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SSRN 2023年

作者： Zhang, Hongqi Ma, Shaoxiang Zhu, Bangyou Li, Zhiheng Du, Zhenchang Zhang, Ming Pan, Yuan International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China

A DC active power filter (DAPF) based on modular multilevel converter scheme for the accelerator grid power supply (AGPS) in neutral beam injector system is proposed to reduce the DC bus voltage ripple of AGPS. This will help reduce the output voltage ripple of the AGPS at rated operating conditions, improve the focus state of the extraction beam, and reduce the occurrence of breakdown conditions. The scheme is special in that each module can compensate one frequency component of the ripple current, and the maximum switching frequency is not more than 4 times the ripple frequency. The electrical parameters of all DAPF modules (switching states and module capacitor voltages) are optimal values obtained through an optimal parameter design algorithm. In the process of applying the algorithm, two types of APF modules are distinguished. They have different switching frequencies and ripple suppression effects to adapt to different occasions. The simulation results show that each module can reduce the relative frequency component of the ripple by about 80% under the optimal parameters. Similar results are obtained by the 400V AGPS prototype and 20 V DAPF prototype. © 2023, The Authors. All rights reserved.

关键词： Power converters

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PV Power Forecasting Based on VMD-RIME-LSTM

PV Power Forecasting Based on VMD-RIME-LSTM

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Electrical engineering (CIYCEE), IEEE China International Youth Conference on

作者： Xinyi Jin Ruyue Han Yuechao Ma State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China College of Electric Power Inner Mongolia University of Technology Hohhot China College of Energy and Power Engineering Inner Mongolia University of Technology Hohhot China

ISBN: (数字)9798331530174

ISBN: (纸本)9798331530181

Addressing the challenges posed by the strong nonlinearity and numerous influencing factors of PV power data, this study proposes a novel combined forecasting method that integrates the Variational Modal Decomposition (VMD) and the frost-ice optimization algorithm (RIME) with the Long- and Short-Term Memory neural network (LSTM). Initially, the historical PV power data is decomposed using VMD to break down the complex, non-linear time series into simpler components. Subsequently, the parameters of the LSTM neural network are optimized using the RIME algorithm, which enhances the network's ability to model and predict the decomposed data effectively. Each decomposed time series component is then input into the LSTM neural network individually. The predicted values of each component are subsequently aggregated to obtain the final predicted time series values. The experiment utilizes actual PV power data from a 250MW PV power plant located in a region in the northern hemisphere. By comparing and analyzing the performance of the standalone LSTM model and the VMD-LSTM model, it is demonstrated that the proposed VMD-RIME-LSTM model significantly enhances forecasting accuracy. The results indicate that this combined approach effectively addresses the inherent complexities of PV power forecasting and showcases substantial potential for practical application in real-world scenarios.

关键词： Analytical models Adaptation models Accuracy Time series analysis Neural networks Predictive models Prediction algorithms Forecasting Long short term memory Optimization

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Iron Electrodeposition-Induced Yearly Degradation on Industrial Alkaline Water Electrolysis: Multiphysics Model and Economic Analysis

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SSRN 2024年

作者： Huang, Danji Xiong, Binyu Lu, Ang Ai, Xiaomeng Hu, Kewei Zhong, Zhiyao Fang, Jiakun Wen, Qunlei State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China School of Automation Wuhan University of Technology 122 Luoshi Road Hongshan District Hubei Wuhan430070 China

This paper quantifies the yearly performance degradation in industrial Alkaline Water Electrolysis (AWE), focusing on iron electrodeposition reaction (IER) as the primary degradation mechanism throughout the AWE lifecycle. The IER-induced degradation mechanism impacts hydrogen evolution reaction (HER) materials and membrane porosity, resulting in increased HER activation and membrane ohmic overpotential. To quantitatively assess the effects of IER on AWE performance, a multiphysics model is developed and experimentally validated, demonstrating a predictive accuracy within ±3% relative error. Notably, the model calculations highlight the initial linear slow growth of IER-induced performance degradation, followed by rapid voltage increase due to accumulated iron deposition in the later stages. The findings suggest that timely replacement of affected electrode material and membrane, along with optimized electrolyte management and lifecycle current density operation strategies, can enhance the economic viability of AWE systems. Additionally, the paper includes an economic analysis of operational and maintenance strategies, contributing valuable insights into optimizing the sustainability of industrial hydrogen production. This comprehensive approach offers valuable guidance for optimizing AWE systems in industrial applications. © 2024, The Authors. All rights reserved.

