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11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Xie, Wenhao Ji, Shiqi Zhao, Zhengming Mo, Xin Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering China Tsinghua Sichuan Energy Internet Research Institute China

ISBN: (纸本)9788957083505

Compared to Si IGBTs, SiC MOSFETs can reduce switching losses, achieve higher switching frequencies and enable smaller converter size. However, due to the high dv/dt of SiC MOSFETs, certain topologies, such as two SiC MOSFETs in a phase-leg configuration, are highly sensitive to crosstalk, which can slow down switching speed and even reduce gate oxide's lifetime. In this paper, an accurate model of crosstalk is established by considering the impacts of both dv/dt and di/dt in the power loop. The proposed model can simulate the gate-source voltage on bare die of SiC MOSFETs, allowing for a more accurate evaluation of the impact of crosstalk. Model verification is implemented using a double pulse test (DPT) platform and a gate driver with active miller clamp technology. key parameters of the model are extracted from both 3D simulation models and measurement experiments. The DPT waveform of power loop is used as the excitation source in the simulation, and the simulated gate-source waveform shows good agreement with the experimental waveform. Based on the model, parameter sensitivity analysis is performed, and suggestions for improving crosstalk suppression are proposed. © 2023 The Korean Institute of Power Electronics.

关键词： Crosstalk

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Day-Ahead Reporting Strategy of a Wind Power Plant Based on CEEMDAN-IPSO-LSTM

Day-Ahead Reporting Strategy of a Wind Power Plant Based on ...

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2023 IEEE International Conference on Power Science and Technology, ICPST 2023

作者： Lv, Dong Wang, Yuan Xu, Fei Zhang, Bing Wang, Hongye He, Li Zhu, Hui Li, Junhui Co. Ltd China Three Gorges Beijing China Tsinghua University State Key Laboratory of Power System and Power Generation Equipment Control and Simulation Beijing China

ISBN: (纸本)9798350311358

In the new power system, the output of new energy power stations has strong volatility, which leads to huge deviation assessment expenditure. Therefore, based on the improved data preprocessing algorithm and deep learning algorithm, a day-ahead reporting strategy of wind power plants considering error prediction characteristics is proposed. Firstly, considering the historical real output and prediction error, the historical data is decomposed based on the complete noise-assisted ensemble empirical mode decomposition algorithm (CEEMDAN). Then, the components are introduced into the long short-term memory (LSTM) optimized by the improved particle swarm optimization algorithm (IPSO), and the components are reconstructed to obtain the original prediction curve and the error prediction curve. Finally, the empirical distribution function is used to revise the prediction error curve, and the original prediction curve and the error prediction curve are superimposed to obtain the final day-ahead report curve. The correctness and feasibility of the reporting strategy are verified by simulation analysis. © 2023 IEEE.

关键词： Forecasting

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Flexible linear clock-based distributed self-triggered active power-sharing secondary control of AC microgrids

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Global Energy Interconnection 2024年第6期7卷 786-797页

作者： Yulin Chen Xing Huang Guangxin Zhi Shaohua Yang Hongxun Hui Donglian Qi Yunfeng Yan Fengkai Gao Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012P.R.China Hainan Institute Zhejiang UniversitySanya572000P.R.China College of Electrical Engineering Zhejiang UniversityHangzhou310027P.R.China State Key Laboratory of Internet of Things for Smart City University of MacaoMacao999078P.R.China

Traditional active power sharing in microgrids,achieved by the distributed average consensus,requires each controller to continuously trigger and communicate with each other,which is a wasteful use of the limited computation and communication resources of the secondary *** enhance the efficiency of secondary control,we developed a novel distributed self-triggered active power-sharing control strategy by introducing the signum function and a flexible linear *** continuous communication–based controllers,the proposed self-triggered distributed controller prompts distributed generators to perform control actions and share information with their neighbors only at specific time instants monitored by the linear ***,this approach results in a significant reduction in both the computation and communication ***,this design naturally avoids Zeno ***,a modified triggering condition was established to achieve further reductions in computation and *** simulation results confirmed that the proposed control scheme achieves distributed active power sharing with very few controller triggers,thereby substantially enhancing the efficacy of secondary control in MGs.

