy adaptive PI circulating current suppressing controller is effective for MMC-HVDC.

关键词： Adaptation models Multilevel converters PI control HVDC transmission High-voltage techniques Mathematical models Stability analysis

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Remote closed-loop test method of safety and stability control system based on step-by-step implementation 2

Remote closed-loop test method of safety and stability contr...

引用

2nd International Conference on Digital Society and Intelligent Systems, DSInS 2022

作者： Zhao, Wei Hou, Yuqiang Chen, Xiong Xue, Feng Chen, Wei Chen, Luofei Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China PONOVO Power Co. Ltd. Beijing100000 China

ISBN: (纸本)9781510663244

The safe operation of the safety stability control system is an important means to ensure the safe and stable operation of AC and DC power grids. Aiming at the shortage of existing test methods that cannot perform closed-loop testing of field safety stability control systems, a remote closed-loop test method for safety stability control systems based on step-by-step implementation is proposed. Using the simulation results of real-time digital simulation system (RTDS) as the signal source, a remote test platform architecture integrating laboratory and field safety and stability control devices is designed, key modules such as platform management system, test master and test terminal are developed, specific solutions are given for platform communication, and a remote closed-loop test procedure is formulated. Finally, a pilot application is carried out with an actual power grid security and stability control system as an example, and the effectiveness of the proposed method is verified. © 2023 SPIE.

关键词： Real time systems

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Prediction of Day-Ahead Electricity Price Based on N-BEATSx Model Optimized by SSA Considering Coupling Between Features 1

引用

7th Purple Mountain Forum on smart grid protection and Control, PMF2022

作者： Xu, Feihong Teng, Xianliang Lu, Jixiang Zheng, Tao Jin, Yulong Nanjing211106 China NARI-TECH Nanjing Control System Ltd Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

With the continuous advancement of Chinese electricity market reform, the continuous improvement of the market mechanism and the integration of a large number of new energy sources have brought great challenges to the market’s clear electricity price forecast. The new energy output, load data, and tie-line power schedule are fused to obtain an improved input feature variable, which can better reflect the electricity price trend. Then, the maximum information coefficient method (MIC) was used to analyze the correlation between each characteristic variable and electricity price, and an interpretable time series prediction model (N-BEATSx) based on neural network base expansion analysis of fusion characteristic variables was adopted. It is interpretable and can solve nonlinear forecasting problems of time series with the trend, seasonality, and significant random fluctuations. For the selection of hyperparameters in the N-BEATSx prediction model, the sparrow search algorithm (SSA) is used for optimization, the optimal grid structure hyperparameters are obtained with the minimum loss function of the validation set as the objective function. To verify the validity of the proposed model, the Shanxi Province market electricity price data is taken as an example to analyze and compare with other forecasting models, the results show that the proposed model can predict the electricity price of the day before clearing well. © state grid Electric Power Research Institute 2023.

关键词： Power markets

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Comparison and improvement of key feature selection methods for intelligent assessment of transient power angle stability 5

Comparison and improvement of key feature selection methods ...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Bao, Yanhong Wu, Feng Zhang, Jinlong Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method for improved Relief. Through analyzing and comparing the applicability of correlation coefficient, mutual information and Relief, three representative key feature selection methods, in the intelligent assessment of transient angle stability of power system, the applicability of Relief is better. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Based on improved Relief, feature is selected by iterative optimization, which can automatically screen out the optimal key feature set. The effectiveness of the method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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Thermal simulation optimization of DC charger based on ANSYS Icepak 14

Thermal simulation optimization of DC charger based on ANSYS...

引用

14th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Hangzhou 2023

作者： Wang, Yu Zhou, Feiyu Wen, Tan Su, Yan Yuan, Li Wang, Ke State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics College of Civil Aviation Nanjing China State Grid Electric Power Research Institute Nanjing China

ISBN: (纸本)9798350301359

As one of the most important charging facilities for electric vehicles, DC chargers provide power supplements for electric vehicles. With the continuous development of DC chargers, the power density of their internal functional modules is also increasing. It is urgent to choose a reasonable heat dissipation method to reduce the overall temperature rise inside the DC charger and ensure its safe operation. In this paper, the 80kW DC charger is taken as the research object, and based on ANSYS Icepak thermal simulation software, the internal temperature field and fluid field of the DC charger are simulated and analyzed, and the design scheme of the DC charger is optimized by studying the heat dissipation system. Finally, the optimization scheme of the air duct structure of the system is obtained by adjusting the position of the heat dissipation fan. © 2023 IEEE.

关键词： ANSYS Icepak DC charger heat dissipation temperature thermal simulation

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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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