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IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Yongxin Chen Shiping E Zhenan Du Kanjun Zhang Gaofeng Zhang State Grid Hubei Electric Power Research Institute Wuhan Hubei China State Key Laboratory of Advanced Electromagnetic Engineering and Technology (HUST) Wuhan Hubei China State Grid Hubei Electric Power Co. Ltd Wuhan Hubei China NR Electric Co. Ltd Nanjing Jiangsu China

ISBN: (数字)9798350389166

ISBN: (纸本)9798350389173

The prediction of transformer oil temperature is a time series prediction task, which is of great significance for the maintenance of substation equipment. In the process of multivariate prediction, not all variables are strongly correlated with the prediction of the transformer oil temperature. This paper proposes a transformer oil temperature prediction method based on Feature Selection and Smooth Residual blocks, named FSSR. A two-stage feature selection method is applied to select the related features. Residual connection is applied to convolutional neural network in smooth residual blocks. Experimental study is performed on the ETTh1 and ETTh2 datasets. With different number of selected features, the best one can reduce the average MSE (mean squared error) by at least 20% than the worst one. Compared to the baseline models, FSSR has the best accuracy. Compared with LSTM (Long Short-Term Memory network), the average MSE of FSSR decreased by 27.62% on the ETTh1 dataset, and 39.34% on the ETTh2 dataset.

关键词： Temperature distribution Substations Oils Time series analysis Oil insulation Predictive models Transformers Feature extraction Convolutional neural networks Long short term memory

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Optimization Decision Method based on Nonlinear Analytic Hierarchy Process for Active Distribution Network Planning

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Journal of Physics: Conference Series 2021年第1期1914卷

作者： Xuejun Zheng Xin Hu Jingsong Li Yan Li Xiaotong Luo Shaorong Wang State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science &Technology Wuhan 430074 Hubei Province China

Aiming at the investment environment of the distribution network, this paper deeply analyses the investment conditions of the distribution network, introduces the analytic hierarchy process and modern investment theory, establishes the analytic hierarchy of the investment conditions in the distribution network project, and proposes an optimization decision-making method of investment plan in distribution network. This paper also establishes two new concepts: condition score and correlation score, uses the improving analytic hierarchy process to calculate the weights, proposes a priority ranking method for distribution network projects, and gives detailed process. to formulate distribution network investment plans. The application of the proposed method to optimize the distribution network planning scheme shows that the optimization investment scheme given has better investment benefits under the condition of the power supply reliability requirements of the distribution network and investment capital constraints.

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Erratum to “Complete Provision of MPC-Based LFC By Electric Vehicles With Inertial and Droop Support from DFIG-Based Wind Farm” [Apr 22 716-726]

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IEEE Transactions on Power Delivery 2022年第4期37卷 2428-2428页

作者： Musa Khan Haishun Sun State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan P.R. China

The paper “Complete Provision of MPC-Based LFC By Electric Vehicles With Inertial and Droop Support from DFIG-Based Wind Farm,” [1] contains two errors which are detailed as follows:

关键词： Wind farms Electric vehicles Vehicle-to-grid Predictive control

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Flexible Operation of Solar-Assisted Carbon Capture Power Plants Considering Interval-Enhanced Cvar

SSRN

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SSRN 2024年

作者： Liang, Shuhao Lou, Suhua Zhu, Ziqing Sun, Yongping State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China Hubei Provincial Key Laboratory of Power Safety and Efficiency Huazhong University of Science and Technology Wuhan430074 China Department of Conputer Science The Hong Kong Baptist University Kowloon Tang Hong Kong Institute of State Governance Huazhong University of Science and Technology Wuhan430074 China Center of Hubei Cooperative Innovation for Emissions Trading System Hubei University of Economics Wuhan430205 China

Solar-assisted carbon capture power plants (SACCPPs) leverage solar thermal energy to mitigate power output loss and expand the net output range of carbon capture units, enhancing energy economy, reserve capacity, and carbon emission reduction. However, assessing the flexible operation benefits of SACCPPs in power systems with high wind power penetration is challenging due to complex thermodynamic models and limited risk assessment methods. This study addresses these gaps by proposing an innovative modeling approach and benefits evaluation framework. First, a linear flexible operation model is developed, focusing on the technical features of SACCPPs relevant to power system operation and scheduling. This model elucidates the intercoordination in power generation, carbon capture, and thermal storage. The operating ranges of various carbon capture power plants are quantitatively analyzed using a two-dimensional coordinate diagram, highlighting the flexible regulation advantages of SACCPPs. Second, an interval-enhanced CVaR method is introduced, which considers random variables with unknown probability distributions, refining the current CVaR-based knowledge. This method is used for a quantified risk assessment to evaluate supply-demand imbalance risks in power systems, providing a foundation for assessing SACCPPs' risk mitigation benefits. Third, a risk-aware operation scheduling model is developed to explore SACCPPs' capability in enhancing the system's energy economic benefits, risk mitigation, and carbon emissions reduction. This model aids energy administration in evaluating system gains from SACCPPs and in developing rational system-wide planning and retrofit projects. Finally, numerical simulation and sensitivity analysis results on the modified IEEE-39 bus system validate the robust adaptability and effectiveness of the proposed models and methods. © 2024, The Authors. All rights reserved.