关键词： Economic analysis

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Analysis and Enhancement of Synchronization Stability in Grid-forming PV Systems Using Torque Component Quantification

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IEEE Transactions on Energy Conversion 2025年

作者： Chen, Qiong Tang, Yajie Gong, Diyang Lin, Lei Zeng, Qianqian Shi, Xiaojie State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Wuhan430074 China Electric Power Research Institute State Grid Zhejiang Electric Power Co. Ltd. Hangzhou310022 China

With the rapid deployment of distributed PVs, the stability issues become a serious concern for power systems. As a solution, the grid-forming control (GFM) featuring active regulation of voltage and frequency emerges. Among various GFM schemes, the DC-link voltage synchronous control has attracted tremendous attention as it can stabilize the DC-link voltage of PV systems and utilize the stored energy of their DC-link capacitors to mimic the inertia support. However, a PV system using the DC-link voltage synchronous control (PV-DVSC) can cause low-frequency oscillations (LFOs) under certain operating conditions. To mitigate such risks, this paper investigates the mechanism of LFO and associated suppression method, utilizing the torque component quantification. Firstly, a torque analysis model of the PV-DVSC is established to elucidate the contribution of different control loops on LFO from a torque vector perspective. Additionally, the impacts of key parameters on LFO are quantitatively assessed via the damping and synchronizing torques. Leveraging these torques, a torque-oriented phase compensator (TOPC) is designed, targeting a positive torque to effectively suppress the unstable LFO even under extreme conditions such as desynchronization. Finally, the validity of above analysis and proposed TOPC strategy are verified through simulation control-hardware-in-The-loop test results. © 2025 IEEE.

关键词： Electric power system control

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Saturation characteristics analysis of Marx circuits based on avalanche transistors

Saturation characteristics analysis of Marx circuits based o...

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European Conference on Power Electronics and Applications

作者： Han Chen Lin Liang Ziyang Zhang State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Engineering Research Center of Power Safety and Efficiency Ministry of Education Huazhong University of Science and Technology Wuhan China

The Avalanche Bipolar Junction Transistor turns on in just a few hundred picoseconds. It plays an irreplaceable role in the field of fast pulses. The saturation characteristics of Marx circuits based on avalanche transistors are especially obvious. By analyzing the circuit principle, the saturation characteristics are influenced by the discharge capacitor and load resistance. The influence is studied in this paper by building simulation circuits in PSPICE. By using the voltage utilization to quantify the saturation characteristics and fitting the parameters from the simulation results, a general saturation formula is obtained. Subsequently, a ten-stage Marx circuit is built to verify the saturation characteristics.

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Optimized Design and Analysis of Clip Bonding Packaging for Avalanche Bipolar Junction Transistor

Optimized Design and Analysis of Clip Bonding Packaging for ...

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Power Electronics and Application Symposium (PEAS), IEEE International

作者： Mosai Xu Lin Liang Xiaoxue Yan State Key Laboratory of Advanced Electromagnetic Technology Engineering Research Center of Power Safety and Efficiency Ministry of Education School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China

To meet the increasing demand for high switch speed of avalanche bipolar junction transistors (ABJT) and to solve the heat dissipation problem of the commonly used SOT23 packaging, an optimized packaging design for ABJT using the clip bonding is proposed. In this paper, a series of analysis is conducted based on finite element simulation to study the thermomechanical performance of the novel clip bonding packaging. A comparison of the parasitic parameters, thermal and mechanical properties between clip bonding and wire bonding packaging demonstrates that the bigger bonding area leads to lower inductances and thermal resistance, as well as better heat dissipation performance and reliability. The thickness of the copper sheet is also optimized and the reliability analysis is conducted using the Hallberg-Peck model, demonstrating that the reliability of the clip bonding packaging is superior to the conventional SOT23 packaging using wire bonding.

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The Evaluation Index System and Method of Electricity Spot Market Based on SCP Theory 5

The Evaluation Index System and Method of Electricity Spot M...

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5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Zhao, Lu He, Xianglu Fan, Li Gong, Qing Wu, Yaowu Ouyang, Litao Xiao, Yunhao Hubei Electric Power Investigation and Design Institute Wuhan China Huazhong University of Science and Technology Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9781665434256

The construction of the power market evaluation system is an important process in the construction of the power market. With the continuous development of China electricity spot market, how to combine the development characteristics of the domestic electricity spot market and systematically propose a set of index systems to evaluate the market development process and operation status is an urgent problem that needs to be resolved. Based on the SCP(structure-behavior-performance) theory commonly used in the evaluation of foreign electricity markets, this paper lists key indicators from three aspects: market structure, market behavior and market performance. At the same time, combined with the characteristics of the analytic hierarchy process and the fuzzy set theory, the fuzzy analytic hierarchy process is introduced to organically combine the objectivity of indicators and the subjectivity of expert judgment, which can quantitatively analyze the development of various aspects of the market. Finally, the actual data of the PJM market in the United States is used to analyze, and the results prove the effectiveness of the method. © 2021 IEEE

