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Smart Grid and Energy Internet (SGEI), International Conference on

作者： Ziyi Xiong Yi Yang Yanglin Zhou Qi Zhou Song Ci Department of Electrical Engineering Tsinghua University Beijing China State Grid Jiangsu Electric Power Co. Ltd. Electric Power Research Institute Nanjing China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China

ISBN: (数字)9798350368314

ISBN: (纸本)9798350368321

High proportion of renewable energy brings great challenges to the stable operation of the distribution network. Distributed energy storage (DES), as an interactive Lithium-ion battery energy storage system, can effectively improve the grid connection and serve as a backup power source. Aiming at the DES system supporting the flexibility of distribution network, this paper proposes a new type of dynamic reconfigurable battery (DRBN) system and its efficient collaborative optimization control method with the power converter system, clarifies the operation control mechanism of the DRBN system of the CPS architecture, proposes a multi-objective optimization control strategy for the DRBN system based on the CPS architecture, and formulates a demonstration application and verification plan.

关键词： Lithium-ion batteries Renewable energy sources Energy Internet Collaboration Distribution networks Smart grids Optimization power generation Information exchange

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Optimal Parameters Setting of Wind power for Frequency Regulation Based on Evaluation of Available Kinetic Energy

SSRN

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SSRN 2024年

作者： Zhang, Han Zhang, Feng Ding, Lei Salimu, Athuman Zhang, Gang State Key Laboratory Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan250061 China Yantai Research Institute of Harbin Engineering University Yantai264006 China

When a wind farm (WF) provides frequency support for the power grid, the frequency regulation parameters of wind turbine generators (WTGs) are normally set by the control of the rotor-side converter and generally decoupled from the time-varying available rotational kinetic energy (KE) in WTGs. Therefore, it may lead to a mismatch between the frequency regulation parameters and the frequency regulation ability of a WTG. In this paper, an optimal frequency regulation parameter setting method of wind power is proposed considering available KE evaluation of wind power, establishing the coupling relationship between frequency regulation parameters with available KE. Firstly, considering the spatiotemporal differences in wind speed within a WF, forecasting scenario-based evaluation method of the available KE for a WF is proposed. Secondly, a functional optimization model for equivalent wind power frequency regulation parameters is constructed and solved with numerical method to adapt to the time-varying available KE of wind power in the power grid. Then the frequency regulation parameters of the WF and WTG layers are set according to the energy-weight ratio. Finally, a case study is conducted to verify the proposed available KE evaluation method using forecasted wind speed scenarios and the effectiveness of the optimal frequency regulation parameter setting method using a two-area power system model. The results show that the energy evaluation method can effectively reduce evaluation error and the optimal frequency regulation parameter can improve the system frequency dynamic response, and prevent over-deceleration of WTG. © 2024, The Authors. All rights reserved.

关键词： Kinetic energy

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Research on Magnetic Integration Technology of Half-Bridge Converter for Aerospace Application

Research on Magnetic Integration Technology of Half-Bridge C...

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Electrical engineering and control Technologies (CEECT), Conference on

作者： Shubo Zhi Qi Tang Jianping Wang Xingzheng Pei Xiaofeng Zhang Mingming Ji Beijing Spacecrafts Manufacturing Factory Beijing Space Power Conversion and Control Engineering Technology Research Center Beijing China Beijing Institute of Spacecraft System Engineering Beijing China

This paper presents magnetic integration provides an accurate method for the fully utilizing the magnetizing curves of several magnetic components by integrating into one magnetic core in order to achieve a lighter and smaller converter. This paper aims to put forward a method which can apply the magnetic integration into the DC-DC converter with half-bridge topology in the aerospace. This paper has fully utilized the magnetic integration into the analysis of converters in the working stages and the following established magnetic circuit model. An engineering prototype based on aerospace-grade components is developed. Then, the problems existed in the practical application of magnetic integration into the DC-DC converter in the aerospace are discussed and the related solutions are put forward. As a result, the experimental results of the engineering prototype proves the feasibility of the solutions raised in this paper.

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Space Charge Transport of Al2O3/Silicone Rubber Composites under Thermal Aging

Space Charge Transport of Al2O3/Silicone Rubber Composites u...

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2022 IEEE International Conference on High Voltage engineering and Applications, ICHVE 2022

作者： Zhang, Yunxiao Yan, Chenning Wu, Kai Zhou, Yuanxiang Zhang, Tianfeng College of Electrical Engineering and Automation Fuzhou University Fujian Fuzhou China Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing China School of Electrical Engineering Xinjiang University The Wind Solar Storage Division State Key Laboratory of Power System and Generation Equipment Urumqi China Electric Power Research Institute Anhui Electric Power Company of State Grid Hefei China

ISBN: (纸本)9781665407502

Silicone rubber (SIR) has been widely used in the insulation of cable accessories due to its excellent performance. In this paper, pure SIR and nano Al2O3/SIR composites are thermally aged for 0-80 days at 200°C. The effects of long-term thermal aging on the space charge transport are analyzed. The results show that with the increase of thermal aging time, the accumulation of heteropolar charge of pure SIR and nano Al2O3/SIR composites gradually decreases and changes to the accumulation of homopolar charge. Compared with pure SIR, the space charge accumulation of Al2O3/SIR composites decreases significantly and changes little with the increase of thermal aging time. It is believed that when doped nano Al2O3 in SIR, the increase of carrier mobility and the introduction of metal oxides reacting with fallen free radicals to form stable compounds both lead to less space charge accumulation of Al2O3/SIR composites. © 2022 IEEE.

