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8th IEEE International Conference on Advanced power system Automation and Protection, APAP 2019

作者： Tu, Qingrui Li, Yiquan Liu, Wei Deng, Xuyang Jiao, Shaolin Wang, Zengchao Wu, Ziliang Suo, Jianglei Shi, Dongyuan System Operation and Control Center of Guangdong Power Grid Guangzhou China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9781728117225

Although the ac fault current provided by photovoltaic (PV) power plant is limited as a weak-infeed power or a electric load, the voltage and current directions are different from conventional synchronous source, since the current is highly controlled by the PV inverter. This paper investigates the measured impedance and the distance directional element of PV side line protections. The impedance trajectory are drawn and compared with conventional power source. Simulation result shows that the directional comparison teleprotections may miss operate under a line internal fault, since the measured impedance drops into the negative direction area, even though the weak-infeed tripping function is activated. © 2019 IEEE.

关键词： Risk assessment

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Erratum to: Effect of ambient pressures on laser-induced breakdown spectroscopy signals

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Frontiers of Physics 2024年第4期19卷 1-1页

作者： Zhang, Kaifan Song, Weiran Hou, Zongyu Wang, Zhe State Key Laboratory of Power System Operation and Control Tsinghua-Rio Tinto Joint Research Centre for Resources Energy and Sustainable Development International Joint Laboratory on Low Carbon Clean Energy Innovation Institute for Carbon Neutrality Department of Energy and Power Engineering Tsinghua University Beijing China Shanxi Research Institute for Clean Energy Tsinghua University Taiyuan China

The pressure legend in Fig. 6(a) was incorrectly labeled and has been updated in this new version.

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Research on Real-time Simulation of Wide Area Out-of-step system in CSG

Research on Real-time Simulation of Wide Area Out-of-step Sy...

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

作者： Lifan Mao Dongxu Chang Ruicai Liu Yihua Zhu Hengdao Guo MingKang Wu Power Dispatching and Control Center Hainan Power Grid Co.Ltd Haikou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9781728196060

ISBN: (纸本)9781728196077

In order to study the action characteristics of wide area out-of-step system in CSG, the real-time simulation study based on RTDS is carried out. In this paper, a test system based on the actual devices and the settings are constructed, and the modeling methods of the important measurement such as the power angle of tie line, Ucos φ oscillation curve and the voltage at the installation point of device are studied. The operation characteristics of wide area out-of-step system are fully verified by several serious single or multiple fault cases. The analysis of the simulation results shows that the wide area out-of-step system can meet the design requirements of splitting speediness, simultaneity and selectivity, and can solve the problems of late splitting in the south channel of Guangdong and Guangxi section, as well as the problem that the system cannot recover stability after splitting Guangdong and Guangxi, Guizhou and Guangxi section simultaneously.

关键词： Voltage measurement Stability criteria power system stability Real-time systems Data models Transient analysis Oscillators

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An in-depth review of key technologies and pathways to carbon neutrality: classification and assessment of decarbonization technologies

Carbon Neutrality

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Carbon Neutrality 2025年第1期4卷

作者： Wang, Zihe Sun, Yueqiao Kong, Hui Xia-Bauer, Chun School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Power System Operation and Control Department of Thermal Engineering Tsinghua-BP Clean Energy Center Tsinghua University Beijing100084 China Wuppertal Institute for Climate Environment and Energy Döppersberg 19 Wuppertal42103 Germany

With the intensification of global climate change, carbon neutrality has become a crucial objective for achieving sustainable development, which critically requires systematic technological innovation and collaborative cooperation between technologies and countries. Through categorization and comprehensive technological assessments, a thorough examination of relevant technologies can furnish a framework to guide emission reduction efforts across various sectors. This review seeks to explore the methods by which various countries achieve carbon neutrality technology systems and pathways, with an in-depth study of the differences between the technological approaches and systems in China, the United states, and European countries. The construction of technology systems in several countries is reviewed, from the composition of the systems to the assessment of technologies that include indicators such as carbon reduction potential. Building upon an analysis of key technological pathways in renewable energy, carbon capture, utilization and storage, energy efficiency improvement, and hydrogen energy across different countries, a systematic evaluation is conducted from three key dimensions—policy formulation, resource endowment, and industrial foundation—to identify the similarities, differences, and driving factors in the construction of carbon neutrality technology systems among nations. Based on the previous work, we conducted a comparative analysis and summary of carbon neutrality pathways across various countries worldwide, systematically reviewing and evaluating carbon neutrality technologies in power generation, industry, transportation, and building sectors. Building upon these findings, the study offers recommendations for coupling diverse technological approaches and for international cooperation. By comparing international experiences and practices, this study provides operational references for countries in formulating technology planning and emission reduction

关键词： Decarbonization

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Fault Diagnosis of Railway Turnout Based on Random Forests 4th

