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Effect of PyC Interface Thickness on the Heat-stability of Cansas-ⅡSiC_(f)/SiC Composites

Journal of Wuhan University of Technology(Materials Science) 2023年第4期38卷 725-734页

作者：韩笑于国强张盛 SHI Jian GAO Xiguang SONG Yingdong WANG Fang Key Laboratory of Aero-Engine Thermal Environment and Structure Ministry of Industry and Information TechnologyCollege of Energy and Power EngineeringNanjing University of Aeronautics and AstronauticsNanjing210016China College of Chemical Engineering Nanjing Forestry UniversityNanjing210016China Jiangsu Province Key Laboratory of Aerospace Power System College of Energy and Power EngineeringNanjing University of Aeronautics and AstronauticsNanjing210016China State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjing210016China AECC Sichuan Gas Turbine Establishment Chengdu610500China

The effect of the pyrolytic carbon(PyC)interface thickness on the heat-stability of CansasⅡSiC_(f)/SiC composites under Ar up to 1500℃was studied in *** the heat treatment at 1500℃for 50 h,the interface bonding strength of the thin interface(about 200 nm)decreases from 74.4 to 20.1 MPa(73.0%),while that of the thick interface(about 2μm)declines from 7.3 to 3.2 MPa(52.7%).At the same time,the decline fraction of strength of the composites with the thin interface is 12.1%,less than that with the thick interface(42.0%).The fiber strength also decreases after heat treatment,which may be due to the significant growth ofβ-SiC grains and critical *** different heat-stability of the interface with the thin and thick thickness might be related to the inconsistency of the degree of the graphitization of *** with the composites with the thick interface,the composites with the thin interface remained higher tensile strength after heat treatment due to the better interface bonding *** interface with strong bonding strength could protect the fiber by postponing the decomposition of amorphous phases SiC_(x)O_(y) and hindering the generation of fiber defects.

关键词： SiC_(f)/SiC mini-composites heat-stability interface thickness mechanical properties microstructure

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Research on the Grid-connected Photovoltaic power Scheduling Strategy Considering the Flexible Load 3

Research on the Grid-connected Photovoltaic Power Scheduling...

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3rd International Conference on Energy Engineering and power systems, EEPS 2023

作者： Meng, Tao Li, Chenggang Li, Dexin Zhang, Jiajun State Grid Jilin Electric Power Co. Ltd Electric Power Research Institute China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education School of Electrical Engineering Changchun China State Grid Jilin Electric Power Co. Ltd Electric Power Research Institute Changchun China

ISBN: (纸本)9798350313857

With the target of "peak carbon dioxide emission"and "carbon neutrality", the installed capacity of renewable energy power generation is increasing rapidly. To improve the absorption capacity of renewable energy, the frequency regulation ability of flexible load is considered. Diffusion strategy is an optimal strategy for the distributed multi-agent system. Considering the flexible load, the grid-connected photovoltaic power applies the diffusion strategy to optimize the scheduling strategy. The effectiveness of the proposed optimal algorithm is verified by a simulation example. The results show that the proposed algorithm can realize frequency regulation, and improve the installed capacity of photovoltaic power generation. © 2023 IEEE.

关键词： Multi agent systems

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A disturbance localization method for power system based on group sparse representation of compressed sensing 2

A disturbance localization method for power system based on ...

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2nd IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2023

作者： Wang, Zeyi Jiao, Mingxi Wang, Daliang Liu, Minxu Jiang, Minglei Wang, He Li, Shiqiang State Grid Jilin Electric Power Co. Ltd. Changchun Power Supply Company Changchun China Institute of State Grid Jilin Electric Power Co. Ltd. Economic and Technical Research Changchun China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (纸本)9781665462532

This paper proposes a new disturbance localization method for power system based on group sparse representation of compressed sensing. Based on the analysis of disturbance characteristics of power system, the sparse dictionary of compressed sensing group is constructed by the admittance matrix, impedance matrix, and power variation matrix. In addition, the traditional generalized orthogonal matching pursuit reconstruction algorithm is improved to obtain the group sparse coefficients corresponding to the above dictionaries for compressive sensing sparse reconstruction, and the corresponding weights of each class in the group sparse dictionary are determined based on the entropy weight method to realize the accurate location of power system disturbances. In this paper, the IEEE 39 node power systems are built on the PSCAD/EMTDC simulation platform for experimental verification, and three common disturbances of cutting generator capacity, cutting load capacity and single-phase grounding short circuit are analyzed respectively. The simulation results show that the proposed method can achieve the accurate location of common disturbances in power systems with limited measurement device configurations, and has the advantages of less computation and strong robustness to noise. © 2023 IEEE.

