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IEEE power and Energy Society General Meeting

作者： Teng Feng Xinzhou Dong Bin Wang Shenxing Shi Shuxin Luo Aoyu Lei Lanxi Tang State Key Lab. of Control and Simulation of Power System and Generation Equipment Dept. of Electrical Engineering Tsinghua University

ISBN: (纸本)9781509041695

Half-wavelength AC transmission (HWACT) is an ultra-long distance AC transmission technology, whose electrical distance is close to half-wavelength at the system power frequency. The countries with a large territory have a big demand for HWACT. The fault characteristics of an HWACT line can be different from those of a conventional transmission line. So it is necessary and significant to analyze the fault characteristics of an HWACT line. In this paper, the influence of fault distances and fault resistances on the fault voltages and currents of two buses is analyzed after different types of faults occur on an HWACT line. And the analysis results are compared with the simulation results from EMTP.

关键词： Fault characteristics Fault distance Fault resistance Fault type Half-wavelength AC transmission fault resistance half-wave AC power transmission faults electrical distance power frequency Electromagnetic Transients Program fault signature Analysis

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Effect of Vinyl Content on Mechanical Property and Electrical Tree Initiation in Silicone Rubber 2

Effect of Vinyl Content on Mechanical Property and Electrica...

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2nd IEEE International Electrical and Energy Conference, CIEEC 2018

作者： Sui, Jiangyuan Zhang, Ling Zhou, Yuanxiang Zhang, Xinyan Cheng, Zixia Guo, Shaowei School of Electrical Engineering Xinjiang University Urumqi830047 China State Key Lab of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing100084 China State Key Lab of Electrical Insulation and Power Equipment Xi'an Jiaotong University Xi'an710049 China School of Electrical Engineering Zhengzhou University Zhengzhou450001 China Electric Power Research Institute State Grid Jibei Electric Power Company Beijing100045 China

ISBN: (纸本)9781538653913

The vinyl content in methyl vinyl silicone oil has a significant impact on the mechanical and electrical properties of reinforced silicone rubber. In this study, mechanical property and electrical tree initiation of silicone rubber were studied by comparing different vinyl contents. The results show that shore hardness, tensile strength, elongation at break, and tear strength of insulating silicone rubber material increase first and then decrease with the of vinyl content increasing from 1% to 5%. The breakdown strength and the initiation voltage of electrical tree are basically consistent with the variation of tensile strength and tear strength. Detailed discussion are presented. This work could provide data support for the practical preparation of engineering silicone rubber. © 2018 IEEE.

关键词： Tensile strength

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Unit commitment considering demand response behavior based on utility maximization

Unit commitment considering demand response behavior based o...

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2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017

作者： Zhang, Yumin Han, Xueshan Xu, Bo Zhang, Li Sun, Donglei Miao, Xiaofeng Jiang, Jiayin Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China Economic and Technology Research Institute of State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Company Yantai Electric Power Company Yantai264001 China

ISBN: (纸本)9781538614273

The active participation of demand side resources in power grid operation not only benefits the individual participant but also benefits the whole system. The optimal goal can promote by excavating the active behaviors of demand side. The welfare maximization of market participant is the driving force of such active behaviors. Considering the independence of each user's behavior, the consumer's utility function is selected to depict consumer's preference and demand response behavior. In order to coordinate the consumers' maximum welfare with social welfare maximization, consumers' utility function and units' operation cost are integrated into Unit Commitment (UC) model. The objective function is to maximize social welfare, by subtracting units' operation cost from consumers' total utility, and this objective can be acquired. Considering the proposed model should be solved in a distributed manner, the idea of the centralized coordination and the decentralized decision-making is proposed. Based on the Lagrangian relaxation (LR) principle and distributed real-time pricing scheme, a closed-loop feedback mechanism is constructed to reflect the relationship among generator output, price level, and load demand. The ten generating units example can illustrate the effectiveness of the proposed method. © 2017 IEEE.

关键词： power markets

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Coordinated analysis of urban integrated energy-traffic networks based on real-world GPS data

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Energy Procedia 2018年 152卷 490-495页

作者： Tianyu Yang Qinglai Guo Chenhui Lin Luo Xu Hongbin Sun Department of Electrical Engineering Tsinghua University 100084 Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments 100084 Beijing China

The rapid growing scale of electric vehicles (EV) has brought benefit and impact on urban traffic network and the electric power system simultaneously by integrating these two systems together into a Cyber-Physical-Social System (CPSS) in energy. This paper presents a coordinated analysis method of the urban integrated energy-traffic network based on real-world GPS data from vehicles in Shenyang and Shenzhen, China. Case study shows that the integrated system will be affecting each other through the coupling interactions of EVs.

