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4th IEEE China International Electrical and Energy Conference, CIEEC 2021

作者： Han, Wuqi Zhang, Dandan Zhao, Hailong Wei, Shixun Pang, Songling Pan, Wenwu Electric Power Science Research Institute of Hainan Power Grid Co. Ltd. Hainan Power Grid Tropical Smart Grid Laboratory Haikou China Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan China

ISBN: (纸本)9781728171494

The statistics of lightning activity parameters is the basis to guide the lightning protection design, transformation and study of lightning characteristics of transmission lines. The lightning activity parameters are closely related to the land type. Based on the ground lightning data of lightning location system in Hainan Island, combined with the land type data from resource and environmental science and data center, this paper uses ArcGIS geographic software to supplement the land type data of ground flash point, and studies the law of lightning activity parameters and land types, such as mean value of lightning current amplitude, ground lightning density, cumulative probability distribution of lightning current amplitude, positive lightning ratio and so on. The study shows that the average amplitude of total lightning current in paddy field is the largest;due to the heat island effect, the total land flash density, negative ground flash density and positive ground flash density of urban land are much higher than those of other land types, and more attention should be paid to the transformation of forest land lightning protection measures;the median current of cultivated land is the largest, and the probability of larger amplitude lightning current is the largest. The proportion of positive flashover in lakes is the largest, so the influence of positive lightning on lightning shielding of transmission lines should be properly considered. © 2021 IEEE.

关键词： Electric lines

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A Hybrid Deep Learning Framework With Local-Global Feature Extraction for Intelligent Power System Stability Assessment

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IEEE Transactions on Power Systems 2025年

作者： Yao, Wei Zhang, Runfeng Zhang, Yurun Wei, Shanyang Lan, Yutian Shi, Zhongtuo Wen, Jinyu Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology Wuhan430074 China

Transient simulation is the key to ensure the safe and stable operation of power systems. After large disturbances, power systems may experience transient rotor angle instability and short-term voltage instability, which share similar electrical characteristics but require different control strategies. Therefore, distinguishing the dominant instability mode (DIM) is crucial. In this paper, a novel hybrid deep learning (DL) framework is proposed to achieve accurate DIM identification by fully extracting local-global features from electricity data. In the proposed framework, an advanced graph neural network (GNN) optimized by random sampling and aggregation is constructed. It can better capture local features than traditional GNN and help to improve model generalization ability. Further, important global features are mined by employing transformer network with self-attention mechanism to improve DIM identification accuracy. In addition, the vital discrete fault features are also embedded into the neural networks to improve the performance. The proposed method improves upon existing DL models by providing a solution for integrating multi-level features extracted by different schemes and addressing the limitation of focusing on a single instability mode. Case studies conducted on an 8-machine 36- bus system and Northeast China Power Grid verify the superiority of the proposed method over other state-of-the-art DL methods. © 1969-2012 IEEE.

关键词： Transient stability

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Relationship between power flow transferring and path length using graph theory 1

Relationship between power flow transferring and path length...

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1st IEEE China International Youth Conference on Electrical engineering, CIYCEE 2020

作者： Yu, Jiawei Yang, Ziqian Zhan, Meng Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Wuhan430074 China

ISBN: (纸本)9781728196596

Unexpected power changes may lead to transmission line overload and even evolve into cascading breakout. To avoid this, the key is to analyze how the power flow transfers after disturbance. When the scale of the system is large, the accurate calculation of power flow transferring will require a lot of calculation and become more difficult. From the perspective of complex network, we build a bridge between path length and power correlation rate. The former is an inherent property of the network, and the latter is an electrical quantity for a specific power disturbance. We find that power, similar to liquids, tends to flow along the fast-moving path, that is, the path with short path length. Finally, the results are verified in radial and ring network respectively. It is hoped that this will provide an intuitive understanding for power system operators. © 2020 IEEE.

关键词： Complex networks

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Analysis of Conducted EMI for Sub-Modules in Modular Multilevel Converter

Analysis of Conducted EMI for Sub-Modules in Modular Multile...

