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4th International Conference on Energy power and Automation Engineering, ICEPAE 2023

作者： Li, Shuona Ma, Wei Liu, Zhao Duan, Yuge Tian, Chengwei School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9789819988778

The data quality of numerical weather prediction has a great influence on the accuracy of wind power prediction technology. In order to improve the short-term forecasting effect of wind power, we proposed a combined LSTM-TCN forecasting model based on NWP error correction model with TimeGAN. First, minimal redundancy maximal relevance (mRMR) algorithm is used to extract original NWP features and measured meteorological features, respectively. Then, TimeGAN is used to correct initial NWP data according to the internal hidden associations with the measured weather features. After that, the corrected NWP features combined with historical wind power are applied to establish a wind power short-term prediction hybrid model based on LSTM and TCN network. Finally, the performance of the hybrid model is tested by a wind farm dataset in China, which verified effectiveness of this method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wind power

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Breakdown phenomena caused by electrical tree degradation in high density polyethylene under high frequency voltage

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Gaodianya Jishu/High Voltage Engineering 2007年第12期33卷 14-18页

作者： Zhou, Yuan-Xiang Xing, Xiao-Liang Nie, Qiong Wang, Yun-Shan Wang, Ning-Hua Liang, Xi-Dong Guan, Zhi-Cheng State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing 100084 China

The shape change of electrical tree propagating in ice-water quenched high-density polyethylene (HDPE) film under AC voltage of different frequency ranging from 50 Hz to 90 kHz as well as the breakdown phenomena caused by the treeing degradation under high frequency condition were studied. The electrical treeing aging experiment is carried out at room temperature. The shape change of electrical tree and the arcing process during the experiment is observed via a digital micro-observing system. It is found that the arcing process can be obviously observed under a high frequency voltage compared with that under low frequency voltage. It is also found that under different frequency voltages the electrical tree initiation shape is different. Most of the electrical trees are branch-shape tree under lower frequency voltage. When the frequency is higher than 5 kHz, trunk-shape tree and bosk-like tree appears. Once the frequency is higher than 50 kHz, breakdown tree can be found out. It is shown that the tree shape conversion is influenced by the frequency. The electrical tree usually has a simple shape and rarely changes under low frequency voltage in one hour or more. However, under a high frequency voltage, the electrical tree shape changes more frequently and has a large probability to breakdown. The influence of frequency on material polarization process, fatigue and thermo effect is considered as the main causes of the experiment results. The more serious destruction caused by high frequency electrical treeing degradation can well explain the reason of insulation premature inactivation in mid-frequency or high-frequency electrical equipment.

关键词：聚乙烯树老化电树形态转换击穿频率

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Retraction notice to “Multi-objective planning of microgrid based on renewable energy sources and energy storage system” [J. Energy Storage 68 (2023) 107803]

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Journal of Energy Storage 2025年 117卷

作者： Hao Tian Keqing Wang Xiufeng Cui Zexi Chen Ergang Zhao Sara Saeedi School of Automation Wuxi University Wuxi 214105 China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100086 China Beijing Sifang Engineering Co. Ltd Beijing 100085 China State Grid Beijing Urban Power Supply Company Beijing 100034 China Electrical Engineering Department Sun-Life Company Baku Azerbaijan

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Wind power generation Capacity Evaluation Based on Correlation Analysis of Adjacent Wind Farms

Wind Power Generation Capacity Evaluation Based on Correlati...

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2021 IEEE Sustainable power and Energy Conference, iSPEC 2021

作者： Sun, Shuxin Qiao, Ying Lu, Zongxiang Ma, Yanhong Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Beijing100084 China State Grid Gansu Electric Power Company Wind Power Technology Center Lanzhou730050 China

ISBN: (纸本)9781665414395

Accurate assessment of the power generation capacity of the wind farm is the key basis for incorporating it into power system scheduling and other optimizing operation activities. Traditional evaluation methods, such as benchmarking wind turbine method, have higher requirements for input data, but many wind farms in operation for many years are difficult to meet such data conditions. A new power generation capacity evaluation method based on correlation analysis of adjacent wind farms is proposed in this paper. Meteorological data and power of adjacent wind farms are used as replaced input data based on correlation analysis between the target farm with its adjacent farms. First, anticipate wind speed data and then construct the wind power curve with three different neural networks to evaluate power generation capacity. Afterwards, adjacent wind farms are used as data sources to fit the power data of the target wind farm with the application of influence radius method, inverse square distance method and bilinear interpolation method. Finally, combined with data in the actual case, investigate the advantages and disadvantages of different methods in the evaluation of power generation capacity. © 2021 IEEE.

关键词： Time delay

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Probabilistic substation fault diagnosis considering instrumentation channels and heterogeneous information: A unified Bayesian network model

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Qinghua Daxue Xuebao/Journal of Tsinghua University 2014年第10期54卷 1384-1390页

作者： Mu, Jianan Sun, Hongbin Wu, Wenchuan Guo, Qinglai Zhang, Boming State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Department of Electrical Engineering Tsinghua University Beijing100084 China

Fault diagnosis plays an important role in improving power network troubleshooting capability. Conducting local fault diagnosis in substations can make full and quick use of abundant local information. A substation fault diagnosis method was presented based on Bayesian network to adapt to a wealth of information and distributed autonomy under smart grid environment. The method is effective in dealing with uncertainties induced by malfunctions of protection relays and circuit breakers as well as instrumentation channel errors. Heterogeneous information available in substations, such as sequence of events (SOEs), wave records and blocking signals, was also integrated into the method, with the junction tree algorithm used to conduct probabilistic reasoning. The results show that breaker SOEs can be better utilized when considering instrumentation channels. Furthermore, introduction of wave records and blocking signals can significantly improve diagnosis accuracies. ©, 2014, Press of Tsinghua University. All right reserved.

