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

作者： Xian, Wenyuan Ding, Ran Qiao, Ying Lu, Zongxiang Li, Shangqiang Lin, Hong School of Electrical Engineering Xinjiang University Urumqi830047 China State Key Lab of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Haidian District Beijing100084 China State Grid Jibei Electric Power Company Xicheng District Beijing100053 China

When the large-scale renewable power island is connected to VSC-HVDC transmission system, we should figure out the steady-state operation area of VSC-HVDC converter station. Based on the equivalent model of renewable energy island, the constraints of VSC-HVDC converter station are analyzed, and a fast method for calculating steady-state operation area of converter station is presented in this paper. The influence of equivalent line impedance of renewable energy island, transformer ratio of converter station and voltage setting value of grid-connected point on steady-state operation area of converter station is analyzed. And the three-dimensional view of the steady-state operation area of the converter station under different grid-connected voltage is depicted. © 2020 The Authors, published by EDP Sciences.

关键词： HVDC power transmission

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Testing of Ethernet Function of Domestically-made FPGA Chip and Acquisition Board for the Application of Protective Relaying

Testing of Ethernet Function of Domestically-made FPGA Chip ...

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2021 International Conference on power System Technology, powerCON 2021

作者： Wang, Bin He, Xiaocai Jiang, Yingjie Lv, Xinquan Zhou, Zhimei Feng, Chen Dong, Xinzhou Tsinghua University Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electric Engineering Beijing China Communication Transmission Center Information Telecommunications Company State Grid Shandong Electeic Power Company Jinan China Chip Design Center Beijing Smartchip Microelectronics Technology CO. Ltd Beijing China Smart Shine Microelectronics Technology CO. Ltd Chip Product Department Beijing China

ISBN: (纸本)9781665407373

In order to solve the problem that the core chips of domestic protective relaying devices generally rely on foreign imported chips and realize the localized replacement of FPGAs, this paper designs the verification peripheral circuits of domestic FPGA chip through the analysis of the structure and test schemes design of domestic FPGA, including board-level verification scheme and data flow control verification scheme. The communication test and random test are carried out to the IP core of domestic FPGA MAC controller. From the test results, it can be seen that the loopback data and the transmitted data in the descriptor are consistent, and the tested domestic FPGA can be competent for its role in the application of protective relaying. © 2021 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Stochastic processes in renewable power systems: From frequency domain to time domain

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Science China(Technological Sciences) 2019年第12期62卷 2093-2103页

作者： SONG YongHua CHEN XiaoShuang LIN Jin LIU Feng QIU YiWei Department of Electrical and Computer Engineering University of MacaoMacaoChina State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

With the increasing penetration of renewable energy resources(RESs), the uncertainties of volatile renewable generations significantly affect the power system operation. Such uncertainties are usually modeled as stochastic variables obeying specific distributions by neglecting the temporal correlations. Conventional approaches to hedge the negative effects caused by such uncertainties are thus hard to pursue a trade-off between computation efficiency and optimality. As an alternative, the theory of stochastic process can naturally model temporal correlation in closed forms. Attracted by this feature, our research group has been conducting thorough researches in the past decade to introduce stochastic processes within renewable power systems. This paper summarizes our works from the perspective of both the frequency domain and the time domain, provides the tools for the analysis and control of power systems under a unified framework of stochastic processes, and discusses the underlying reasons that stochastic process-based approaches can perform better than conventional approaches on both computational efficiency and optimality. These work may shed a new light on the research of analysis, control and operation of renewable power ***, this paper outlooks the theoretic developments of stochastic processes in future’s renewable power systems.

关键词： renewable energy resources renewable power systems stochastic processes frequency domain time domain

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The parameter design method of smoothing inductance based on MMC-MTDC with R-type superconducting fault current limiter 16

The parameter design method of smoothing inductance based on...