关键词： Aluminum oxide

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Research on Data Integration Technology of Large power Grid Operation Mode for Unconventional Event Analysis

Research on Data Integration Technology of Large Power Grid ...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Xuetao Yang Kaixin Liu Dunwen Song Weiwei Miao Facai Xing HaiCheng Tu Power System Department China Electric Power Research Institute(CEPRI) Beijing China Shandong Electric Power Dispatching and Control Center State Grid Shandong Electric Power Company Jinan China Power Grid Technology Center State Grid Shandong Electric Power Research Institute Jinan China School of Communication Engineering Hangzhou Dianzi University Hangzhou China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

The operating laws and characteristics of the new power system have undergone fundamental changes, and are intertwined with the impact of unconventional events such as natural disasters, resulting in a significant increase in safety risks. Firstly, based on the online analysis requirements of unconventional events, a data integration framework for the operation mode of the power grid was constructed, covering both online and offline data generation. Secondly, a standardized integration method for online data to simulation calculation data was proposed, which combines processes such as operational data parsing, topology correlation analysis, and flow convergence adjustment based on reactive power configuration. Finally, based on the characteristics of the impact of unconventional events, a predictive and clustered set of power grid faults is dynamically formed, providing basic data for the study of the evolution law of unconventional event modes. The multi-stage power grid operation mode data integration platform based on the above principles is of great significance for realizing the full cycle analysis of unconventional events and the application of emergency support technology.

关键词： Reactive power Correlation Disasters Data integration Energy Internet system integration Data collection power grids Topology Load flow

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A High-Confidence Intelligent Measurement Method for Aeroengine Oil Debris Based on Improved-Vmd Denoising

SSRN

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SSRN 2023年

作者： Liu, Tong Sheng, Hanlin Jin, Zhaosheng Ding, Li Chen, Qian Huang, Rui Liu, Shengyi Li, Jiacheng Yin, Bingxiong Nanjing University of Aeronautics and Astronautics College of Energy and Power Engineering Jiangsu210016 China AECC Aero-engine Control System Institute Jiangsu214063 China

To address the severe noise interference, weak signal characteristics, and false detection in the measurement of aero-engine oil debris, this paper proposes an effective method for measuring oil debris with high confidence to ensure wear monitoring of aero-engine. It uses an improved variational mode decomposition algorithm, combining wavelet transform and interval threshold processing to suppress complex noise interference effectively, a long-short-term memory neural network with Deep Scattering Spectrum preprocessing and Bayesian optimization to identify weak and distorted debris signal characteristics accurately, and a multi-window fusion judgment algorithm to improve measurement confidence and calculate debris size information reliably. The experimental results show that the proposed method can extract debris signals from noise with a signal-to-noise ratio improvement of more than 9dB, achieve high recognition accuracy of 99.76%, with a missed detection rate of 0.24%, and output debris size information of debris to meet the need for aero-engine oil debris measurement. © 2023, The Authors. All rights reserved.

关键词： Engines

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Cooperative Prediction Approach for the Small-Signal Stability Margin of Renewable power system Based on Vertical Federated Learning

Cooperative Prediction Approach for the Small-Signal Stabili...

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power systems and Electrical Technology (PSET), IEEE International Conference on

作者： Xiang Lai Zhihao Chen Yun Liu Tianchen Dai Haiqing Cai Haohan Gu Wei Chen School of Electric Power Engineering South China University of Technology Guangzhou China State Key Laboratory of HVDC CSG Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798350353204

ISBN: (纸本)9798350353211

Since sub-synchronous oscillations have been frequently witnessed in large-scale wind farms under weak grid conditions, it is significant to predict the critical stability situations in short term so that timely preventative actions can be taken to avoid potential small-signal stability (SS) risks. To this end, this paper proposes a SS prediction approach based on the grid strength metric of generalized short-circuit ratio (gSCR) under the mechanism of vertical federated learning. Specifically, the improved ridge regression prediction model is employed and its corresponding distributed training and the distributed predicting are derived by utilizing the separable characteristic of gradient vector calculation in the context of federated learning. On this basis, the original largescale predicting problem is decomposed into a large number of small-scale subproblems, and each subproblem is calculated locally by the corresponding wind farm. The feature data information of adjacent wind farms can be effectively used to improve the accuracy of the prediction of the stability margin while ensuring the data privacy and security of all participants. Finally, simulation results illustrate the effectiveness and efficiency of the proposed approach under various scenarios.