关键词： Wind power

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High Speed, Low Voltage Polarization Controller Based on Heterogeneous Integration of Silicon and Lithium Niobate

High Speed, Low Voltage Polarization Controller Based on Het...

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Optical Fiber Communication (OFC) Conference

作者： Zhiwen Zheng Liwang Lu Chijun Li Wei Wang Sen Zhang Linsheng Fan Tingting Zhang Tianjian Zuo Lei Liu Alan Pak Tao Lau Chao Lu Pengxin Chen Changjian Guo Liu Liu Guangdong Provincial Key Laboratory of Optical Information Material and Technology South China Academy of Advanced Optoelectronics South China Normal University Guangzhou China Network Technology Laboratory Huawei Technologies Co. Ltd. Shenzhen China The Hong Kong Polytechnic University Hong Kong China The Hong Kong Polytechnic University Shenzhen Research Institute Shenzhen China State Key Laboratory for Modern Optical Instrumentation College of Optical Science and Engineering Centre for Optical & Electromagnetic Research International Research Center for Advanced Photonics Zhejiang University Hangzhou China

A high speed, low voltage polarization controller based on Si-LN heterogeneous integration is fabricated and characterized. Vπ of 3.2 - 5.2 V is realized in a frequency range of 60 Hz to 6 MHz.

ISBN: (纸本)9781943580866

A high speed, low voltage polarization controller based on Si-LN heterogeneous integration is fabricated and characterized. Vπ of 3.2 - 5.2 V is realized in a frequency range of 60 Hz to 6 MHz.

关键词： Low voltage Lithium niobate Silicon Optical fiber communication Tuning

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AlGaN/GaN THz resonant plasmonic detectors with symmetric and asymmetric patterns deposited above homogeneous and inhomogeneous 2DEG

AlGaN/GaN THz resonant plasmonic detectors with symmetric an...

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Global Symposium on Millimeter Waves, GSMM

作者： H. Spisser A.-S. Grimault-Jacquin N. Zerounian A. Aassime L. Cao F. Boone H. Maher Y. Cordier F. Aniel Institut d'Electronique Fondamentale CNRS UMR 8622 Universite Paris Sud Orsay France State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan China 3IT.nano Institut Interdisciplinaire d'Innovation Technologique Sherbrooke Canada Centre de Recherche sur I'Hetero-Epitaxie et ses Applications Valbonne France

We investigate plasmonic THz detectors on Al-GaN/GaN hetero-structures for different configurations of the grating (symmetric or asymmetric pattern) and spatial modulation of the electron sheet density. The absorption spectra have been calculated for the different configurations and a few detectors have freshly been fabricated and the transmission and reflection spectra have been measured for one of them. It appears that these detectors could be the ideal candidate for an on-chip, electrically tunable, room-temperature operating and cheap THz detector.

关键词： Gratings MODFETs HEMTs Gallium nitride Detectors Aluminum gallium nitride Wide band gap semiconductors

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Observation of non-local effects in ion transport channel in J-TEXT plasmas

arXiv

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arXiv 2018年

作者： Shi, Yuejiang Yang, Zhoujun Chen, Zhongyong Cheng, Zhifeng Zhang, Xiaoyi Yan, Wei Wen, Jie Cai, Qinxue Zhao, Kaijun Hong, Seulchan Kwon, JaeMin Diamond, Partick H. Shi, Peng Zhou, Hao Pan, Xiaoming Chen, Zhipeng Yang, SeongMoo Dong, Yunbo Wang, Lu Ding, YongHua Liang, Yunfeng Shi, Zhongbin Na, Yong-Su Department of Nuclear Engineering Seoul National University Seoul Korea Republic of 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 Wuhan China College of Nuclear Science and Engineer East China University of Technology Nanchang China National Fusion Research Institute Daejeon Korea Republic of Southwestern Institute of Physics Chengdu China CMTFO and CASS University of California San Diego United States Jülich Germany

In cold pulse experiments in J-TEXT, the ion transport shows similar non-local response as the electron transport channel. Very fast ion temperatures decreases are observed in the edge, while the ion temperature in core promptly begin to rise after the injection of cold pulse. Moreover, the cutoff density is also found for the ion non-local effect. The experimental observed density fluctuation in a high frequency ranging from 500 kHz to 2 MHz is obviously reduced in the whole plasma region during non-local transport (NLT) phase. Copyright © 2018, The Authors. All rights reserved.

关键词： Electron transport properties

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CoFMD-BiLSTM: A Wind and Photovoltaic Power Prediction Method Based on Feature Mode Decomposition and Cooperative Learning Strategy

CoFMD-BiLSTM: A Wind and Photovoltaic Power Prediction Metho...