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16th IET International Conference on AC and DC power Transmission, ACDC 2020

作者： Guo, Peiqian Yuan, Zhichang Liu, Guowei Zhao, Yuming Shi, Zinan State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Shenzhen Power Supply Corporation Shenzhen China Sichuan Energy Internet Research Institute Tsinghua University Chengdu China

ISBN: (纸本)9781839533914

The rapid increase of voltage sourced converter brings the great development of the multi-terminal DC technology, both in the DC transmission and DC distribution fields. However, because of the weak impedance characteristic of the VSC-HVDC system, how to suppress and clear DC fault currents becomes a challenge. Considering the stability, the response speed and the system structure, it is not possible to apply excessive inductance at the DC side, hence, the current limiting effectiveness is relatively restricted. On the one hand, with the effective properties, Resistive type Superconducting Fault Current Limiter (R-SFCL) becomes an effective device to solve the problem of VSC-HVDC system under DC faults. On the other hand, because of dynamic energy-impedance characteristics of R-SFCL, the fixed impedance selection method at a certain time to carry out dynamic current limiting analysis is no longer applicable. Therefore, the DC fault current research and R-SFCL characteristic are comprehensively analyzed firstly in this paper. Based on that, a smoothing inductance determination method is proposed to cut off the DC fault current by DC breaker and ensure the continuous operation of remaining parts. Finally, based on a multi-terminal DC system simulation, the improvement and effectiveness of the proposed method are validated. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： Inductance

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Capacity Optimization of Hydrogen Buffer Tanks in Renewable power to Ammonia (P2A) System

Capacity Optimization of Hydrogen Buffer Tanks in Renewable ...

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IEEE General Meeting power& Energy Society

作者： Jiarong Li Jin Lin Yonghua Song State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University University of Macau Beijing China

ISBN: (数字)9781728155081

ISBN: (纸本)9781728155098

power to hydrogen is a promising method to consume surplus renewable energy existing in the world. However, due to bottlenecks in hydrogen storage and transportation, converting hydrogen into ammonia which is a kind of hydrogen carrier with satisfied quality in storage and transportation is considered. Industrial ammonia synthesis reactors always work in constant conditions with constant flow rate of the feed gas, while hydrogen output of electrolyzers may vary sharply across renewable energy, thus hydrogen buffer tanks are required between electrolyzers and reactors to eliminate the fluctuation to some extent. The capacity of the buffer needs to be optimized due to relatively expensive cost of tanks, and the optimal capacity of the buffer actually depends on the operation flexibility of the reactor which is rarely discussed in existing literatures. This paper studies operation flexibility of the reactor first and establishes operation model of ammonia synthesis system under variable working conditions, on this basis the capacity optimization model is proposed and verified by a P2A system. At last the operation performance and the economy of P2A system are discussed, and case studies show that about 24% of total investment cost can be reduced with the consideration of operation flexibility of the reactor.

关键词： Ammonia Renewable energy sources Hydrogen Transportation Inductors Optimization Investment

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Analysis and suppression of subsynchronous oscillation of Rudong wind power through MMC-HVDC system

Analysis and suppression of subsynchronous oscillation of Ru...

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2021 Annual Meeting of CSEE Study Committee of HVDC and power Electronics (HVDC 2021)

作者： J. Li X. Xie J. Yang H. Li Z. Shi K. Wang C. Fu W. Yang Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province Huadong Engineering Corporation Limited Power China Hangzhou Zhejiang Province 310014 China State Key lab of Control and Simulation of Power Systems and Generation Equipment (Dept. of Electrical Engineering Tsinghua University) Haidian District Beijing 100084 China

There may be complex interaction between the converter control systems of wind power and MMC-HVDC, which will lead to sub-/super-synchronous oscillation and threaten the safe and stable operation of the system. The relevant events have been reported in Guangdong Nan'ao, Shanghai Nanhui and Zhangbei projects. Rudong offshore wind power project is the first offshore wind power transmission system in China, and it is still under construction. Therefore, it is of great significance to carry out the research on the risk analysis and suppression measures of sub-synchronous oscillation in Rudong wind power MMC-HVDC system. First, the time-domain simulation model of Rudong wind power MMC-HVDC system is built in the PSCAD/EMTDC simulation model. Then, the effects of the number of wind turbine generators, wind power output and the parameters of MMC-HVDC controller on the sub-/super-synchronous oscillation characteristics of the system are further analyzed. Finally, the suppression measures based on supplementary frequency dependent gain control are proposed, the application position of the controller is discussed, and the parameter optimization method of the controller is given. The research content provides a certain guiding significance for the operation and control of Rudong wind power MMC-HVDC.

