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8th IEEE International Conference on Energy Internet, ICEI 2024

作者： Jiang, Changming Zhou, Yuanxiang Li, Ping Tang, Yunpeng He, Zhiyang Li, Huan Chen, Jianning Mu, Ka State Grid Corporation of China North China Branch Bejing China Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Bejing China State Grid Corporation of China Bejing China Electric Power Research Institute of State Grid Jibei Electric Power Company Limited Bejing China

ISBN: (纸本)9798331523558

When partial discharge occurs in the transformer, it will produce higher frequency pulse current, high frequency phenomenon will enhance the circuit capacitance effect, making the circuit bandwidth, in order to detect the local discharge signal so as to realize the transformer for equipment monitoring, the establishment of the transformer broadband equivalent circuit model, the propagation law of partial discharge pulse current signal in the transformer is investigated, and the effects of four denoising methods are compared under different evaluation indexes;finally, a typical transformer partial discharge condition is studied, and the validity of the transformer partial discharge research based on the wide-band equivalent circuit is verified. © 2024 IEEE.

关键词： Partial discharges

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Energy-carbon comprehensive efficiency evaluation of hydrogen metallurgy system considering low-temperature waste heat recovery

arXiv

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arXiv 2025年

作者： Ji, Qiang Cheng, Lin Liang, Zeng Zhuang, Yingrui Shi, Fashun Zhang, Jianliang Li, Kejiang State Key Laboratory of Power Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China School of Metallurgical and Ecological Engineering University of Science and Technology Beijing Beijing100083 China

To address the lack of energy-carbon efficiency evaluation and the underutilization of low-temperature waste heat in traditional direct reduction iron (DRI) production, this paper proposes a novel zero-carbon hydrogen metallurgy system that integrates the recovery and utilization of low-temperature and high-temperature waste heat, internal energy, and cold energy during hydrogen production, storage, reaction and circulation. Firstly, the detailed mathematical models are developed to describe energy and exergy characteristics of the operational components in the proposed zero-carbon hydrogen metallurgy system. Additionally, energy efficiency, exergy efficiency, and energy-carbon efficiency indices are introduced from a full life-cycle perspective of energy flow, avoiding the overlaps in energy inputs and outputs. Subsequently, the efficiency metrics of the proposed zero-carbon hydrogen metallurgy system are then compared with those of traditional DRI production systems with H2/CO ratios of 6:4 and 8:2. The comparative results demonstrate the superiority and advancement of the proposed zero-carbon hydrogen metallurgy system. Finally, sensitivity analysis reveals that the overall electricity energy generated by incorporating the ORC and expander equipments exceeds the heat energy recovered from the furnace top gas, highlighting the energy potential of waste energy utilization. Copyright © 2025, The Authors. All rights reserved.

关键词： Low temperature production

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Motion compensation for data transmission dantenna angle during satellite attitude maneuvering 7th

Motion compensation for data transmission dantenna angle dur...

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7th International Conference on Signal and Information Processing, Networking and Computers, ICSINC 2020

作者： Jianzhao, Ding Fan, Mo Li, Cheng Tao, Zhang Rina, Wu Jie, Liu Xinyu, Yao Chao, Chen Beijing Institute of Control Engineering Beijing100190 China Beijing Institute of Spacecraft System Engineering Beijing100094 China Science and Technology on Space Intelligent Control Laboratory Beijing100190 China

ISBN: (纸本)9789813341012

With the sharp improvement of the satellite’s ground-to-ground resolution and the development of the whole satellite’s autonomous mission, the contradiction between the observation data downloading and attitude maneuver imaging during satellite transit has become increasingly prominent. This paper proposes a data transfer to the ground during attitude maneuver The antenna motion compensation technology can ensure that the normal data transmission of the ground-based digital transmission antenna can be continued during the satellite attitude mobile imaging, thereby improving the efficiency of satellite data use. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Satellites

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Rolling Bearing Remaining Useful Life Prediction Based on Wiener Process

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Journal of Dynamics, Monitoring and Diagnostics 2022年第4期1卷 229-236页

作者： Wentao Zhao Chao Zhang Shuai Wang Da Lv Oscar García Peyrano School of Mechanical Engineering Inner Mongolia University of Science and TechnologyBaotou 014010China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System Baotou 014010China Cuyo University San Carlos de BarilocheArgentina

Rolling bearing is the key part of mechanical *** prediction of bearing life can reduce maintenance costs,improve availability,and prevent catastrophic consequences,aiming at solving the problem of the nonlinear,random and small sample problems faced by rolling bearings in actual operating *** this work,the nonlinearWiener process with random effect and unbiased estimation of unknown parameters is used to predict the remaining useful life of rolling ***,random effects and nonlinear parameters are added to the traditional Wiener process,and a parameter unbiased estimation method is used to estimate the positional parameters of the constructed Wiener ***,the model is validated using a common set of bearing *** results show that compared with the traditional maximum likelihood function estimation method,the parameter unbiased estimation method can effectively improve the accuracy and stability of the parameter estimation *** model has a good fitting effect,which can accurately predict the remaining useful life of rolling bearing.