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2020 IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2020

作者： Wang, Feng Liu, Jianben Wang, Xuehua State Key Laboratory of Power Grid Environmental Protection Wuhan China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9781728152240

Modular multilevel converter (MMC) is stacked by numerous sub-modules (SMs) which contain many stray capacitances. As a result, the analysis of conducted electromagnetic interference (EMI) is very complicated. In this paper, the SMs in the symmetrical position of the upper and lower bridge arms are regarded as a group, And a conducted EMI model is developed to elaborate the common mode (CM) interference mechanism of each group. Then the CM current components of each group are separated by sweep frequency analysis and source extraction methods. The results are consistent with the theoretical analysis. Accordingly, proper strategies are given to reduce EMI according to the role of different SM group. Finally, the simulation results tested from a MMC grid-connected inverter system are conducted to confirm the validity of the analysis. © 2020 IEEE.

关键词： electromagnetic pulse

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Unveiling Bidding Uncertainties in Electricity Markets: A Bayesian Deep Learning Framework Based On Accurate Variational Inference

SSRN

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SSRN 2022年

作者： Wu, Shengyang Ding, Zhaohao Wang, Jingyu Shi, Dongyuan State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Hubei Wuhan430074 China School of Electrical and Electronic Engineering of North China Electric Power University Beijing China

With the ever-increasing level of bidding freedom bestowed to participants in deregulated electricity markets, bidding strategies have become more complicated, inevitably giving rise to the growth of market uncertainties. Despite the rich literatures on Bidding Behavior Forecasting (BBF), there remains a gap in enhancing the performance of probabilistic BBF and understanding the sources of bidding uncertainties in electricity markets. This paper proposes a holistic Bayesian Deep Learning (BDL) framework based on Accurate Variational Inference (AVI) to bridge the gap. The introduced framework first modifies the traditional Bayesian Neural Network (BNN) by introducing the parameter-selective Rényi's α-divergence to realize AVI. The ameliorated algorithm procures higher BBF accuracy. Afterwards, the proposed framework captures both aleatoric and epistemic uncertainty, two major uncertainties in deep learning that represent the uncertainties within bidding behaviors and within the proposed BBF model, respectively. A new metric called uncertainty contribution to evaluate the potential influencing factors' impact on the bidding uncertainties is then brought up. Using the proposed metric, we ascertain the prominent origin of bidding behavior uncertainty and propose realistic explanations to support the theory. Finally, numerical experiments are carried out utilizing historic data in Australia to demonstrate the performance of the proposed framework. © 2022, The Authors. All rights reserved.

关键词： Uncertainty analysis

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Impurity radiation seeding of neoclassical tearing mode growth

arXiv

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arXiv 2024年

作者： Zeng, Shiyong Zhu, Ping Howell, Eric C. State Key Laboratory of Advanced Electromagnetic Engineering and Technology International Joint Research Laboratory of Magnetic Confinement Fusion and Plasma Physics School of Electrical and Electronic Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China Department of Nuclear Engineering and Engineering Physics University of Wisconsin-Madison MadisonWI53706 United States Tech-X Corporation 5621 Arapahoe Avenue Suite A BoulderCO80303 United States

The physics of neoclassical tearing mode (NTM) is of great concern to the tokamak plasma stability and performance, especially in the burning plasma regime. Whereas a great deal about the different seeding mechanisms have been understood, and in many situations the seed event can be clearly identified, the potential seeding process of NTM due to the resistive tearing instability driven by the impurity radiation cooling still needs more studies. Recent NIMROD simulations have demonstrated that the local impurity radiation cooling can drive the seed island growth and trigger the subsequent onset of neoclassical tearing mode instability. The seed island is mainly driven by the local helical perturbation of the diamagnetic current induced by the perturbed pressure gradient as a result of the impurity radiative cooling on the rational surface. A heuristic closure for the neoclassical viscosity is adopted, and the seed island is further driven by the perturbed bootstrap current induced from the neoclassical electron viscous stress in the extended Ohm’s law. The growth rate of the NTM in simulations is found proportional to the electron neoclassical viscosity, and a theoretical neoclassical driving term is adopted to account for the nonlinear neoclassical island growth in the *** Codes 76W05 (Primary) © 2024, CC BY-NC-SA.