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Chinese Automation Congress (CAC)

作者： Xinzhi Ding Dayi Li Wei Huang Yiping Chen State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan Yunnan electric power test and Research Institute (Group) Co. Kunming Yunnan Power Grid Co. Ltd. Kunming Novel Electric Power System (Beijing) Research Institute of China Southern Power Grid Beijing China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

With the increasing penetration of new energy sources such as wind and solar, accurate source-side power forecasting helps power system dispatchers to obtain new energy pre-output plans and improve the power system's new energy consumption capacity through the coordination of multiple power generation resources. The wind and photovoltaic power data are characterized by large fluctuations, strong nonlinearity, instability, and strong time dependence, etc. Through “Decomposition-Prediction”, the original sequence is decomposed into a number of sub-sequences, which reduces the volatility and randomness of the original sequence, and has been widely used in wind and photovoltaic power prediction. In order to solve the problem that traditional decomposition algorithms have insufficient decomposition capability to extract data features in a targeted and effective way, we propose a wind and photovoltaic power prediction method based on Feature Mode Decomposition and Cooperative Learning Strategy: the CoFMD-BiLSTM model. A novel emerging decomposition algorithm, Feature Mode Decomposition (FMD), originally applied in fault detection, is introduced. By designing a Cooperative Learning Strategy to learn and fit the decomposition sequence information obtained from the FMD decomposition covering different features, which is fed into the BiLSTM model to obtain the wind and light power predictions. The actual operation data of Sotavento Galicia (sg) wind farm in Spain and TuoZhuo photovoltaic farm in Yunnan, China are used. Compared with the two models, VMD-BiLSTM and BiLSTM, the validation results show that the wind and solar power prediction method based on the CoFMD-BiLSTM model can effectively improve the accuracy of wind and solar power prediction.

关键词： Photovoltaic systems Bidirectional long short term memory Predictive models Wind power generation Wind farms Feature extraction Prediction algorithms Data models Wind forecasting Forecasting

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Revoking amplitude and oscillation deaths by low-pass filter in coupled oscillators

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Physical Review E 2017年第6期95卷 062206-062206页

作者： Wei Zou Meng Zhan Jürgen Kurths Department of Physics Hong Kong Baptist University Kowloon Tong Hong Kong SAR People's Republic of China State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 People's Republic of China Potsdam Institute for Climate Impact Research Telegraphenberg Potsdam D-14415 Germany Institute of Physics Humboldt University Berlin Berlin D-12489 Germany Department of Control Theory Nizhny Novgorod State University Gagarin Avenue 23 606950 Nizhny Novgorod Russia

When in an ensemble of oscillatory units the interaction occurs through a diffusion-like manner, the intrinsic oscillations can be quenched through two structurally different scenarios: amplitude death (AD) and oscillation death (OD). Unveiling the underlying principles of stable rhythmic activity against AD and OD is a challenging issue of substantial practical significance. Here, by developing a low-pass filter (LPF) to track the output signals of the local system in the coupling, we show that it can revoke both AD and OD, and even the AD to OD transition, thereby giving rise to oscillations in coupled nonlinear oscillators under diverse death scenarios. The effectiveness of the local LPF is proven to be valid in an arbitrary network of coupled oscillators with distributed propagation delays. The constructive role of the local LPF in revoking deaths provides a potential dynamic mechanism of sustaining a reliable rhythmicity in real-world systems.

关键词： Coupled oscillators

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General Diagnosis of Transformer Winding Axial Displacement Faults Based on FEM Simulation and On-site Experiments

General Diagnosis of Transformer Winding Axial Displacement ...

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IEEE Electrical Insulation Conference

作者： Fei Lu Lei Jin Siwei Liu Yi Liu Hua Li Fuchang Lin State Grid Key Laboratory of On-site Test Technology on High Voltage Power Apparatus State Grid Hubei Electric Power Research Institute State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science & Technology

ISBN: (纸本)9781467387071

Structural faults detection of power transformers are quite significant, and general diagnosis based on different test and simulation methods is commonly used to detect mechanical and/or electrical faults in power transformers. In this paper, the diagnosis of the transformer winding axial displacement faults based on FEM simulation and on-site experiment is carried out and presented. Based on the FEM simulation, it is necessary to analyze the effect of the axial displacement faults on the change of the electrical parameters. The whole winding's or the single disk's axial displacement are under consideration, and different fault levels are taken into consideration in the simulation analysis to investigate the influence of axial displacement on the electrical parameters. Using the calculated parameters, a distributed model of the power transformer based on ATP/EMTP is present to study the performance of frequency response curve on the axial displacement with different fault levels. The operating states of several 110 kV power transformers are tracked, and a typical transformer after the short-circuit impact is tested. The FRA test results are obtained before and after the short-circuit impact. The simulation results and the on-site test results are compared, and they show a better consistency. It can be concluded that under the typical impact of the axial displacement, the frequency response curve starts an obvious variation from 150 kHz, and the resonances and anti-resonances are shifted to the high frequency direction. The overall fault detection results show that the proposed method can discriminate the winding axial displacement fault with the high hit ratio.

关键词： Power transformer Frequency response analysis Axial displacement Winding deformation Finite element method

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