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Electrical Engineering and Automation (IFEEA), International Forum on

作者： Zhuomin Zhou Jian Liang Aiqin Yu Zhengbin Qin Haotian Liu Yanchao Sheng Wei Guo Development Planning Department Hunan Key Laboratory of Energy Internet Supply Demand and Operation State Grid Hunan Electric Power Company Limited Changsha China Institute of Economic Research Hunan Key Laboratory of Energy Internet Supply Demand and Operation State Grid Hunan Electric Power Company Limited Changsha China Institute of Economic Research State Grid Xiangtan Electric Power Company Limited Changsha China R&D Department Three Gorges Intelligent Industrial Control Technology Co. Ltd. Wuhan China

The main technical issues for small hydropower currently are aging equipment and insufficient intelligence level, which cannot effectively support the development of new power systems. To solve this problem, this paper proposes an end-edge-cloud technology architecture for intelligent control of small hydropower. Specifically, an intelligent sensing architecture for small hydropower units is proposed, which can fully sense the operating conditions of small hydropower units. An edge computing PLC with IOT functions is proposed, which can effectively integrate the speed regulation, excitation, monitoring and protection algorithms of small hydropower units, and can greatly simplify the complexity of control systems. At the same time, the edge computing PLC transmits the on-site operation data to the cloud platform through high-density compression transmission, and uses big data analysis and processing technology to realize centralized monitoring and remote operation and maintenance of small hydropower stations within the province. Finally, the intelligent sensing, integrated edge control device and cloud platform proposed in this paper are technologically verified at a small hydropower station in Jingshan Reservoir, and the results fully demonstrate the effectiveness of this technical architecture.

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Multi-task Transient Contingency Screening with Temporal Graph Convolutional Network in power Systems 5

Multi-task Transient Contingency Screening with Temporal Gra...

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2021 5th International Conference on Electrical, Automation and Mechanical Engineering, EAME 2021

作者： Su, Yinsheng Huang, Jiyu Yao, Haicheng Guan, Lin Guo, Mengxuan Zhong, Zhi Department of Power System Operation China Southern Grid Co. Ltd. Guangzhou510641 China School of Electric Power South China University of Technology Guangzhou510641 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China

Rapid transient stability assessment (TSA) is an essential requirement for power system security. In real-world applications, transient contingency screening (TCS) applies TSA approaches to address the pre-defined contingency sets under online operation conditions. TSA by time domain simulation (TDS) is time-consuming, hence we propose a high-speed temporal graph convolutional network (TGCN) that achieves TSA decisions such that a large-scale contingency set can be scanned quickly with enough precision. Based on multi-graph inputs to reflect the transient process, the TGCN utilizes the graph convolutional network (GCN) to extract topology representations and temporal convolution (TC) layers to encode temporal relations. After above graph embedding, two downstream networks are designed for stability classification and critical generator prediction, respectively. Test results on IEEE 39 Bus system demonstrate its superiority over existing models under different operation topologies, fault locations and clearing modes. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Convolution

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Thermal simulation optimization of DC charger based on ANSYS Icepak

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

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Prognostics and System Health Management Conference (PHM-Qingdao)

作者： Yu Wang Feiyu Zhou Tan Wen Yan Su Li Yuan Ke Wang 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

As one of the most important charging facilities for electric vehicles, DC chargers provide power supplements for electric *** 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.

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Self-organizing Network of Self-energy Sensors for Transmission Line Status Monitoring

Self-organizing Network of Self-energy Sensors for Transmiss...

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Advances in Electrical Engineering and Computer Applications( AEECA), 2020 IEEE International Conference on

作者： Bo Feng Wei Zhang Xiaofei Xia Jie Tang Peng Liu Guangxi Key Laboratory of Intelligent Control and operation and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning Guangxi China Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning Guangxi China Guagnxi Power Grid Co. Nanning Guangxi China

Transmission line condition monitoring sensor network is large in scale and difficult to maintain. Its long chain network topology is different from that of general wireless sensor networks. It is necessary to develop a self-organizing sensor network with self-energy harvesting. In this regard, a three-layer network model is designed. Three types of node models are constructed. The sensor nodes implement round-robin sleep/wake and energy management mechanisms, powered by self-harvested energy. Additionally, reliable routing between nodes is established. Simulation results show that the developed simulation model is suitable for the application of transmission line condition monitoring. The expected functions of each module have been basically realized, and the stable and reliable transmission of perceived data of key components of transmission lines has been achieved, thereby providing technical and data basis for the deployment of practical networks.

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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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Research on Communication Schemes for Digital-Physical Hybrid Simulation of the SSCS

Research on Communication Schemes for Digital-Physical Hybri...

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

作者： Qitao Liu Jianbing Xu Haibo Xu Zhao Ding Manli Li Jinhua Ren Zhaoyang Yin State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation (State Grid Electric Power Research Institute) NARI Technology Co. Ltd Nanjing China NARI Group Corporation (State Grid Electric Power Research Institute) State Key Laboratory of Smart Grid Protection and Control School of Electrical of Engineering Southeast University Nanjing China

SSCS plays the essential role in power grid operation to ensure the control reliability and effectivity. Due to the power system becomes more complex, it is inevitable to improve the simulation technology for SSCS. Thus, a digital-physical hybrid simulation platform for SSCS is required. In this paper, the requirements of the digital-physical hybrid simulation platform are analyzed and focus on the design of communication schemes for digital-physical hybrid simulation. IEC61850 and Aurora based communication technical roadmaps are proposed for the communication between RTDS and DSSCHP. Also, two options are available for the communication between SSCDs and DSSCHP.