关键词： Training Accuracy Federated learning Simulation power system stability Wind farms Predictive models Stability analysis Vectors Security

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A novel control method for turboshaft engine with variable rotor speed based on the Ngdot estimator through LQG/LTR and rotor predicted torque feedforward

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Chinese Journal of Aeronautics 2020年第7期33卷 1867-1876页

作者： Yong WANG Qian’gang ZHENG Zhigui XU Haibo ZHANG College of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China AECC Aero Engine Control System Institute Wuxi 214063China

In order to compensate for the disturbance of wide variation in rotor demanded torque on power turbine speed and realize the fast response control of turboshaft engine during variable rotor speed,a cascade PID control method based on the acceleration estimator of gas turbine speed(Ngdot)and rotor predicted torque feedforward is ***,a two-speed Dual Clutch Transmission(DCT)model is applied in the integrated rotor/turboshaft engine system to achieve variable rotor ***,an online estimation method of Ngdot based on the Linear Quadratic Gaussian with Loop Transfer Recovery(LQG/LTR)is proposed for power turbine speed cascade ***,according to the cascade PID controller based on Ngdot estimator,a rotor demanded torque predicted method based on the Min-batch Gradient Descent-Neural Network(MGD-NN)is put forward to compromise the influence of rotor torque *** simulation results show that compared with cascade PID controller based on Ngdot estimator and the one combined with collective pitch feedforward control,the novel control method proposed can reduce the overshoot of power turbine speed by more than 20%,which possesses faster response,superior dynamic effect and satisfactory robustness *** control method proposed can realize the fast response control of turboshaft engine with variable rotor speed better.

关键词： LQG/LTR Ngdot estimator Rotor predicted torque feedforward Turboshaft engine Variable rotor speed

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The Correlation Mechanism that Micro-Structure Parameters of ZnO Varistor to the Macroscopic Electrical Characteristics 4

The Correlation Mechanism that Micro-Structure Parameters of...

引用

4th IEEE International Conference on Electrical Materials and power Equipment, ICEMPE 2023

作者： Meng, Pengfei Guo, Jingke Zhao, Long Lu, Wenhao Liu, Zheng Li, Shan Zhou, Kai Hu, Jun Sichuan University College of Electrical Engineering Chengdu China State Grid Corporatio of China State Grid Linyi Power Supply Company Linyi China Extra High Voltage Power Transmission Company of Csg High Voltage Technology Department Guangzhou China Northwest Institute of Nuclear Technology State Key Laboratory of Intense Pulsed Radiatio Simulation and Effect Xi'an China Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Beijing China

ISBN: (纸本)9798350334678

As the core part of metal oxide arresters, ZnO varistor plays an important part in suppressing the overvoltage of power systems. With the development of UHV technology, the residual voltage and energy capacity of ZnO varistors have put forward higher requirements. The research is carried out from the perspective of material calculation, studied the correlation mechanism between micro-structure parameters and various macroscopic electrical characteristics of ZnO varistor based on Voronoi network. And the microstructure parameters such as grain size and size inhomogeneity were calculated and studied. The study simplified the optimization problem with multiple variates and objectives, into the one with two categories of variates and two categories of objectives. And then proposed specific strategies. The research provides important theoretical basis for improving the performance of ZnO varistors, and witch is of great significance for the design and manufacture of high-performance lightning arresters. © 2023 IEEE.

关键词： Microstructure

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Two-step Optimal Allocation of Stationary and Mobile Energy Storage systems in Resilient Distribution Networks

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Journal of Modern power systems and Clean Energy 2021年第4期9卷 788-799页

作者： Xinyi Jiang Jian Chen Qiuwei Wu Wen Zhang Yicheng Zhang Jie Liu Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250061China Center for Electric Power and Energy(CEE) Department of Electrical EngineeringTechnical University of Denmark(DTU)2800 Kongens LyngbyDenmark Institute for Infocomm Research(I2R) Agency for ScienceTechnology and Research(A*STAR)Singapore State Grid Yantai Power Supply Company YantaiChina

Energy storage systems (ESSs) are acknowledged to be a promising option to cope with issues in high penetration of renewable energy and guarantee a highly reliable power supply. In this paper, a two-step optimal allocation model is proposed to obtain the optimal allocation (location and size) of stationary ESSs (SESSs) and mobile ESSs (MESSs) in the resilient distribution networks (DNs). In the first step, a mixed-integer linear programming (MILP) problem is formulated to obtain the preselected location of ESSs with consideration of different scenarios under normal operation conditions. In the second step, a two-stage robust optimization model is established to get the optimal allocation results of ESSs under failure operation conditions which are solved by column-and-constraint generation (C&CG) algorithm. A hybrid ESS allocation strategy based on the subjective and objective weight analysis is proposed to give the final allocation scheme of SESSs and MESSs. Finally, the proposed two-step optimal allocation model is demonstrated on a modified IEEE 33-bus system to show its effectiveness and merits.

关键词： Resilient distribution network stationary energy storage system mobile energy storage system optimal allocation

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