关键词： Active power sharing Distributed secondary control Self-triggered mechanism AC microgrid control efficiency

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Research on Comprehensive Assessment Method of Battery Consistency Based on Scaled Energy Storage Power Station 9

Research on Comprehensive Assessment Method of Battery Consi...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Kepaiyitulla, Tursun Li, Ming Zheng, Yunping Zong, Sijia Luo, Xingyan Wang, Shangxing Li, Xiangjun Xinjiang Key Laboratory of Whole Process Simulation for Power System State Grid Xinjiang Electric Power Research Institute Urumqi China State Key Laboratory of Operation Ad Control of Renewable Energy and Storage Systems China Electric Power Research Istitute Beijing100192 China

ISBN: (纸本)9798350309638

In the long-term operation of a megawatt-scale energy storage plant composed of series-parallel connections, the single batteries will have different degrees of inconsistency problems. To solve this problem, this paper proposes a comprehensive assessment method based on the consistency of batteries in scaled energy storage power stations. According to the consistency indexes such as single battery voltage and voltage polarity difference in series connection between modules, the consistency evaluation criterion of battery monomer was established. Based on the historical data of a battery energy storage system, the consistency evaluation criterion of a single battery is used to analyze the consistency of a single battery of an energy storage power station at different charging and discharging stages. The results show that this method can accurately assess cell consistency. It provides data support for the health status assessment of energy storage plants and reduces the systematic operational risk of energy storage plants. © 2024 IEEE.

关键词： Digital storage

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Transient Synchronization Stability Analysis of Grid-Following Converter Power systems Using Local Network Measurements 9th

Transient Synchronization Stability Analysis of Grid-Followi...

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9th Purple Mountain Form on Smart Grid Protection and control, PMF 2024

作者： Wei, Xiaoqiang Liu, Naiyuan He, Zhifeng Yang, Hao Sun, Zhenglong State Grid Heilongjiang Electric Power Company Limited Harbin150000 China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132000 China

ISBN: (纸本)9789819616701

There is an urgent need to address the transient synchronization stability (TSS) problem caused by the increasing penetration of renewable resources into the power network through grid-following converters (GFL-VSCs). It is challenging to analyze the TSS in power systems with high penetration of renewable resources due to the complex interaction between a large number of GFL-VSCs and power network. Although some research has been carried out on TSS assessment of GFL-VSC systems, its application is limited because measuring the numerous internal parameters of distributed converters is hard. To fill this gap, this paper proposes a TSS analysis method using local network measurements. The present study first constructs a port energy function for PLL-controlled converters, establishing the relationship between the internal control and the transient energy of the converter. Secondly, the branch energy function is constructed using the law of energy conservation. Due to transient energy interactions between the converters and the branches, the transient instability characteristics of the converters are mapped into the network. Transient instability characteristics are extracted through PMUs in the network. On this basis, the TSS of the GFL-VSC systems is analyzed through the identified critical branches. Finally, the effectiveness of the proposed method is validated through simulations on the modified IEEE 39-BUS system and a practical power system. © State Grid Electric Power 2025.

关键词： Transient stability

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A non-probabilistic reliability topology optimization method based on aggregation function and matrix multiplication considering buckling response constraints

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Applied Mathematics and Mechanics(English Edition) 2024年第2期45卷 321-336页

作者： Lei WANG Yingge LIU Juxi HU Weimin CHEN Bing HAN Institute of Solid Mechanics School of Aeronautic Science and EngineeringBeihang UniversityBeijing 100191China Aircraft and Propulsion Laboratory Ningbo Institute of TechnologyBeihang UniversityNingbo 315100Zhejiang ProvinceChina State Key Laboratory of Navigation and Safety Technology Shanghai Ship and Shipping Research InstituteShanghai 200135China National Engineering Research Center of Ship&Shipping Control System Shanghai Ship and Shipping Research InstituteShanghai 200135China

A non-probabilistic reliability topology optimization method is proposed based on the aggregation function and matrix *** expression of the geometric stiffness matrix is derived,the finite element linear buckling analysis is conducted,and the sensitivity solution of the linear buckling factor is *** a specific problem in linear buckling topology optimization,a Heaviside projection function based on the exponential smooth growth is developed to eliminate the gray *** aggregation function method is used to consider the high-order eigenvalues,so as to obtain continuous sensitivity information and refined structural *** cyclic matrix programming,a fast topology optimization method that can be used to efficiently obtain the unit assembly and sensitivity solution is *** maximize the buckling load,under the constraint of the given buckling load,two types of topological optimization columns are *** variable density method is used to achieve the topology optimization solution along with the moving asymptote optimization *** vertex method and the matching point method are used to carry out an uncertainty propagation analysis,and the non-probability reliability topology optimization method considering buckling responses is developed based on the transformation of non-probability reliability indices based on the characteristic ***,the differences in the structural topology optimization under different reliability degrees are illustrated by examples.