关键词： Ion radiation effects Analytical models Synchronous digital hierarchy System integration Real-time systems power grids power system reliability

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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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Microgrid Energy Management Strategy Considering Source-Load Forecast Error

SSRN

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SSRN 2023年

作者： Zhang, Kaikai Zou, Guibin Zhang, Jinliang Li, Houlei Sun, Yazhong Li, Guoliang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Shandong Province Ji’nan China State Grid Jinan Electric Power Company Shandong Province Jinan China State Grid Zaozhuang Electric Power Company Shandong Province Zaozhuang China

Hybrid energy storage system (HESS) can stabilize renewable energy power generation, but unreasonable energy storage power distribution and photovoltaic-load forecast errors will affect the economic benefits of the whole system. Aiming at the microgrid (MG) composed of photovoltaic (PV) and HESS, an energy management strategy (EMS) of MG considering forecast errors is proposed. Firstly, an optimization model considering the depreciation cost of battery is established. Secondly, day-ahead EMS is implemented under multiple operating modes considering minimum fluctuation and optimal economy. Then, according to the real-time forecast results and the feedback of system operation status, the intraday rolling energy management strategy (REMS) is developed to alleviate the impact of forecast errors. Finally, the real-time state of charge (SOC) of the supercapacitor (SC) is introduced to adjust the filter coefficient, which avoids the SC working in the charge/discharge restricted area for a long time and improves the adjustment effect. The results of the case analysis show that the proposed intraday REMS can effectively reduce the influence of forecast errors on energy management. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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Summary, Reflection, and Prospect of Wind power Development in China 5th

Summary, Reflection, and Prospect of Wind Power Development ...

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5th International Conference on intelligent Computing, Communication and Devices, ICCD 2019

作者： Zhou, Qiang Han, Xushan Lv, Qingquan Shen, Chenyun Wang, Mingsong Zhang, Zhenzhen State Grid Gansu Electric Power Company Electric Power Research Institute Lanzhou China Wind Power Engineering and Technology Center of Gansu Province Lanzhou China State Grid Gansu Electric Power Company Lanzhou China Gansu Key Laboratory of Renewable Energy Integration Operation and Control Lanzhou China

ISBN: (纸本)9789811558863

Wind power has made the most rapid development as a new form of energy of China in the past decade. The installed capacity of wind power and photovoltaic power generation has continued to increase. China’s total installed capacity of new energy ranks first in the world and has made remarkable achievements. Behind these remarkable achievements, there are also a series of problems, such as high abandoned wind and light rate of new energy, prominent problems of peak shaving and frequency modulation, difficulties of new energy consumption, and prominent problems of safety and stability. Based on this background, this paper systematically summarizes the development process of new energy in China in the past decade, summarizes the development experience, systematically analyzes the existing problems, and finally forecasts the future development prospects. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Wind power

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Enhancing power System Stability: A Machine Learning Approach with SVM, Random Forest and Deep Learning Utilizing Wide Area Measurements

Enhancing Power System Stability: A Machine Learning Approac...

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IEEE Student Conference on Electric Machines and Systems

作者： Chao Song Mengcan Tan Mingzhao Chu Chihan Zhou Guojie Tian Longfei Mu Shandong Future Intelligent Technology Co. Ltd Shandong Electrical Engineering & Equipment Group Co. Ltd Jinan China Fengtai Supply Company Distribution Operation and Maintenance Center State Grid Beijing Electric Power Company Beijing China Changyi Supply Company Marketing Department State Grid Shandong Electric Power Company Changyi China State Grid Kunming Power Supply Company Kunming China Shandong Tianyu Changtong Energy Group Co. Ltd. Qingdao China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (数字)9798350366945

ISBN: (纸本)9798350366952

As the scale and complexity of modern power systems continue to expand, the importance of system stability has become increasingly critical. To ensure the stable operation of the power system, this paper proposes a power system stability analysis and optimal control strategy based on the Wide Area Measurement System (WAMS). Initially, a novel stability evaluation method is established using WAMS data and machine learning techniques, enabling effective handling of complex power system data and providing accurate stability assessments. Following this, an optimal control strategy is designed based on the evaluation method, aimed at real-time adjustments of power resource allocation to enhance system stability and responsiveness. Simulation analyses confirm the effectiveness and reliability of the proposed approach, indicating that the optimized control strategy significantly improves the system's performance under disturbances. This paper presents an innovative method for the stable operation of integrated power systems, contributing to the enhancement of power supply quality within the grid and ensuring the safe and efficient operation of the overall power system.

关键词： Time-frequency analysis System performance Optimal control power system stability System recovery Stability analysis Real-time systems Wide area measurements Voltage control Thermal stability

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