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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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Online Network traffic anomaly detection method combining OS-ELM and SADE

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IEEE Access 2023年 1-1页

作者： Dai, Shiyong Zhao, Yufei Huang, Jinhua Wang, Xuxian Zhao, Guifei Zhang, Lei Xie, Ming Guo, Ziyue China Southern Power Grid Key Laboratory of Power Grid Automation Laboratory Guangzhou Guangdong China State Grid Laboratory of Power Cyber-Security Protection and Monitoring Technology State Grid Smart Grid Research Institute Co.Ltd Beijing China Beijing Institute of Electronic Information Technology Beijing China Power Research Institute of State Grid Gansu Electric Power Company Gansu China Guangxi Power Grid Co. Ltd Nanning Guangxi China Qingyuan Power Supply Bureau of Guangdong Power Grid Co. Ltd Qingyuan Guangdong China

Network traffic anomaly detection methods can detect traffic that is significantly different from normal traffic by analyzing network traffic, and are seen as an effective means to detect unknown new attacks because they do not rely on static feature codes. However, most of the current network traffic anomaly detection methods have low accuracy and high false alarm rate. In this paper, an OS-ELM (Online Sequential Extreme Learning Machine) network traffic anomaly detection method is proposed. First, we use SMOTE to balance the data samples to improve the classification detection performance. In order to reduce the high dimensionality between data features and eliminate the redundancy, the Stacked Denoising Autoencoder (SDAE) network is adopt to reduce the dimension of the feature vectors. Finally, we test the real network traffic and analyze the effect of model structure and external noise on the detection performance, and the experimental results verify the correctness of our scheme. Compared with other detection methods based on data reconstruction, the proposed method has higher detection accuracy and better detection performance. Author

关键词： Intrusion detection

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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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Optimization and Scheduling of Wind-Photovoltaic-Integrated Energy System Based on ISSA

Optimization and Scheduling of Wind-Photovoltaic-Integrated ...

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Clean Energy Storage and power Engineering (CESPE), International Conference on

作者： Shunyu Wu Xiangyu Kong Shuai Luo Yang Wang Yi Gao Tianchun Xiang Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China Economic and Technical Research Institute of State Grid Tianjin Electric Power Company Tianjin China China State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

A multi-objective scheduling model of the park integrated energy system (PIES) with an improved Sparrow Search Algorithm (ISSA) is proposed for the problem of economy, stability, and environmental protection of PIES containing photovoltaic cells, wind turbines, and batteries. PIES includes three kinds of electricity, heat, and gas loads, as well as coal-fired units, gas units, wind, and photovoltaic power generation units. Aiming at the economic dispatching problem of PIES by dispatching model of PIES of the park is carried out. Economic cost and utilization rate of clean energy are taken as objective functions. The ISSA algorithm is used to solve the multi-objective function, and the example analysis shows that the proposed model is conducive to reducing the total cost of system operation. The result of the example verifies the feasibility, superiority, and applicability of ISSA in solving the multi-objective optimal scheduling store.

关键词： Green energy Costs Spirals Systems operation Optimal scheduling Wind power generation Dispatching Stability analysis Wind turbines Load modeling

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Analysis of the Impact of Urban and Electric power Big Data Economy on Pollution Reduction and Carbon Reduction Based on Benchmark Regression Model

Analysis of the Impact of Urban and Electric Power Big Data ...

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Clean Energy Storage and power Engineering (CESPE), International Conference on

作者： Zixuan Qi Xiangyu Kong Yang Wang Yi Gao Shuai Luo Tianchun Xiang Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin University of Technology Tianjin China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China China State Grid Tianjin Electric Power Company Tianjin China Economic and Technical Research Institute of State Grid Tianjin Electric Power Company Tianjin China

ISBN: (数字)9798331511708

ISBN: (纸本)9798331511715

Currently, in promoting ecological civilization construction in China, the coordinated governance of pollution and carbon reduction is regarded as the core strategy and implementation focus. As a new economic transformation and upgrading model, the Electric power big data economy is becoming essential in promoting this process. The entropy method is used to construct evaluation indicators for the Electric power big data economy, pollution reduction, and carbon reduction. Subsequently, a benchmark regression model was built for testing based on carefully considering other variables that may affect pollution reduction and carbon reduction through benchmark regression analysis. Finally, exploring the diversity and specificity of the impact of the Electric power big data economy on pollution reduction and carbon reduction from different dimensions - regional economic differences, Electric power size classification, and specific backgrounds of each city's development stage aims to provide targeted strategic recommendations for policymakers, ensuring the coordinated promotion of the healthy development of Electric power big data economy and environmental protection goals.