关键词： turbogenerators HVDC power transmission wind turbines power transmission control risk analysis time-domain analysis offshore installations HVDC power convertors wind power plants wind power

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Cufe2o4@Ncnts-Functionalized Ceramic Microfiltration Membrane for Antibiotic Oxidation and Fouling control Via Heterogeneous Electro-Fenton Reaction

SSRN

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SSRN 2024年

作者： Zhang, Zixin Huang, Guohe Li, Yongping Yao, Yao Zhang, Peng Chen, Xiujuan Ren, Shaojie Luo, Yifei Zhang, Yuanzheng State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing100875 China State Key Joint Laboratory of Environmental Simulation and Pollution Control China-Canada Center for Energy Environment and Ecology Research UR-BNU School of Environment Beijing Normal University Beijing100875 China Environmental Systems Engineering Program University of Regina ReginaSKS4S 0A2 Canada Institute for Energy Environment and Sustainable Communities University of Regina ReginaS4S 0A2 Canada Department of Civil Engineering The University of Texas at Arlington ArlingtonTX United States Shandong Key Laboratory of Water Pollution Control and Resource Reuse School of Environmental Science and Engineering Shandong University Qingdao266237 China College of Environmental Science and Engineering North China Electric Power University Beijing102206 China

Herein, we reported an electrocatalytic ceramic microfiltration membrane functionalized with CuFe2O4 nanoparticles supported by nitrogen-doped carbon nanotubes (NCNTs). The synergistic catalysis between Fe and Cu induced a continuous ·OH generation. The active Fe(II) and Cu(I) sites decomposed the in-situ generated H2O2 into ·OH. The electron transfer from the external circuit and Cu(I) to Fe(III) drove the regeneration of Fe(II). The interfacial electron transfer from CuFe2O4 to NCNTs decreased the electron density of Fe and Cu, thus facilitating the redox cycles of Fe(III)/Fe(II) and Cu(II)/Cu(I). Furthermore, the Fe and Cu sites at the interface of CuFe2O4 and NCNTs displayed a superior ability to non-interface sites in producing ·OH. At near-neutral pH, the electrocatalytic membrane delivered excellent tetracycline removal kinetics (0.0134 min-1) and significantly alleviated the organic fouling occurring on the membrane. These findings shed new light on the development of new-generation membranes with catalytic oxidation capabilities for water treatment. © 2024, The Authors. All rights reserved.

关键词： Antibiotics

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Optimal capacity allocation of integrated agricultural energy network with enhanced geothermal system considering seasonal differences 4

Optimal capacity allocation of integrated agricultural energ...

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4th IEEE Conference on Energy Internet and Energy System Integration, EI2 2020

作者： Si, Yang Chen, Laijun Zhang, Xuelin Chen, Xiaotao Dan, Handing Mei, Shengwei Qinghai University Qinghai Key Lab of Efficient Xining810016 China Qinghai Xining Power Generation Branch of Huanghe Hydropower Xining811600 China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Power Generation Equipment Electric Machinery Department Beijing100091 China

ISBN: (纸本)9781728196060

As an essential direction of agricultural development in the future, the energy demand for facility agriculture varies significantly in different seasons. In this paper, an integrated energy network structure for independent facility agriculture with combined heat and power enhanced geothermal system (CHP-EGS) is proposed. Based on the CHPEGS cogeneration model and stochastic optimization method, the optimal analysis model for capacity allocation of independent facility agricultural integrated energy network is established. Taking the energy supply of facility agriculture in the hot dry rock resource-rich area of the Gonghe basin in China as an example, the optimal allocation scheme and operation characteristics of integrated energy networks for facility agriculture are analyzed considering the difference of seasonal energy consumption. The results show that, under the same capacity configuration, facility agriculture has sufficient energy support in summer, and its income can be increased by expanding the area of greenhouse or developing product processing. In winter, if the basic energy supply-demand of facility agriculture is to be ensured, the emergency heating system should be configured according to about 30% of the maximum heating demand. The optimization model and case analysis can provide meaningful guidance for seasonal energy sources planning of facility agriculture. © 2020 IEEE.