关键词： Electric vehicles (EV) Urban traffic network Cyber-Physical-Social System

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Application and Practice of Digital Twin Technology in Monitoring Status of power equipment in Converter Valve Hall

Application and Practice of Digital Twin Technology in Monit...

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Intelligent Communication and Computer Engineering (ICICCE), International Conference on

作者： He Yongsheng Deng Baojia Lu Zongxiang Zhang Shiling Dai Liangjun State Grid Chongqing Electric Power Company Electric Power Research Institute Deptartment of Electrical Engineering Tsinghua University State Key Lab of Control and Simulation of Power Systems and Generation Equipment

The internal power equipment of ultrahigh voltage converter valve hall is numerous and complex in structure, involving the various information elements such as the temperature and vibration. Moreover, the gas inside ultra-high voltage converter bushing is SF6 gas. Under the current over-load condition of the converter bushing, SF6 gas will decompose. This article focuses on the SF6 gas equipment inside the ultrahigh pressure converter valve hall as the research object, and analyzes specific types and content of SF6 gas decomposition products. In order to effectively detect gas content in the digital twin model of the converter transformer bushing, the new portable SF6 gas chromatograph, laser detection technology and device for HF gas, and partial discharge detection technology research using the acoustic electric coupling method are carried out, providing the effective means for onsite detection of hidden faults in operating equipment. Research has shown the digital twin technology can effectively detect the absorption spectra of gases such as O2, H20, CO, CO2, CF4, SO2, H2S, SOF2, and SO2F2. On the other hand, through digital twin partial discharge detection technology, it is effectively found that the SO2 inside the UHV converter sleeve is 29μL/L, H2S is 4μL/L, CO is 36μL/L, HF=0, detected SO2 and H2S components, determined as the insulation heating defect. The research results of paper provide theoretical and data support for operation status monitoring of SF6 gas insulated power equipment inside the ultra-high voltage converter valve hall.

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Study on High Impedance Grounding Fault Protection for Personal Safety Guard in Distribution Grid

Study on High Impedance Grounding Fault Protection for Perso...

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International Conference on Advanced power System Automation and Protection (APAP)

作者： Kun Liu Xin Cui Bin Wang Xinzhou Dong Dispatching and Controlling Center of Guangdong Power Grid Key Lab for Power System Protective Relaying Real Time Digital Simulation of Guangdong Power Grid Guangzhou China Tsinghua University Key Lab of Control and Simulation of Power Systems and Generation Equipment Beijing China

ISBN: (数字)9781728117225

ISBN: (纸本)9781728117232

In recent years, human electric shock accident caused by line fault of distribution system has happened all over the world. This kind of problem of high resistance grounding fault safety is becoming more and more the attention of the researchers. In this paper, typical arc high resistance grounding fault model is established to simulate the human electric shock accident and the line fell to the ground condition. The transient- state and steady-state fault characteristics of high resistance grounding fault are analyzed in the neutral point grounded through a small resistance grounding system and the resonant grounding system. The above analysis has laid a good foundation for the establishment of an effective fault detection method for high resistance grounding and the realization of human electric shock protection.

关键词： Grounding Immune system Resistance Harmonic analysis Transient analysis Electric shock Steady-state

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Modeling and Switching simulation of Oil-gas Dual-power System on Account of Association Algorithm 22

Modeling and Switching Simulation of Oil-gas Dual-power Syst...

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7th International Conference on Cyber Security and Information Engineering, ICCSIE 2022

作者： Qiu, Yinfeng Li, Guoxiang Tian, Hao Wei, Che Liu, Guofeng Wu, Zhaoyun CNOOC Research Institute Co. Ltd Chaoyang District Beijing Chaoyang100028 China State Key Lab of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China

