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Effects of Corona Discharge from the Grounding Tip on Charge Evolution of Wall Bushing

IEEE Transactions on Power Delivery 2025年第3期40卷 1682-1693页

作者： Bai, Zheng Zhou, Yuanxiang Zhang, Yunxiao Huang, Xin Xie, Xiongjie Liu, Taiwei Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing100084 China Electric Power Research Institute State Key Laboratory of Power Grid Environmental Protection Wuhan430204 China

Manufacturers consider that the grounding tip near the wall bushing flange is a potentially important factor in several sheath perforation accidents. Taking a ±100 kV true type SF6 gas-insulated bushing as a typical wall bushing, this paper tests the impact of the nearby grounding tip on the charge accumulation. Based on the experiment results, we propose the three-dimensional nonlinear conduction model to unravel the charge accumulation process and the three-dimensional corona ion migration model to clarify the corona process. It is concluded that the consumption of gas ions leads to the nonlinear charge relaxation process. When the corona of grounding tip incepts, numerous ions are generated, forming an "overcharge" phenomenon. The electric field at the insulator-sheds interface and the SF6-insulator interface increases compared to the normal condition, with non-uniform distribution along the circumferential direction. Material inhomogeneity amplifies electric field distortion and creates insulation weaknesses, making insulation aging more likely and potentially leading to a slowly developing electrical tree breakdown process. The length of the needle tip affects the duration of the corona effect;an excessively long needle tip can cause a sustained corona discharge. This research provides a foundation for bushing accidents analysis and operation reliability improvement. © 1986-2012 IEEE.

关键词： Bushings

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A Line protection Method Based on Dual Terminal Dynamic system Impedance 9th

A Line Protection Method Based on Dual Terminal Dynamic Syst...

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9th Purple Mountain Form on smart grid protection and control, PMF 2024

作者： Yu, Hong Wu, Chenke Zhang, Yichi Wu, Tonghua Dai, Wei Li, Hongxia Yang, Libin State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China NARI Group Corporation Nanjing211106 China College of Energy and Electrical Engineering Hohai University Nanjing210098 China State Grid Qinghai Electric Power Company Xining810000 China

ISBN: (纸本)9789819616701

Affected by its control strategy, the output characteristics and fault characteristics of the inverter-interfaced distributed generations (IIDG) are different from those of synchro during the fault period, and the differential protection criteria applied to transmission lines cannot be directly transplanted into the distribution network. To solve the above problems, the fault characteristics of the inverter power supply are analyzed through the control strategy during the fault period, and a method to improve the sensitivity of line protection based on two-terminal dynamic impedance is proposed. The method uses the virtual part of the impedance of the two-end system and the line to construct the criterion, which avoids the influence of the traditional longitudinal differential protection on the current amplitude and phase relationship at both ends. Finally, PSCAD simulation software is used to build a 10 kV active distribution network model. The simulation results show that compared with the traditional current longitudinal differential protection, the proposed method has the advantages of high sensitivity, reliability, and strong resistance to transition resistance. © state grid Electric Power 2025.

关键词： Relay protection

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Verification and Testing of Emergency Stability control for Micro-grid in Industrial Park

Verification and Testing of Emergency Stability Control for ...

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2025 International Conference on Electrical Automation and Artificial Intelligence, ICEAAI 2025

作者： Yang, Zaixin Han, Tao Qu, Yannan Taopu, Yedong Institute of Relay Protection Inner Mongolia Electric Power Science & Research Institute Inner Mongolia Key Laboratory of Smart Grid of New-type Power System Hohhot China

ISBN: (纸本)9798331506797

With the development and transformation of industrial micro-grid, analyzing the emergency stability control of micro-grid when a fault occurs and the section is disconnected is of significant importance. In this paper, the industrial power grid characteristics are analyzed and the mathematical model of comprehensive loads are established. An emergency stability controller with voltage control and frequency control functions is proposed and the block of controller is designed by the programming language DSL. A micro-grid in industrial park based on RTDS is used for semi physical simulation testing of emergency stability control strategy. Simulation of under-frequency reverse power show that the correctness and effectiveness of the emergency stability control strategy. © 2025 IEEE.

关键词： DSL emergency stability control micro-grid RTDS

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Verification and Testing of Emergency Stability control for Micro-grid in Industrial Park

Verification and Testing of Emergency Stability Control for ...