Fault Diagnosis of Railway Turnout Based on Random Forests

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4th International Conference on Electrical and Information Technologies for Rail Transportation, EITRT 2019

作者： Zhang, Huiyue Wang, Zhipeng Wang, Ning Long, Jing Tao, Tao State Key Lab of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China National Engineering Laboratory for System Safety and Operation Assurance of Urban Rail Transit Beijing Jiaotong University Guangdong China Beijing Research Center of Urban Traffic Information Sensing and Service Technologies Beijing Jiaotong University Beijing China

ISBN: (纸本)9789811528651

The turnout is a key component of the railway infrastructure systems and is considered as a critical issue about the train operation safety. Therefore, the fault diagnosis research of the turnout is important. However, the existing methods of the fault diagnosis for the railway turnout have the problems such as low efficiency, inability to meet timeliness, and insufficient accuracy. To solve these problems, this paper presents a fault diagnosis method based on random forests. The random forests algorithm builds many CART decision tree classifiers, and introduces two random procedures: i.e., random samples and random features, to enhance the diversity of each decision tree classifier. The final classification result is obtained by majority voting method, which improves the execution speed and classification accuracy. In this paper, a case study is also presented by using the electric power data of the S700K switch machine, and the random forests classification model is constructed. The result shows that the random forests algorithm can accurately and quickly give the diagnosis results for the status of the railway turnout. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Failure analysis

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Multi-channel attention mechanism graph convolutional network considering cumulative effect and temporal causality for day-ahead wind power prediction

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Energy 2025年 332卷

作者： Mao Yang Renxian Jiang Bo Wang Guozhong Fang Yunpeng Jia Fulin Fan Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin 132012 China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100912 China State Grid Corporation of China Northeast Branch Liaoning 100031 China Grid Jilin Electric Power Co. Ltd. Jilin Power Supply Company of State Jilin 130021 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin 150001 China Institute for Energy and Environment University of Strathclyde Glasgow G1 1XW UK

Under the current situation where the proportion of wind power generation in the existing energy structure is gradually increasing, accurate short-term power prediction of wind farm cluster (WFC) plays an important auxiliary role in the formulation of regional power generation plans. However, it is difficult to clarify the correlation between wind farms in the power prediction of WFC, which leads to the difficulty of stable and accurate prediction. Therefore, this paper proposes a short-term power prediction method for WFC considering wind power cumulative effect (CE) and temporal causality (TC). Firstly, the two relationships (CE and TC) between wind farms are clarified and used to construct an adjacency matrix separately, then the error characteristics (EC) are used to form an adjacency matrix as well. Secondly, the adjacency matrix information with different attributes is fused by the multi-channel attention mechanism to obtain the wind power prediction results. Finally, the proposed method is applied to three WFCs in China, by which the universality and effectiveness of the method is verified. Compared with the traditional prediction method, its RMSE is reduced by 1.55 %, 1 % and 3.4 % on average.

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A novel smart community: Combining a flexible heating system as electrical demand response to enhance local renewable energy integration

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International Journal of Electrical power & Energy systems 2025年 169卷

作者： Yufei Xi Yuguang Song Meng Chen Jiansheng Zhang Lin Cheng Zhe Chen State Key Laboratory of Power System Operation and Control Tsinghua University Beijing 100084 China Department of Electrical Engineering Tsinghua University Beijing 100084 China Department of Engineering University of Cambridge Cambridge CB2 1PZ UK Department of Energy and Power Engineering Tsinghua University Beijing 100084 China AAU Energy Aalborg University Aalborg 9220 Denmark

Due to ineffective coordination, energy communities integrating wind turbines (WTs) and photovoltaic/ photothermal (PV/PT) systems often fail to fully harness local renewable energy sources. To overcome this challenge, this paper proposes a novel smart community (SC) framework that incorporates a flexible heating system (HS). The proposed HS facilitates dispatchable solar power generation and responsive heat–electricity demand management by integrating medium-high-temperature photothermal (MHTPT) and ground-source heat pump (GSHP) technologies. Meanwhile, a dual-objective scheduling model is formulated to minimize the operating costs and carbon emissions of the SC system, and its effectiveness is validated through case studies. A hybrid solution architecture combining branch-and-reduce with multi-learning-task is proposed to efficiently solve the mixed-integer nonlinear programming (MINLP) model and generate multiple optimal Pareto solutions. Case studies on different system configurations validate the superior performance of the proposed SC in reducing operating costs and carbon emissions while enhancing local renewable energy integration. Additionally, the impact of varying renewable on-grid tariffs on SC system operations is analyzed.

关键词： Smart community Flexible heating system Medium-high-temperature photothermal Demand response Load shaping Renewable energy integration Dual-objective optimization

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Research on the dispatch proportion of battery capacity in photovoltaic primary frequency control 3

Research on the dispatch proportion of battery capacity in p...