ISBN: (纸本)9781450397414

control theory of complex system is an important subject in the development of automatic control theory cntrol system simulation is one of its research directions. The results of this study have been implemented on DNNSS simulation subsystem of multi-model complex nonlinear network. In this paper, the multi-model method is introduced to make the concept of the discontinuous right end of the simulation complex nonlinear system clear intuitive analysis applicability and description ability. This paper studies a series of theories and knowledge about the modeling and switching simulation of oil and gas dual-power system based on the association algorithm, reveals the concept and definition of the algorithm based on the association, and carries out the disposal of application cases of the modeling and switching simulation of oil and gas dual-power system. By oil and gas field power supply system for analysis of effect of oil and gas dual power supply system based on correlation algorithm to study the modeling and simulation of switching, test result shows that oil and gas dual power supply system based on correlation algorithm modeling and simulation in oil and gas field double switching power supply system in the agility, practicability, intelligent and robust reached 82.41%, 90.01%, 94.65%, 98.28%. © 2022 ACM.

关键词： Gases

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Demand Side Data Generating Based on Conditional Generative Adversarial Networks

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Energy Procedia 2018年 152卷 1188-1193页

作者： Jian Lan Qinglai Guo Hongbin Sun Department of Electrical Engineering Tsinghua University 100084 Beijing China State Key Lab of Control and Simulation of Power Systems and Generation Equipments 100084 Beijing China

With the technological advancement in the fields of advanced metering infrastructure (AMI), a massive amount of customers’ electricity consumption data is collected. Meanwhile, the energy providers need to make informed decisions based on power consumption strategy of demand side to reduce overall operational cost. So how to generate demand side load data based on historical energy consumption data or customer attribute is a pressing issue. In this paper, we propose a data-driven approach to generate new power consumption data based on intrinsic property of load pattern learnt from demand side using conditional generative adversarial networks (cGANs), which is based on two interconnected deep neural networks known as generator and discriminator. By using several representative labels from the responded surveys and the load data from demand side to train the models, the generator is able to generate realistic power consumption data by given labels which can be used for energy management and scheduling, the discriminator is capable of detecting abnormal power consumption and system error from the smart meter data.

关键词： conditional GANs generative models demand side smart meter data analysis energy management

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Ultra-short-term wind power prediction based on variational mode decomposition and clustering method

Ultra-short-term wind power prediction based on variational ...

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第三十八届中国控制会议

作者： Liu Chenyu Zhang Xuemin Mei Shengwei Huang Shaowei State Key Lab of Control and Simulation of Power Systems and Generation Equipments (Dept. of Electrical Engineering Tsinghua University)

Wind power ultra-short-term prediction plays a key role in day scheduling of power systems and cross-provincial power trading. However, the randomness and non-stationary nature of wind power, and the mismatch between the training data and the predicted data have become the main obstacles for the improvement of prediction accuracy. This paper proposes a prediction algorithm based on variational mode decomposition(VMD) and clustering. Firstly, the original non-stationary sequence is transformed into several relatively stationary modes utilizing VMD. Secondly, key features can be conveniently selected for each mode, which has a central frequency. Then the k-means clustering method is used to cluster each mode into several typical patterns based on correlation coefficient based distance definition. Finally, the method of "offline training, online matching" is adopted to perform training and prediction process. The actual data of a wind farm in Jilin Province was used to verify the results. The results show that the proposed method can improve the accuracy of ultra-short-term in multi-step prediction of wind power.

关键词： wind power ultra-short-term prediction variational mode decomposition stationary

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Equivalent capacity of the lower voltage ride through for wind farm from overcurrent protection in power collection lines

Equivalent capacity of the lower voltage ride through for wi...

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11th IET International Conference on Developments in power systems Protection, DPSP 2012

作者： Wang, Bin Dong, Xinzhou Bo, Zhiqian State Key Lab. of Control and Simulation of Power Systems and Generation Equipments Dept. of Electrical Engineering Tsinghua University Haidian District Beijing 100084 China Alstom Grid Stafford ST17 4LX United Kingdom

ISBN: (纸本)9781849196208

Magnitude and duration of voltage sags are the most important two factors to the Lower Voltage Ride Through (LVRT) capacity of the wind generator. Since most voltage sags are caused by the system faults, and sag durations are controlled by the tripping time of overcurrent relay in power collection lines based on the sags' magnitude. The specification of the LVRT capacity of wind generator is introduced into the operation characteristics of the relay in power collection lines. The evaluation model of equivalent LVRT capacity to overcurrent protection is proposed in paper, and the equivalent LVRT capacities from zone I and zone II relay are quantified. Improvement measures are also proposed.

关键词： Overcurrent protection

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