关键词： Entropy

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EV Charging Load Forecasting Method Considering Time-of-Use Price and Meteorological Factors 7

EV Charging Load Forecasting Method Considering Time-of-Use ...

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7th International Conference on power and Energy Applications, ICPEA 2024

作者： Li, Guangxiao Yang, Yilu Wang, Chunyi Xu, Ziyu Wang, Yue Liu, Yutian State Grid Jining Power Supply Company Development Planning Department Jining China State Grid Shandong Electric Power Company Development Planning Department Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350356113

The randomness of load fluctuations at electric vehicle (EV) charging stations presents a significant challenge for the accurate load forecasting. Considering time-of-use (TOU) price and meteorological factors, EV charging load forecasting method for EV charging station is proposed. First, the factors affecting charging load are analyzed using the Pearson correlation coefficient and the maximum information coefficient (MIC). key factors such as TOU price, temperature, weekday type, and recent historical load data are determined. Next, convolutional neural network (CNN) is used to extract important features and capture complex nonlinear relationships from key factors. Finally, the extracted features are processed by gated recurrent unit (GRU) network to forecast charging load at different time scales. Case study is conducted using load data from EV charging station with a capacity of 1800 kW. The results demonstrate that the CNN-GRU model significantly improves forecasting accuracy at 4h, 24h, 72h, and 168h forecasting lengths compared to other models. © 2024 IEEE.

关键词： Charging stations

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Short-Term Prediction of Wind power Based on NWP Error Correction with TimeGAN and LSTM-TCN 4th

Short-Term Prediction of Wind Power Based on NWP Error Corre...

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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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Distance Protection Setting Scheme for the Loss of Main Protection in High-Voltage power Grid

Distance Protection Setting Scheme for the Loss of Main Prot...

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2023 International Conference on power system Technology, powerCon 2023

作者： Zhang, Yongjie Cong, Wei Tang, Yi Li, Yudun Li, Congcong Wang, Anning Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9798350300222

With the continuous construction and development of high-voltage power grids, strategies such as dual redundancy configuration of main protection have been proposed successively to ensure reliable operation of the protection. However, certain abnormal conditions, such as loss of communication power supply, failure of both main protection channels, total station DC power loss (due to fire, etc.), theoretically cannot be completely ruled out in terms of their potential occurrence. According to the power system operation regulations, when the main protection is lost, it is necessary to trip the line, which affects the normal operation of the power grid and disrupts production and daily life. Therefore, a distance protection setting scheme for the loss of main protection in high-voltage power grids has been proposed. When abnormal operating conditions occur, the proposed scheme defines the emergency protection boundary and identifies the protective devices that require protection value modifications. Following the proposed principles, necessary adjustments will be made to the setting values of these protective devices. Using PSCAD/EMTDC to construct a simulation model, the simulation results demonstrate that the proposed distance protection setting scheme in this paper does not require additional protective devices and effectively ensures the safe operation of the power grid under abnormal operating conditions. © 2023 IEEE.

关键词： Electric power system protection

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A Novel Modeling Method for power Flow Calculation of Integrated Enegy Network 13

A Novel Modeling Method for Power Flow Calculation of Integr...

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2022 IEEE International Conference on power systems Technology, powerCON 2022

作者： Tian, Liting Zhou, Xuyan Lin, Cheng Yin, Zheng Lin, Ende Equipment Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Beijing China Institute of Science and Technology China Three Gorges Corporation State Key Laboratory of Control and Simulation of Power Systems Beijing China

ISBN: (数字)9781665417754

ISBN: (纸本)9781665417754

Multi-energy systems may contain integrated energy networks such as electrical, gas and heating networks. The differences in the physical characteristics of each energy network make it difficult to solve power flows of the integrated energy networks. Based on the concept of energy flow, this paper realizes the unified modeling of electrical, gas and heating network to describe the stable equilibrium relationship. The basic equations for energy flow calculation contains Kirchhoff's Current Law equations, Kirchhoff's Voltage Law equations, and energy flow efficiency equations. A weighted directed graph is used to model the total system with networks and energy hubs. The proposed model is used for the joint power flow solution of the multi-energy system with Newton-Raphson algorithm. Finally, the validity and accuracy of the model are verified in a test system. © 2022 IEEE.

