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Investigation on Insulating Properties of Epoxy Resin Impregnated Paper Affected by Curing Agents and Accelerator Contents

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IEEE Transactions on Dielectrics and Electrical Insulation 2025年

作者： Teng, Chenyuan Ding, Yichao Zhou, Yuanxiang Zhao, Lei Zhang, Yunxiao Chen, Haoran Zhang, Youbing Zhejiang University of Technology College of Information Engineering Hangzhou310023 China Nankai University China and College of Electronic Information and Optical Engineering Tianjin300350 China Zhejiang Testing & Inspection Institute for Mechanical and Electrical Products Quality Co. Ltd Hangzhou310051 China Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing100084 China State Grid Xinxiang Electric Power Supply Company Xinxiang453002 China

The curing formula is vital to the performance of epoxy resin impregnated paper (RIP) material. This work explored the effect of curing agents and accelerator contents on the thermal and electrical properties of RIP material. It was found that the RIP material cured with 1phr accelerator has the optimal glass transition temperature, electrical conductivity, dielectric loss and DC breakdown strength compared with RIP material cured by 0.5phr, 2phr, and 3phr accelerator. The RIP material cured with MEHHPA has better thermal and insulating properties compared with the RIP material cured with METHPA. The existence of the crepe paper amplifies the influence of accelerator and curing agent for the hydroxyl groups affect the curing process as well as the chain segment arrangement. This study provides the research support for the design of the curing formula for RIP insulation used in DC bushing. © 1994-2012 IEEE.

关键词： Dielectric losses

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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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Noise Reduction of Partial Discharge in power Cable Insulation Based on Deep Learning 7

Noise Reduction of Partial Discharge in Power Cable Insulati...

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7th IEEE International Conference on High Voltage Engineering and Application, ICHVE 2020

作者： Bin, Ding Jingwen, Liu Jianning, Chen Yuanxiang, Zhou Xuewei, Wang Jiamin, Ge Xiong'an Power Supply Company State Grid Baoding China Tsinghua University China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing China Xinjiang University Department of Electrical Engineering Urumqi China

ISBN: (纸本)9781728155111

With the rapid development of ultra-high voltage (UHV) transmission technology in China, insulation diagnosis for power equipment has been applied widely to improve the reliability of the giant power system. Partial discharge (PD) detection, with the advantages of high precision and convenient deployment, plays an important role in defect detection, location, and classification. However, the low signal to noise ratio (SNR) of PD signals and poor electromagnetic environment make it difficult to extract useful features from PD signals. To distinguish the PD signals from noise, a noise reduction method based on deep learning is proposed in this paper. With short-time Fourier transform (STFT) technology, time-domain PD signals with various noise were first transformed into time-frequency domain patterns. After preprocessing the raw pattern, a deep convolutional neural network (CNN) was built, trained, and tuned for noise reduction of PD signals. Finally, the noise reduction model was verified and compared with the traditional method based on wavelet analysis. The results demonstrate that noise reduction mothed based on deep learning can restore the PD signals with more than 90% noise reduced. Given the advantage that the convolution kernel could sense both the time-related information and the frequency-related information in a spectrum simultaneously, the DnCNN model performs better than wavelet analysis. The noise reduction model proposed in this paper is based on new generation artificial intelligence, providing a new approach for PD signal restoration, which promotes the reliability of the power system. © 2020 IEEE.

关键词： Partial discharges

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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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Cause Identification of Single-line-to-ground Fault in Distribution System

Cause Identification of Single-line-to-ground Fault in Distr...

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International Conference on power System Technology (powerCON)

作者： Kun Liu Xuan Ren Bin Wang Key Lab for Protective Relaying Real Time Digital Simulation of Guangdong Power Grid Co. Ltd. Power Dispatch Control Center of Guangdong Power Grid Co. Ltd Guangzhou China Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing China

ISBN: (纸本)9781665407380

Cause identification of single-line-to-ground fault in the distribution system is of great significance to the electric workers for fault isolation and rapid maintenance. The key of fault cause identification is to accurately and quickly distinguish human electric shock faults from non-biological faults. In this paper, human electric shock faults and non-biological faults are modeled and fault characteristics are analyzed. Based on the differences between shape and rotation characteristic of the volt-ampere characteristic curves, a fault cause identification method which can distinguish human electric shock faults from non-biological faults is proposed. simulations show the effectiveness of the method.

关键词： Fault diagnosis Analytical models Shape Electric shock Maintenance engineering power systems

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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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Corrigendum to “Hierarchical evaluation framework for coupling effect enhancement of renewable energy and thermal power coupling generation system” [Int. J. Electr. power Energy Syst. 146 (2023) 108717]

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International Journal of Electrical power & Energy systems 2024年 158卷

作者： Yao Zou Qianggang Wang Bo Hu Yuan Chi Guiping Zhou Fei Xu Niancheng Zhou Qinqin Xia State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing University China State Grid Liaoning Electric Power Company Limited Shenyang Liaoning China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University Beijing China

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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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Fast and Safe Heating-Up control of a Planar Solid Oxide Cell Stack: A Three-Dimensional Model-in-The-Loop Study

SSRN

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SSRN 2022年

作者： Chi, Yingtian Li, Peiyang Lin, Jin Mu, Shujun Song, Yonghua State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China Tsinghua-Sichuan Energy Internet Research Institute Chengdu610213 China National Institute of Clean-and-Low-Carbon Energy Changping District Beijing102211 China State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China

A fast heating-up rate generally conflicts with the temperature homogeneity of solid oxide cell (SOC) stacks. This study designs an adaptive model predictive controller (MPC) to regulate the heating-up process of SOC stacks. The controller solves an optimization problem in real time to obtain optimal control that shortens the heating-up time by fully using the safety limit. The controller is verified with a three-dimensional (3D) hotbox-stack model calibrated with experiments. 3D model-in-the-loop (MiL) simulations show that the controller is effective under two heating modes despite of model deviations. Under the electrical heating mode, the controller achieves a 33% acceleration compared with a reference control strategy. Comparisons of electrical and gas heating reveal that the former is 63% faster but the latter consumes 41.6% less energy if the waste heat is fully recovered. The hotbox heat capacity is a major limiting factor for the heating-up process, particularly under the gas heating mode. An 80% reduction in the hotbox heat capacity, which can be achieved by reducing the thickness of the insulation layer, improves the heating-up time and the net energy consumption by 69% and 65% under the gas heating mode, respectively. © 2022, The Authors. All rights reserved.

关键词： Model predictive control

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Planning of active power distribution network based on source-network-load collaborative optimization 16

Planning of active power distribution network based on sourc...

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

作者： Jiang, Zhicheng Yu, Qingguang Li, Ang Xiong, Yufeng Long, Gaoxiang Liu, Yuming Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Key Laboratory of Power Systems Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839533914

With the fast development of renewable energy generation, the randomness and volatility seriously threaten the stability of the power system. In order to improve the consumption rate of renewable energy and the economic benefit, the source-network-load collaborative optimization is put forward and widely used in the power system. And the active power distribution network which consists of the energy storage devices and flexible load is the best carrier to realize it. Based on the active power distribution network planning, this paper firstly designs an economic index covering construction cost and operation cost as the optimization objective. Then with the physical constraints consisting of the physical features of generation units, energy storage devices and flexible load, the source-network-load collaborative optimization model of active power distribution network is established. Finally, a case of city distribution network is presented to verify the effect of source-network-load collaborative optimization and the efficiency of the optimization model. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词： Optimization

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