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Electrical Automation and Artificial Intelligence (ICEAAI), International Conference on

作者： Zaixin Yang Tao Han Yannan Qu Yedong Taopu Inner Mongolia Key Laboratory of Smart Grid of New-type Power System Institute of Relay Protection Inner Mongolia Electric Power Science & Research Institute Hohhot China

ISBN: (数字)9798331506797

ISBN: (纸本)9798331506803

关键词： Computer languages Power system stability control systems Stability analysis Power grids Mathematical models DSL Voltage control Frequency control Testing

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An Optimal Competitive Bidding and Pricing Strategy for Electric Vehicle Aggregator Considering the Bounded Rationality of Users

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IEEE Transactions on Industry Applications 2025年第3期61卷 4898-4912页

作者： Wang, Qi Huang, Chunyi Wang, Chengmin Xie, Ning Li, Kangping Qiu, Peng Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China Northeast Electric Power University Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Jilin132012 China Shanghai Jiao Tong University College of Smart Energy Shanghai200240 China State Grid Zhejiang Electric Power Company Electric Power Research Institute Hangzhou310014 China

Accurate estimation of the charging demand of electric vehicle (EV) users has a profound impact on the profitability of the EV aggregator (EVA). Existing studies concerning the market strategy of EVA normally assume the EV users are equipped with complete rationality and simplify the real interactive process among EVAs and EV users, making the derived strategy unable to adapt to the practical situations. To address this bottleneck, a novel competitive bidding and pricing strategy for EVA considering both the bounded rationality of EV users and various game relationships between multiple agents is proposed. Firstly, the evolutionary game theory is utilized to simulate the bounded rational charging behaviors of EV users under differentiated charging prices, while their demand elasticity and uncertainty of driving pattern is also taken into account. Secondly, the complex interactions among EVAs and EV users are modeled, where the competition between EVAs is constructed by a non-cooperative game with incomplete information and the interplay between EVAs and EV users is built as a Stackelberg game. Finally, numerical results validate the effectiveness of the proposed method and demonstrate the pricing strategy preferences of EVAs based on the diverse price elastic coefficients of EV users. © 2025 IEEE. All rights reserved

关键词： Game theory

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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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Fault diagnosis method for ship power-system DC–DC converter using augmented WPD and multi-branch CNN-BiLSTM network

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Journal of the Franklin Institute 2025年第9期362卷

作者： Ren, Yuanjie Zhang, Lanyong Shi, Peng Peng, Huimin College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China School of Electrical and Mechanical Engineering The University of Adelaide SA5000 Australia State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

Direct current (DC) –DC converters are indispensable energy conversion devices in medium-voltage DC power systems of ships. Herein, the fault diagnosis problem of bidirectional DC–DC converters is investigated. Considering that the fault diagnosis of bidirectional DC–DC converters requires the effective combination of information from multiple diagnostic signals and differences in characteristic data in different time scales, a parallel stacking of multiple branches based on enhanced wavelet packet decomposition technology is proposed as a hybrid model of a convolutional neural network and bidirectional long short-term memory network. First, a multi-input method is used to extract effective features in the sequence data. Second, a multi-model fusion processing framework is used to perform fault diagnosis analysis on the DC–DC converter. Finally, the squeeze and excitation attention mechanism is used to weight all types of fault features and adaptively obtain them. The important weights of the classification feature maps learned by different branches generate fault classification results. Experimental results reveal that the proposed method can extract highly discriminative features from raw data and exhibits robustness in noisy environments. © 2025 The Franklin Institute

关键词： Convolutional neural networks

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Enhancing Corrosion Resistance of Copper for C4F7N Based Eco-Friendly Gas-Insulated Equipment

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High Voltage 2025年

作者： Xiao, Song Xia, Haoran Li, Zhanyuan Wang, Yifan Tang, Ju Zhang, Xiaoxing Li, Yi State Key Laboratory of Power Grid Environmental Protection School of Electrical Engineering and Automation Wuhan University Hubei China Baoding Baoling Transformer Company Ltd. Baoding China Key Laboratory for High-Efficiency Utilization of Solar Energy and Operation Control of Energy Storage System School of Electrical and Electronic Engineering Hubei University of Technology Wuhan China

Perfluoroisobutyronitrile (C4F7N) is recognised as the next-generation dielectric medium for eco-friendly gas-insulated equipment (GIE). However, there is gas metal incompatibility in strong electromagnetic environments and environmentally friendly insulating gas atmospheres that endangers the operational safety and service life of GIE. Here, a solvent-induced grain boundary reconstruction method was proposed to prepare corrosion-resistant copper rapidly. Accordingly, the partial discharge-induced gas–metal interaction was simulated and the corrosion resistance properties of copper were evaluated. Additionally, the gas–solid interaction mechanism was investigated and the improvement mechanism of the proposed method on the stability of the gas–solid interface was discussed. Related results provide a reference for the development and application reliability of C4F7N-based eco-friendly GIE. © 2025 The Author(s). High Voltage published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and China Electric Power Research Institute.