关键词： Newton-Raphson method

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Wind and PV power Ramp Events Prediction Based on Long Short-Term Memory Network

Wind and PV Power Ramp Events Prediction Based on Long Short...

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2023 IEEE Sustainable power and Energy Conference, iSPEC 2023

作者： Wang, Zengwei Li, Zhendong Liu, Yutian Ma, Huan The Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China The State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9798350322699

With the increasing penetration rate of renewable generation, the challenges arising from its randomness and intermittent nature are becoming more pronounced. In particular, wind and photovoltaic power ramp events pose a serious threat to the secure and stable operation of power systems, and even lead to frequency instability and load shedding. Based on the long short-term memory neural networks (LSTM), this paper proposes a novel renewable power ramp events (RPREs) forecasting approach. First, filter the key tie-lines. Second, the LSTM network was driven by the known time series of wind, PV, load, and tie-line power to forecast the tie-line power for the next hour, thereby determining the adjustable capacity of the tie-line. Finally, the regulatory capability of the grid is considered to judge the occurrence of a power ramping event. Case study demonstrates that the proposed method can effectively predict power ramping events and meets the requirements of online assessment. © 2023 IEEE.

关键词： LSTM photovoltaic power ramping events forecasting wind power

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Optimal Configuration of Energy Storage Capacity in Wind-Storage Joint Frequency Regulation

Optimal Configuration of Energy Storage Capacity in Wind-Sto...

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2023 IEEE International Conference on power Science and Technology, ICPST 2023

作者： Hao, Ling Xu, Fei Chen, Lei Chen, Qun Min, Yong Gu, Yi Chang, Yiming Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing100084 China Tsinghua University Key Laboratory for Thermal Science and Power Engineering of Ministry of Education Department of Engineering Mechanics Beijing100084 China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China State Grid Liaoning Electric Power Co. Ltd. Liaoning 110055 China

ISBN: (纸本)9798350311358

We propose combining energy storage control with pitch control of wind turbines to give wind farms a primary frequency regulation capability similar to thermal power units. Using chance-constrained programming to handle the relationship between reliability and operating cost, and considering the full life-cycle cost of energy storage, we establish a chance-constrained programming model with the objective of minimizing the wind-storage joint frequency regulation operating cost. This achieves a trade-off between operating cost and reliability of the wind-storage frequency regulation system. We use the ant-lion algorithm to solve the model and obtain the optimal configuration of energy storage power and capacity for the wind farm, and compare the optimization results of the ant-lion algorithm with those of the particle swarm algorithm and the genetic algorithm. A case study is presented to verify the effectiveness of the proposed model and algorithm. © 2023 IEEE.

关键词： Wind power

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MPC Implementation for Optimal Active power control of Large-Scale Wind-PV-Battery Hybrid system 42

MPC Implementation for Optimal Active Power Control of Large...

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42nd Chinese control Conference, CCC 2023

作者： Zhang, Zihan Lin, Zhongwei Zhao, Ze Zhou, Jiawei Qu, Chenzhi School of Control and Computer Engineering North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China

ISBN: (纸本)9789887581543

This paper investigates the operational strategy for real-time optimal active power control of large-scale wind-PV-battery hybrid system. The MPC strategy is established with objective, forecast models and constraints for active power control of wind-PV-battery hybrid system, which simultaneously maximizes tracking accuracy and minimizes settling time. To guarantee the industrial reliability, the corresponding optimization solver and control architecture have been specifically developed and designed. Hardware-in-loop (HIL) experiments are conducted using the real-time digital simulator (RTDS) and programmable logic controllers (PLCs). Under different operating scenarios, HIL-RTDS testing results demonstrate that the MPC strategy significantly improves the tracking speed and accuracy compared to the conventional strategy in both normal and abnormal operating scenarios, which also sustain the feasibility of industrial implementation. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Programmable logic controllers

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