关键词： Analytic hierarchy process

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Frequency Agile Strategy Design of Radar Network for Wideband Sweep Jamming via Coalition Formation Game

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IEEE Transactions on Aerospace and Electronic Systems 2025年第3期61卷 7906-7919页

作者： Liao, Maosen Xiong, Kui Zhang, Long Yu, Xianxiang Cui, Guolong University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Laboratory of Electromagnetic Space Cognition and Intelligent Control Technology Beijing100089 China School of Information and Communication Engineering Chengdu611731 China UESTC Shenzhen Institute for Advanced Study Chengdu611731 China

This article proposes an intelligent frequency agile design strategy for radar network using coalition game theory to counter wideband sweep jamming, which is formulated as a two-stage decision-making problem. In the first stage, the entire frequency agile range is divided into several non-overlapping agile subrange, and each radar selects a frequency agile subrange to join, which is solved by the coalition formation algorithm. Then, after achieving a stable coalition partition, a distributed multi-agent reinforcement learning algorithm is developed to address the specific carrier frequency selection problem within each coalition. By combining these two stages of the frequency agile design strategy, a joint coalition formation game and distributed Q-learning algorithm (CFDQ) is proposed. Finally, numerical simulations are conducted to illustrate the superiority of the proposed algorithm over several typical frequency agile strategies. © 1965-2011 IEEE.

关键词： Jamming

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On the Distribution of N2+ and N2 Bands in Ionization Region of Positive DC Corona Discharge 4th

On the Distribution of N2+ and N2 Bands in Ionization Region...

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4th International Symposium on Plasma and Energy Convention, ISPEC 2022

作者： Zhang, Wanxia Xia, Lingzhi Sun, Hao Cheng, Yang Liu, Yushun He, Hengxin Chen, Shen State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China State Grid Anhui Electric Power Company Electric Power Research Institute Anhui Province Hefei230022 China Institute of Electrical Engineering of the Chinese Academy of Sciences International S&T Cooperation Base for Plasma Science and Energy Conversion Beijing100190 China

ISBN: (纸本)9789819915750

The value of electric field in the ionization region of positive DC corona discharge is a key parameter that affects the accurate calculation of ground electric field of UHVDC transmission line. In order to research on the measurement of the electric field in positive DC corona ionization zone, we established an experimental observation system of emission spectrum of positive corona discharge in the rod to plate air gap under atmospheric pressure. The gas temperature and the spatial distribution of excited particles of N2+(FNS,0–0), N2(SPS,0–0) and N2(SPS,2–5) in the ionization zone under different DC voltages were obtained, where the electrode radius is 3 mm. From the measurement results, it is noted that with voltage increase the corona ionization layer thickness tends to be constant and the spectral line ratio of N2+ and N2 decreases. To obtain quantitative relationship between the electric field and the spectrum line ratio, a fluid model with 29 species and 135 chemical reactions was established. Through simulation, we discussed the influence of the chemical reaction rate related to the number density of excited state particles in the ionization zone on the ratio of spectral lines. Based on the inversion of the experimental spectral ratio, the distribution of the electric field in the ionization zone of positive glow corona discharge was further obtained. The above work provides a theoretically feasible solution for measuring the electric field of UHVDC transmission lines in the future. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Nitrogen

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ANALYSIS OF NEW STABILITY CHARACTERISTICS OF LARGE-SCALE RENEWABLE ENERGY CONNECTED TO POWER SYSTEM 10

ANALYSIS OF NEW STABILITY CHARACTERISTICS OF LARGE-SCALE REN...

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10th Renewable Power Generation Conference, RPG 2021

作者： Liu, Yinjie Lin, Chensheng Li, Yingbiao Wang, Tiezhu State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781839536069

Driven by the goal of "Carbon Neutral and Carbon Peak", the large-scale application of renewable energy has become the inevitable trend of power system development in China. With the rapid development of renewable energy, the stability characteristics of the traditional power systems will change greatly. Under the scene of large-scale renewable energy access in Northwest power grid, and based on the existing structure of Northwest power grid, this paper simulates the development trend of renewable energy in the future, and builds different thermal electricity output scenarios and different renewable energy proportion scenarios by PSD-BPA. In these proposed scenarios, the synchronization stability, voltage stability, and frequency stability of the power system are simulated and analyzed. According to the result of the simulation, the new stability characteristics of the Northwest power grid with high penetration of renewable energy resources are extracted and the influence mechanism of the renewable energy access percentage on power stability is analyzed. © The Institution of engineering and technology.

关键词： Renewable energy resources

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