关键词： Agriculture

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Mid-term Scenario Generation for Wind power Using GAN with Temporal-correlation Enhancement Block 10

Mid-term Scenario Generation for Wind Power Using GAN with T...

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

作者： Ma, Yupu Ma, Ming Wang, Ningbo Qiao, Ying State Key Lab of Control and Simulation of Power Systems and Generation Equipment Dept. of Electrical Engineering Tsinghua University Haidian District Beijing100084 China School of Electrical Engineering Northeast Electric Power University Jilin Jilin Province132012 China Wind Power Technology Center of Gansu Electric Power Company Lanzhou Province730070 China

Under the background of increasing renewable energy penetration and rigid demand for midterm generation planning, the accurate expression of wind power uncertainty becomes more and more important. Firstly, this paper analyses the problem of scenario generation models based on traditional Generative Adversarial Networks(GAN), point that the fluctuation of scenarios that it generated usually deviates greatly from the real one. And further proposes a convolutional structure, that called Temporal-correlation Enhancement block (TE block), which can solve the aforementioned problem by enhance the temporal correlation perception ability of convolutional layers. Then, the problems of traditional conditional Wasserstein GAN-Gradient Penalty(WGAN-GP) in mid-scale scenario generation are discussed, and a conditional WGAN-GP scenario generation model that is suitable for mid-term scenario generation is presented. This model-free non-parametric model can generate a large number of realistic wind scenarios efficiently according to the given conditions. In order to validation, we use the data collected in a province in northern China to train the model in the Case Study part, and compare it with the traditional model. Result shows the fluctuation distribution deviation problem is improved obviously on the model with TE block, and in the comparison of auto-correlation coefficient, the proposed model also outperform the traditional model. This verifies the superiority of the proposed model in temporal expression ability compared with the traditional model, as well as the feasibility of the mid-term wind scenario generation. © 2020 The Authors, published by EDP Sciences.

关键词： Generative adversarial networks

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Communication-Efficient Federated Learning for Connected Vehicles with Constrained Resources

Communication-Efficient Federated Learning for Connected Veh...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Shuaiqi Shen Chong Yu Kuan Zhang Xi Chen Huimin Chen Song Ci University of Nebraska-Lincoln Omaha NE USA Beijing Electric Power Research Institute State Grid Corporation of China State Key Laboratory for Safety Control and Simulation of Power Systems and Large Power Generation Equipment Tsinghua University Beijing P. R. China

With the upcoming next generation wireless network, vehicles are expected to be empowered by artificial intelligence (AI). By connecting vehicles and cloud server via wireless communication, federated learning (FL) allows vehicles to collaboratively train deep learning models to support intelligent services, such as autonomous driving. However, the large number of vehicles and increasing size of model parameters bring challenges to FL-empowered connected vehicles. Since communication bandwidth is insufficient to upload full-precision local models from numerous vehicles, model compression is usually conducted to reduce transmitted data size. Nevertheless, conventional model compression methods may not be practical for resource-constrained vehicles due to the increasing computational overhead for FL training. The overhead for downloading global model can also be omitted by existing methods since they are originally designed for centralized learning instead of FL. In this paper, we propose a ternary quantization based model compression method on communication-efficient FL for resource-constrained connected vehicles. Specifically, we firstly propose a ternary quantization based local model training algorithm that optimizes quantization factors and parameters simultaneously. Then, we design a communication-efficient FL approach that reduces overhead for both upstream and downstream communications. Finally, simulation results validate that the proposed method demands the lowest communication and computational overheads for FL training, while maintaining desired model accuracy compared to existing model compression methods.

关键词： Training Quantization (signal) Connected vehicles Computational modeling simulation Wireless networks Collaborative work

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