关键词： buckling topology optimization aggregation function uncertainty propagation analysis non-probabilistic reliability

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An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for Electrical Equipment Instance Segmentation

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Computers, Materials & Continua 2024年第1期78卷 677-694页

作者： Junpeng Wu Zhenpeng Liu Xingfan Jiang Xinguang Tao Ye Zhang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China Baishan Power Supply Company State Grid Jilin Electric Power CoLtd.Jilin134300China

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low *** of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation ***,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance *** results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 *** segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

关键词： Deep learning electrical equipment attention mechanism weighted loss function

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simulation of Arc Erosion on the Main Contact of On-Load Tap Changer 4th

Simulation of Arc Erosion on the Main Contact of On-Load Tap...

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4th International Symposium on Insulation and Discharge Computation for Power Equipment, IDCOMPU 2023

作者： Zhou, Yuanxiang Dai, Yasong Chen, Jianning Li, Yuhang Hou, Xuzhao Zhang, Zhen State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China The Wind Solar Storage Division of State Key Laboratory of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi830047 China

ISBN: (纸本)9789819974047

Long-term operation and switching of transformer on-load tap-changers can cause degradation and deterioration of the main contact material, even leading to contact arcing damage in severe cases. However, the arcing mechanism of the main contact during the switching has not been clarified yet. A magneto-hydrodynamic simulation method of main contact arcing has been proposed. The geometry of the main contact in transformer oil is simplified, and the simulation model of the arc temperature field of the main contact in transformer oil coupled with electric, magnetic, thermal and fluid fields is proposed. The dynamic evolution of the arc temperature has been investigated at peak currents of 2100 A, 1500 A, 600 A and 300 A, respectively. The results show that with the increase of the spacing between contacts, the temperature at arc core rises rapidly and then decreases slowly, and the temperature can reach 50177 K at 2100A. Due to the electron bombardment at the anode surface, the temperature at anode surface is higher than that at cathode surface under different chopped currents. The highest temperatures at anode and cathode surface can reach 4142.5 K and 4081.7 K respectively. © Beijing Paike Culture Commu. Co., Ltd 2024.

关键词： Deterioration

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ACBL:Attentive CNN-BiLSTM Model For Trajectory Prediction 43

ACBL:Attentive CNN-BiLSTM Model For Trajectory Prediction

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43rd Chinese control Conference, CCC 2024

作者： Yang, Gan Wang, Guangwei Li, Yichen Yu, Wenbin Shanghai Jiao Tong University Department of Automation Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Tianjin Navigation Instruments Research Institute Tianjin300131 China

ISBN: (纸本)9789887581581

Predicting the future trajectory of a target becomes particularly challenging while dealing with occlusion conditions, where current information is unavailable, and historical data becomes the only basis for prediction. In this paper, we propose a trajectory prediction model that utilizes scaled dot product attention mechanism, a convolution neural network, and a bidirectional long short term memory network. The scaled dot product attention mechanism gauges the impact of historical sequences, while the convolution neural network extracts intricate feature information from these sequences. Subsequently, these data is fed into the bidirectional long short term memory network to forecast the target's navigation path. Experimental results highlight that the Attentive CNN-BiLSTM (ACBL) network which we proposed has lower root mean square error (RMSE) by 23 % on average than current methods. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Convolutional neural networks

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Power Source Flexibility Margin Quantification Method for Multi-energy Power systems Based on Blind Number Theory

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CSEE Journal of Power and Energy systems 2023年第6期9卷 2321-2331页

作者： Bai Xiao Jialiang Wang Zhiwen Xiao Gangui Yan Ling Dong Maochun Wang Hongzhi Yang the Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China Chengde Power Supply Company State Grid Jibei Electric Power CompanyChengde 067000China State Grid Qinghai Electric Power Company Xining 810008China

The grid connection of a high proportion of re-newable energy generation increases the uncertainty in power ***,the flexibility margin of different energy sources needs to be quantified to cope with the uncertainty change and maintain the dynamic balance of power system *** this paper,first,the flexibility characteristics of source,net,load and power and load community(PLC)are *** dynamic equilibrium relationship among them is briefly ***,taking into full consideration the complex output characteristics of different energy sources and combining their respective flexibility characteristics,a quantitative model of the power source flexibility margin for thermal power,hydro-power,gas power and concentrating solar power is established.A quantitative model for a power source flexibility margin in PV and wind power based on blind number theory is ***,the calculation method of theoretical power generation capacity,which can reflect different characteristics of output power of various energy sources,is *** actual output power of each power source in each period is ***,a case study shows that the model and method can consider the operating characteristics of different types of power sources,and quickly and accurately quantify the adjustable range of flexibility margins of each power source at different periods of time,which can provide an important basis for evaluating the capacity of renewable energy consumption and the optimal operation of multi-energy power systems(MEPSs).

关键词： Load forecasting multi-energy power system power generation capacity power source flexibility margin

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