关键词： parameter estimation remaining useful life rolling bearing Wiener process

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An Adaptively Distributed Algorithm for Noncooperative Games of High-Order Integrator systems

An Adaptively Distributed Algorithm for Noncooperative Games...

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International Conference on control and Automation (ICCA)

作者： Xixiang Du Feng Xiao Mei Yu State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources The School of Control and Computer Engineering North China Electric Power University Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

In this paper, an adaptively distributed Nash equilibrium (NE) seeking algorithm is designed for heterogeneous high-order integrators in noncooperative games. The adaptively distributed algorithm is proposed that introduces a scaling parameter with adaptive adjustments to the weights of the edges in the communication graph. The main advantage is to ensure the convergence of the algorithm to the NE without requiring the knowledge of graph's algebraic connectivity. The convergence of the designed algorithm to the NE is analyzed by the Lyapunov stability theory and input-to-state stability theory. A numerical example is given to illustrate the proposed method.

关键词： Asymptotic stability Automation Games Nash equilibrium Stability analysis Distributed algorithms Numerical stability

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Multitime Scale Active and Reactive Power Coordinated Optimal Dispatch in Active Distribution Network Considering Multiple Correlation of Renewable Energy Sources

Multitime Scale Active and Reactive Power Coordinated Optima...

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作者： Chen, Shuai Wang, Chengfu Zhang, Zhenwei Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education School of Electrical Engineering Shandong University Jinan China

To improve the adaptability for renewable energy sources (RES), a multitime scale optimal dispatch method, which considers the multiple correlations of RES, is proposed in the active distribution network (ADN). The proposed method includes a multiple correlation model of RES and a scheduling framework. The multiple correlation model of RES is formulated by t Copula function, Sklar's theorem, and conditional distribution of multivariate t distribution. The multiple correlation model can estimate the forecast error of the future period according to the historical data and the latest prediction. The scheduling framework further employs the revised forecast to coordinate the fast/slow-response regulation resources in the ADN under three timescales. In the day-Ahead stage, the operation state of slow-response resources is optimized and determined. In the intraday stage, the output of the fast-response resource, which is transferred to the real-Time stage as reference trajectory, is optimized based on the short-Term prediction. In the real-Time stage, the stochastic model predictive control is adopted to adjust the output of fast-response resources based on ultra-short-Term prediction and reference trajectory. Case analyses indicate that the proposed method can effectively reduce the voltage fluctuation, promote the utilization of demand-side resources, and improve the system economic performance by introducing the multiple correlation model. © 1972-2012 IEEE.

关键词： Stochastic systems

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In-situ Monitoring of Maximum and Average Chip Junction Temperature within Multichip IGBT Power Modules Using Kelvin Emitter Voltage

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Yang, Jianxiong Ran, Li Che, Yanbo Du, Mingxing Tianjin University of Technology Tianjin Key Laboratory of Control Theory and Applications in Complicated System Tianjin300384 China Chongqing University State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical Engineering Chongqing400044 China University of Warwick School of Engineering CoventryCV4 7AL United Kingdom Tianjin University Key Laboratory of Smart Grid of Ministry of Education School of Electrical and Information Engineering Tianjin300072 China

Parallel configurations of power chips within a multichip IGBT power module (M-IGBT-PM) are employed to meet the required current and power ratings. When the internal chips of an M-IGBT-PM experience uneven temperature distributions and package aging, it becomes challenging to determine the maximum and average temperatures of the chips within the module. This paper investigates the relationship between four transient thermal-sensitive electrical parameters (T-TSEPs) derived from the Kelvin emitter voltage and the chip junction temperature, while establishing relevant mathematical models. It compares the sensitivity and linearity of these four T-TSEPs, and also assesses the influence of external gate resistance, bus voltage, and load current on each of them. A key innovation in this paper is the proposal of a method for monitoring the maximum and average temperatures across the chips within the M-IGBT-PM, which is not influenced by the load current. The experimental results suggest that the temperature derived from the quasi-turn-on delay time is a good approximation of the maximum chip temperature, whereas the temperatures predicted by the other T-TSEPs are nearer to the average temperature. © 2025 IEEE.