关键词： Economics Analytical models Pollution Biological system modeling Urban areas Carbon dioxide Big Data Benchmark testing Data models power systems

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Probabilistic power Flow Optimization of Source-Network-Load-Storage in Ac/Dc Systems Based on SOC Characteristics

SSRN

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SSRN 2023年

作者： Shu, Hongchun Dai, Yue Liao, Mengli State Key Laboratory of Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming650500 China

As the uncertainty of both sources and loads in the power system increases, energy storage systems (ESS) as regulation resources has been widely used, and quantitative power flow optimization calculations are no longer suitable for new power system. In this paper, an uncertain power and load model is constructed, which utilizes probability attributes to convert variables into quantitative variables and takes into account the uncertainty correction of users' response to the time of use electricity price on the load side. Build an ESS model considering state of Charge (SOC), and divide the operating states. Based on the source-load-energy storage configuration, a power flow model for the AC/DC system containing VSC converters is established. Using the minimum economic cost and minimum loss of the system, as well as the minimum voltage deviation of the line, as evaluation indicators, a penalty function is introduced to establish a multi-objective optimization model for source-generation-transmission-load-energy storage. Conduct extensive simulation calculations on the probability optimized power flow model of the improved IEEE 30 node system. The results show that after the statistical model of source network load storage is optimized, the evaluation index is improved, and the capacity change and state switching of ESS are optimized. © 2023, The Authors. All rights reserved.

关键词： Electric power transmission

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Local Outlier Factor Based Condition Monitoring for Sub-Module Capacitors in Modular Multilevel Converters

SSRN

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SSRN 2023年

作者： Jiang, Yaoxi Shu, Hongchun Zhang, Junjie State Key Laboratory of Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming650500 China

Modular multilevel converters (MMC) as a key technology for future power grids is rapidly developing. The failure rate of sub-module (SM) capacitors is only lower than that of power devices in MMC, so accurate evaluation of the reliability of capacitors is crucial for MMC. Both the increase of equivalent series resistance (ESR) and decrease of equivalent series capacitance (ESC) are features for capacitor deteriorating. If the value of ESC drops to a limited value, it indicates that the end of its lifespan and the capacitor must be replaced. Most contemporary research work only focus on ESC and ignore ESR. This article considering the characteristics of both ESC and ESR, proposes a method for monitoring the status of SM capacitors based on machine learning algorithm: local outlier factor (LOF). By utilizing the existing SM switching function and capacitor voltage signals within a fundamental frequency cycle in the control system, the condition of capacitors in each SM can be effectively monitored. The monitoring program can be packaged and embedded into the control system without requiring any additional hardware or control changes, significantly reducing complexity and computational burden. The proposed method is verified by the hybrid MMC model on Matlab/Simulink. © 2023, The Authors. All rights reserved.

关键词： MATLAB

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Distributionally Robust Chance-Constrained Optimization Dispatch Method for New power Systems with Virtual Energy Storage

Distributionally Robust Chance-Constrained Optimization Disp...