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3rd IEEE Conference on Energy Internet and Energy system Integration, EI2 2019

作者： Han, Zhijun Luo, Gang Song, Xinrui Yang, Caiming Zhang, Lizong Jia, Yanbing Zhao, Zhou Jin, Yuanwen State Grid Zhejiang Power Co. Ltd. Hangzhou China State Grid Shaoxing Power Supply Company Shaoxing China Taiyuan University of Technology Shanxi Key Lab. of Power System Operation and Control Taiyuan China Shaoxing Jianyuan Power Group Co. Ltd. Shaoxing China

ISBN: (纸本)9781728131375

It is an inevitable problem of frequency control with the increasing capacity of PV connected into large-scale grid. In order to resolve the problem of the contradiction between the increasing demand and dressing supply capacity of frequency control, the requirement of relevant technical for PV to take part in primary frequency control is put forward. The battery-assisted frequency control system is introduced, and the primary frequency control effect can be improved by using its fast response characteristic. In this paper, the ratio of battery output to all power output is used to analyze the primary frequency control gain of the battery participating in the frequency control of the PV plant. The simulation results show that the larger proportion of energy storage system output can bring better frequency control capacity, reduce frequency fluctuations and improve system stability. © 2019 IEEE.

关键词： system stability

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Frequency Regulation Energy Storage Utility Evaluation Based on Different power Supply Structures

Frequency Regulation Energy Storage Utility Evaluation Based...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Hao, Chen Yong, Sheng Yanbing, Jia Jin, Zheng Tianhao, Song Gang, Luo Dong, Xie Shanxi Key Laboratory of power system operation and control Taiyuan University of Technology Taiyuan China Shaoxing Jianyuan Power Group Co. Ltd China State Grid Zhejiang Electric Power Company Shaoxing Power Supply Company Shaoxing China

ISBN: (纸本)9781728135205

The large-scale energy storage with fast, accurate and instantaneous throughput capability undertakes automatic generation control (AGC) to provide a high-quality resource for secondary frequency regulation(FR) in each control area. In order to allocate a reasonable-scale energy storage resource to the application scenarios of different power structure features, a storage capacity allocation method using CPS (control Performance Standard) index evaluation is proposed. Firstly, for the two power supply structures based on thermal power and hydropower formed in China, a simulation model of thermal power and hydropower interconnection system is proposed. Then, through the simulation to quantify the contribution degree of energy storage, it is verified that the energy storage FR requirements of different scenes are different, and the performance extremes and economic extremes of energy storage capacity configuration in different scenarios are obtained by using CPS performance evaluation indicators and their improvement. The proposed model and research results have important guiding significance for rational planning of energy storage capacity in each control area. © 2019 IEEE.

关键词： Energy storage

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High cycle fatigue limit prediction of machining foreign object damaged TC17 titanium specimen based on the theory of critical distances

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Scientific reports 2025年第1期15卷 19585页

作者： Kainan Lu Yibo Shang Chen Wang Bin Li Xiaosheng Zhang Lingfeng Wang Zhenhua Zhao Liucheng Zhou Wei Chen Jiangsu Province Key Laboratory of Aerospace Power System College of Energy and Power Engineering Nanjing University of Aeronautics and Astronautics Nanjing 210000 China. Fundamentals Department Air Force Engineering University Xi'an 710051 China. ableshang@***. National Key Lab of Aerospace Power System and Plasma Technology Air Force Engineering University Xi'an 710038 China. ableshang@***. Fundamentals Department Air Force Engineering University Xi'an 710051 China. National Key Lab of Aerospace Power System and Plasma Technology Air Force Engineering University Xi'an 710038 China. Jiangsu Aero-XY Technology Co. Ltd Wuxi 214000 China. State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing 210000 China. zhaozhenhua@***. National Key Lab of Aerospace Power System and Plasma Technology Air Force Engineering University Xi'an 710038 China. happyzlch@***.

Aircraft engine fans and compressor blades are inevitably subject to external damage during service. It's an important work to predict the high cycle fatigue limit of foreign object damaged blades. In this paper, machining aerofoil specimens were manufactured to simulate the foreign object damaged blade, and the high cycle fatigue limit of machining foreign object damaged TC17 titanium aerofoil specimen were tested at 3 × 10 cycles, and a high cycle fatigue limit prediction model of machining foreign object damaged TC17 titanium aerofoil specimen was built based on the theory of critical distances, and compared with the Peterson model. The prediction error is 9.56 ± 6.78% for theory of critical distance model and 59.76 ± 16.93% for Peterson model. The accuracy of fatigue limit prediction on notched samples using theory of critical distance model is much higher than that of Peterson model, and the theory of critical distances method model is more efficient to evaluate the fatigue strength of notched blade.

关键词： Foreign object damage High cycle fatigue limit The theory of critical distances Titanium alloy

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