关键词： Insulated gate bipolar transistors (IGBT)

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NUMERICAL SIMULATION OF SURFACE DISCHARGE IN OIL PAPER INSULATION BASED ON FINITE ELEMENT METHOD AND CELLULAR AUTOMATA 22

NUMERICAL SIMULATION OF SURFACE DISCHARGE IN OIL PAPER INSUL...

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22nd International Symposium on High Voltage engineering, ISH 2021

作者： Chen, Jianning Zhou, Yuanxiang Zhang, Yunxiao Huang, Xin Zhang, Ling State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781839536052

Surface discharge of oil paper insulation is one of the insulation defects in converter transformers. However, the mechanism of surface discharge in oil paper insulation remains unclear. A novel method of surface discharge in oil paper insulation based on finite element method (FEM) and cellular automata (CA) was proposed to study the mechanism and fractal characteristics. Firstly, the needle-plate electrode without normal component of electric field density was adopted as the geometric model, on which the unstructured triangular mesh generation was performed. Then, the FEM is applied to compute the distribution of potential, electric field and charge in the simulated field, which performed better than finite difference method (FDM) in accuracy and complexity of computation. Finally, the CA model was adopted to simulate the development of surface discharge with the electric field threshold. The results indicated that the numerical simulation model based on FEM-CA can simulate the dynamic process and fractal characteristics of surface discharge in oil paper insulation. According to the fractal dimension curve, the surface discharge can be obviously divided into three stages: inception, propagation and flashover. With the increase of applied voltage, the fractal dimension of surface discharge increases in inception stage, then decreases in propagation stage, and finally increases in flashover stage. © 2021 The Institution of engineering and Technology.

关键词： Cellular automata

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Review of Research on New Energy Ramp Events

Review of Research on New Energy Ramp Events

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IEEE/IAS Industrial and Commercial Power system Asia (I&CPS Asia)

作者： Chao Wang Hong Lin Ming Yang Xiaoling Fu School of Electrical Engineering Xinjiang University Urumqi China School of Energy and Control Engineering Changji University Changji China Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China

With the massive access of new energy represented by wind power and photovoltaic to the power system, the new energy ramp events on the secure and stable operation of the power grid have brought huge challenges. The ramp events are reviewed from four aspects: the causes, definitions, prediction methods and evaluation indicators of ramp events. Firstly, the causes of wind power ramp events(WPRE) and solar power ramp events(SPRE) are analyzed, and the common definitions, advantages and disadvantages of ramp events are compared. Then, according to the form of prediction results, the methods of deterministic ramping prediction and uncertain ramp prediction are summarized. On this basis, the commonly used ramp evaluation indexes are summarized. Finally, the prediction of new energy ramp events is prospected.

关键词：

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Research on NLOS environmental ranging method based on gradient boosting tree 8

Research on NLOS environmental ranging method based on gradi...

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8th International Conference on Electrical, Mechanical and Computer engineering, ICEMCE 2024

作者： Li, Wenyu Cao, Shun Liu, Xianda Wang, Minghao Sheng, Shuan Shenyang University of Chemical Technology School of Information Engineering Liaoning Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Liaoning Shenyang China Chinese Academy of Sciences Key Laboratory of Networked Control System Liaoning Shenyang China Shenyang National Research Institute of Intelligent Robots Co. Ltd. Liaoning China

ISBN: (纸本)9798331506230

Indoor distance measurement plays a critical role in positioning services. The complexity of indoor environments, coupled with a limited and small sample size, results in suboptimal distance accuracy. This paper proposes a method for non-line-of-sight distance measurement based on a gradient boosting tree model, effectively addressing the issue of sample size dependency. The random hyperparameter settings of the gradient boosting tree model lead to prolonged fitting times. Additionally, the model utilizes a fixed learning rate, which limits the analysis of features in small samples. To tackle these concerns, we develop a grid optimization algorithm that identifies the best hyperparameter combinations through a hyperparameter grid search. We also implement a weighted value approach and a cosine annealing algorithm to precisely update the learning rate according to training conditions, thus maximizing the learning of small sample features. Our proposed model significantly enhances distance accuracy in non-line-of-sight environments under constraints of training sample size and variety. Comparative experiments demonstrate that our model improves distance accuracy by 63% relative to other machine learning models, with a mean square error of only 0.168m. © 2024 IEEE.

关键词： Distance measurement

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