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power System and Green Energy Conference (PSGEC)

作者： Xiaowei Ma Xiaoning Kang Min Gao Jiaqi Song Jinjun Lu Yuhao Gu School of Electrical Engineering Xi’an Jiaotong University Xi’an China Northwest Branch of State Grid Corporation of China Xi’an China NARI Group Co. Ltd. (State Key Laboratory of Smart Grid Protection and Control) Nanjing China

ISBN: (数字)9798350365573

ISBN: (纸本)9798350365580

Addressing the issue of renewable energy integration caused by large-scale wind power grid connection, a novel electric power system distributed robust joint chance-constrained (DRJCC) optimization dispatch model incorporating captive power plants with virtual energy storage (VES), wind, thermal, and hydropower units is proposed. Initially, considering that high-energy-consuming enterprises' self-provided power plants (SPPPs) can accept the unified dispatch of the public grid, three operational modes for the SPPPs as VES participating in the main grid interaction and their call costs are presented, and a two-stage stochastic optimization model for the new power system including VES is constructed. Subsequently, a data-driven DRJCC approach is utilized to address the uncertainty in wind output, constructing a fuzzy set of probability distributions for uncertain variables based on the Wasserstein distance, and expanding the original stochastic optimization model to a W-DRJCC optimization model. Further, by applying strong duality theory, Bonferroni inequality, and Conditional Value-at-Risk (CVaR) approximation, the proposed distributed robust model is transformed into a mixed-integer linear programming problem for solution. Finally, case analyses on an improved RTS-24 power system demonstrate that the proposed method can balance economic efficiency and robustness, offering significant insights for the construction of operational modes for enterprises' SPPPs to participate in grid interaction.

关键词： Fuzzy sets Costs Optimization models Electricity Stochastic processes Hydroelectric power generation Robustness power systems Optimization Energy storage

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Wind-Storage Coordinated control Strategy for Inertia Enhancement of High Ratio Renewable Energy power Systems

SSRN

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SSRN 2023年

作者： Shu, Hongchun Dong, Haifei Wang, Guangxue Chen, Jing Han, Yiming Tang, Yutao State Key Laboratory Collaborative Innovation Center for Smart Grid Fault Detection Protection and Control Jointly Kunming University of Science and Technology Kunming650500 China

The replacement of thermal power units with renewable energy power generation equipment like wind and photovoltaics has decreased the inertia level of power systems and weakened the frequency stability of the power grid. In order to improve the inertia level of the new power systems and strengthen the inertia support capability of the renewable energy power system to the grid, a wind-storage coordinated control strategy for the inertia enhancement of high-proportion renewable energy power system is proposed in this paper. A time domain model of the inertia response of the wind-storage coordinated control system is also established. An inertia level enhancement strategy of virtual inertia and virtual sag coordinated control of wind-storage joint system is proposed. It improves the system inertia using the analysis results of system inertia requirements as data support and considering the characteristics of battery storage with fast charging and discharging response, and flexible capacity configuration. In addition, the effectiveness of energy storage system (ESS) participation in system inertia enhancement is guaranteed by proposing energy storage based on the ESS state of charge (SOC), which participates in the inertia of the new energy power system to enhance the control coefficient adaptive strategy. Finally, a comparative analysis is carried out using RTLAB simulation test to verify the effectiveness of the method proposed in this paper. © 2023, The Authors. All rights reserved.

关键词： Frequency response

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Research on Static Voltage Stability Index of Regional power Network with New Energy Stations Based on Voltage Stability Criterion

Research on Static Voltage Stability Index of Regional Power...

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IEEE Conference on Energy Internet and Energy System Integration (EI2)

作者： Qifei He Feng Qi Shen Wang Yuan Zeng Hao Sheng Junlong Ma National Electric Power Dispatching and Control Center State Grid Corporation of China Beijing China Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin China

With the increasing penetration of new energy, the problem of static voltage stability of power grid has become increasingly prominent, and there is an urgent need for a static voltage stability analysis method to simultaneously evaluate the new energy stations and load buses in a region. To solve this problem, this paper proposes a static voltage stability index based on the voltage stability criterion, which is used to judge the voltage stability of new energy station buses and load buses in the regional network. Firstly, based on the Thevenin equivalence method, the power network with a high proportion of new energy is equivalent to a single machine single load system; Secondly, the analytical static voltage stability index is derived based on the voltage stability criterion; Then the mechanism of this index is compared with L index from the analytical formula, and the reasons for the error of L index in the case of heavy load and large new energy generation are described; Finally, the validity and accuracy of the proposed index in judging the static voltage stability of new energy stations and load buses are verified based on the modified IEEE 3-unit 9-bus example with new energy stations.

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