关键词： Oxidation resistance

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Air Pollution Monitoring By Integrating Local and Global Information in Self-Adaptive Multiscale Transform Domain

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IEEE Transactions on Multimedia 2025年

作者： Gu, Ke Liu, Yuchen Liu, Hongyan Liu, Bo Qiao, Junfei Lin, Weisi Zhang, Wenjun Beijing University of Technology School of Information Science and Technology Engineering Research Center of Intelligent Perception and Autonomous Control of Ministry of Education Beijing Laboratory of Smart Environmental Protection Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Artificial Intelligence Institute Beijing100124 China Massey University School of Mathematical and Computational Sciences New Zealand Nanyang Technological University College of Computing and Data Science Singapore Shanghai Jiao Tong University Institute of Image Communication and Information Processing Shanghai China

As the deadliest form of pollution, air pollution had a prolonged severe damage to the human health and life safety of nearly 99% of the world's population. Facing to the problem that billions of tons of pollutants discharged into the air per year by industrial activities, this paper proposed a novel image-based air pollution monitor (IAPM) by incorporating local and global information in the self-adaptive multiscale transform domain, so as to achieve the timely and effective leakage detection of typical air pollutants from a single image. To be specific, this paper first developed a screen-shaped module according to two significant findings in visual neuroscience, which include the high sensitivity of human eyes to horizontal and vertical stimuli and the center-surround inhibition, by designing and fusing the square module, horizontal strip module and vertical strip module parallelly for simulating the behaviour of human eyes to extract local features. Second, the learnable weights and proportional mapping were applied to incorporate the screen-shaped module and lightweight vision transformer as backbone, towards more richly exploiting and fusing local and global information just as the way a brain perceives external stimuli. Third, a new self-adaptive multiscale transform domain method was devised based on two motivations from the visual characteristics of multiscale perception and the brain characteristics of self-adaptive domain transform to modify the backbone by using the operations of pooling and pointwise convolution. Extensive experiments implemented on the datasets of carbon particulate matters and ethylene leakage confirmed the superior monitoring performance of the proposed IAPM model beyond the state-of-the-art (SOTA) peers by an accuracy gain of about 4%. Furthermore, the proposed IAPM model only required 0.089 GFLOPs and 0.15 million model parameters, remarkably outperforming SOTA competitors in computational efficiency and storage resources. © 1999-2

关键词： Information leakage

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Fast Distance protection Scheme for Wind Farm Transmission Lines Considering R-L and Bergeron Models

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Journal of Modern Power systems and Clean Energy 2023年第3期11卷 840-852页

作者： Zepeng Hu Bin Li Yuping Zheng Tonghua Wu Jiawei He Bin Yao Yaru Sheng Wei Dai Xindong Li Electrical Engineering and Automation Tianjin UniversityTianjinChina State Key Laboratory of Smart Grid Protection and Control NARI Group CorporationNanjingChina

The distributed capacitance of the line becomes larger as the scale of wind farms,the transmission voltage level,and the transmission distance ***,the error of the traditional time-domain distance protection scheme based on the R-L model,which ignores the distributed capacitance of the line,becomes ***,the error of the time-domain fault location method based on the R-L model,especially the maximum error range,is theoretically analyzed in this *** this basis,a novel fault location method based on the RL and Bergeron models is ***,a fast time-domain distance protection scheme is *** the proposed scheme,the error in the fitting calculation is used to construct a weight matrix,and an algorithm for solving the time-domain differential equations is designed to improve the calculation speed and *** with the traditional frequency-domain distance protection scheme,the proposed scheme is independent of the power supply characteristics;thus,it is suitable for wind farm transmission *** addition,compared with the traditional method based on the R-L model,the proposed scheme effectively avoids the negative influence of the distributed capacitance of the line,which significantly improves the operating *** types of faults are simulated by PSCAD/EMTDC to verify the effectiveness and superiority of the proposed scheme.

关键词： Transmission line R-L model time-domain distance protection wind farm

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