关键词： Tokamak devices

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Chronological Operation Simulation for Power System with Peak Regulation Ancillary Service Market in China: Formulation, Solving, and Validation

SSRN

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SSRN 2022年

作者： Wei, Lishen Ai, Xiaomeng Fang, Jiakun Lou, Yixuan Liao, Shiwu Wen, Jinyu State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan430074 China TODE Co. Ltd. Nanjing210046 China

Peak regulation ancillary service market (PRSM) is an emerging and effective mechanism for renewable energy accommodation in China, especially under Carbon Neutral. To comprehensively analyze its long-term impact on the power system, a chronological operation simulation (COS) model is proposed. Besides, the computational-burden balancing technique based on the time-domain decomposition is developed to improve the computational efficiency of COS. The real-world northeast China power system with PRSM has been analyzed. Case studies validate the simulation with published statistical data and demonstrate the accuracy. Besides, 52.16% computation time is reduced compared to the widely used rolling horizon method. The necessity of PRSM for renewable energy accommodation is also verified through chronological simulation. The relationship between peak regulation costs and renewable energy penetration is also given, which demonstrates its applicability. © 2022, The Authors. All rights reserved.

关键词： Computational efficiency

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An intuitive and accurate EMI model for a modular multilevel converter

An intuitive and accurate EMI model for a modular multilevel...

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2020 IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2020

作者： Liu, Mingjie Liu, Jianben Wang, Xuehua State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China State Key Laboratory of Power Grid Environmental Protection Wuhan China

ISBN: (纸本)9781728152240

Modular multilevel converter (MMC) has numerous sub-modules (SMs) that are complex electromagnetic interference (EMI) sources. It poses a challenge on the EMI analysis of MMC. Motivated by the challenge, this article presents an intuitive and accurate EMI model of MMC based on the superposition theorem. The stray parameters of MMC system are extracted to characterize the high-frequency characteristics of the circuit. By modeling the SMs as individual EMI sources, an EMI equivalent circuit is derived which can intuitively tell the conducted EMI principles of MMC. The EMI model based on the EMI equivalent circuit can accurately predict the EMI results of MMC without a great deal of calculation. Simulation results verify the effectiveness and validity of the proposed EMI model. © 2020 IEEE.

关键词： Equivalent circuits

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Discharge characteristics of DC self-pulse touchable plasma jets 1

Discharge characteristics of DC self-pulse touchable plasma ...

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1st IEEE China International Youth Conference on Electrical engineering, CIYCEE 2020

作者： Xu, Jiaxing Nie, Lanlan Lu, Xinpei Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Wuhan430074 China

ISBN: (纸本)9781728196596

The atmospheric pressure non-equilibrium plasma jet (APNP-Js) show great advantages in biomedicine application. This article introduces a touchable DC self-pulse jet with air or helium as the working gas. In order to have quantitative research on the discharge, the discharge current characteristic has been studied that includes the current amplitude, the half-width of the current, and the frequency of the current. Besides that, the nitrogen and oxygen have been added in helium cases to see the influence. For the touchable cases, the discharge mode for air is transient glow while for helium is filamentary. And with the discharge gap increases, the frequency decreases for two cases. The current amplitude changes slightly and half pulse width increases for air, while for helium the amplitude increases and half pulse width changes slightly. © 2020 IEEE.

关键词： Atmospheric pressure

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Simulation analysis of fabry perot effect in terahertz time domain spectroscopy 1

Simulation analysis of fabry perot effect in terahertz time ...

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1st IEEE China International Youth Conference on Electrical engineering, CIYCEE 2020

作者： Yang, Jiayi Tu, Xiude Wang, Lei Xiong, Yongqian Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Wuhan430074 China

ISBN: (纸本)9781728196596

This paper uses the parameter extraction model of the transmission terahertz time-domain spectroscopy technology to theoretically simulate the terahertz time-domain signal of the sample, and then simulates and analyzes the Fabry-Perot effect. The simulated sample signal is very close to the measured sample signal. Through simulation, the influence of thickness, refractive index and extinction coefficient on the terahertz time-domain signal is analyzed. Finally, suggestions for sample detection and signal processing of terahertz time-domain spectroscopy are put forward. © 2020 IEEE.

关键词： Spectrum analysis

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