关键词： Bayesian networks

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Research on reliability of Ad hoc network communication in UAVs formations 6

Research on reliability of Ad hoc network communication in U...

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6th IEEE International Symposium on Electromagnetic Compatibility, ISEMC 2019

作者： Li, Yanchu Li, Shufang Ding, Qingqing Wang, Chao School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Tsinghua University Dept. of Electrical Engineering Beijing China

ISBN: (纸本)9781728144160

As an important performance index of the UAV Ad hoc network, network reliability is a great significance for the performance evaluation of the UAV network system, and provides a direction for the selection of the UAVs formations. In this paper, based on the 3D Gauss Markov moving model, we modeled the motion mode of the UAV group. By using the Weibull distribution to sample the failure of the fleet, and through the correlation matrix which characterizes the connectivity state of network nodes in the time domain, we studied and compare the reliability of the self-organizing network of the UAV group with different formations. It provides a basis for selecting the formations of the UAVs for different network requirements. © 2019 IEEE.

关键词： Reliability

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Evaluation Method of Wind power Consumption Limitation in power System with High Proportion of Wind power 4

Evaluation Method of Wind Power Consumption Limitation in Po...

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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Wang, Hongye He, Li Lin, Xuelong Ma, Jing An, Baihui Yang, Weixiang Xu, Fei Hou, Tao Li, Jing Feng, Changsheng Li, Junhui Co. Ltd Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781728171494

In order to study the reasonable capacity of power grid to absorb wind power, a new calculation method is proposed for the combined system of thermal power and wind power. In this paper, the probability and statistics method is used to analyze the output characteristics of wind farm, and the influence of characteristic index on wind farm is studied. A new calculation method of wind power limit is proposed, and the influence of seasonal factors is introduced to study the situation of wind power limit in summer and winter. Through the actual example, the idea and method are provided to formulate the control principle of wind power output, and the rationality and effectiveness of the proposed method are verified. © 2021 IEEE.

关键词： Electric power utilization

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Effect of UV radiation aging on creepage discharge characteristics of high temperature vulcanized silicon rubber at high altitude

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Plasma Science and Technology 2019年第5期21卷 23-33页

作者： Fubao JIN Yuanxiang ZHOU Bin LIANG Xidong LIANG Zhongliu ZHOU Ling ZHANG Key Laboratory of Plateau Ecology and Agriculture College of Agriculture and Animal HusbandrySchool of Water Resources and Electric PowerQinghai UniversityXining 800016People's Republic of China State Key Lab of Control and Simulation of Power Systems and Gen eration Equipments Departme nl of Electrical EngineeringTsinghua UniversityBeijing 100084People's Republic of China

The physicochemical properties and creepage discharge characteristics of aged high temperature Vulca nized(HTV)silicone rubber materials were investigated by ultraviolet radiati on(UV)aging method in this *** experimental results show that as the aging time increases,the creepage discharge flashover voltage increases first and then *** the aging time has little effect on the creepage discharge inception *** the aging time prolonged,the discharge endurance time of HTV silicone rubber is shortened,and the creepage discharge development velocity is *** the short time of applying voltage to aging material,the magnitude of discharge in creases *** to the partial discharge characteristic parameters of creepage discharge,the whole creepage discharge process is partitioned into four *** with unaged HTV silicone rubber,the aged HTV silicone rubber has less fluctuation in performance parameters and a clear *** study found that UV aging not only affects the physicochemical and hydrophobic properties of the HTV silicone rubber,but also accelerates the development of creepage discharge under AC voltage.

关键词： high temperature vulcanized silicone rubber creepage discharge UV aging inception voltage flashover voltage high altitude characteristic parameters

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Capacity Configuration of Battery Energy Storage System for Photovoltaic generation System Considering the High Chargerate 10

Capacity Configuration of Battery Energy Storage System for ...

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2020 10th International Conference on power, Energy and Electrical Engineering, CPEEE 2020

作者： Li, Jiaming Qiao, Ying Liu, Guojing Lu, Zongxiang State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Beijing100084 China Economic Institute of Technology State Grid Jiangsu Electric Power Company Nanjing210005 China

Battery energy storage system (BESS) is one of the important solutions to improve the accommodation of large-scale grid connected photovoltaic (PV) generation and increase its operation economy. However, the strong intra-day volatility and severe curtailment of PV power sets a high demand of BESS charge-rate that is a key factor in operation models but ignored in current planning researches. This paper proposes a BESS capacity configuration model for PV generation systems which takes BESS's ability to (dis)charge exceeds its rated power into account. The best charge-rate and power & energy capacity of BESS are optimized by particle swarm optimization (PSO) algorithm. Through an analysis of the annual output statistics of PV power station in the northwest of China, the results show that when considering the high charge-rate of BESS, the optimal BESS capacity configuration rises and comprehensive income of the PV-BESS system will increase. © 2020 The Authors, published by EDP Sciences.

关键词： Battery storage

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Digital power system

Digital power system

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World Congress on Intelligent control and Automation (WCICA)

作者： Lu Qiang State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments China

The concept of a digital power system (DPS) is set forth in the paper. The definition, the contents, the function, the hardware and the software conditions for implementing it are discussed. Moreover, the necessary basic research work for implementing a DPS is also discussed. The DPS may be defined like this: the digital power system is the digital, figuration and real time description and reappearance of physical structure, technical characteristic, management system as well as personal information system of a real power system which is in operation. The DPS will be able to make a significant contribution to administrating and decision-making more scientifically, improving security and stability online, online making and implementing economical operation strategy and carrying out emergency and anti-fault control, etc.

关键词： power system control

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