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International Conference on power Electronics and Motion control (IPEMC)

作者： Bowen Su Kai Sun Min Yang Yunhao Xiao Kai Zhang Bo Liu Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

Magnetic components play an important role in power electronic equipment, but there is still lack of accurate magnetic core loss estimation model. The data-driven methods are well-developed in recent years, and they are also more robust and accurate than conventional model-driven methods like Steinmetz Equation (SE) and improved Generalized Steinmetz Equation (iGSE). However, existing data-driven methods often focus on single excitation waveform like sinusoidal excitation waveform, which is not robust enough when facing complex excitation waveform with many high-frequency harmonic waveform. This paper presents a data-driven model based on attention mechanism which can capture the inner relationship within the input excitation waveform to present a more accurate core loss estimation results. And the comparison results with Multi-layer Perceptron (MLP) and Long Short-Term Memory(LSTM) models indicates that the proposed model has much more accuracy when facing complex excitation waveform. The proposed model can help to design magnetic components.

关键词： Analytical models Accuracy Computational modeling Magnetic cores Core loss Estimation Process control

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Conditional Adversarial Domain Adaption based on Self-attention

Journal of Network Intelligence

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Journal of Network Intelligence 2022年第1期7卷 175-188页

作者： Zhao, Li-Quan Zhang, Yu-Peng Teng, Zi-Ming Jiang, Zi-Cong Cui, Ying Kan, Zhong-Feng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China College of information and communication Jilin University Changchun130012 China Graduate school of Information Science and Electrical Engineering Kyushu University Fukuoka819-0395 Japan Zhuhai Power Supply Bureau Guangdong Electric Power Corporation Zhuhai519000 China Jilin Power Supply Bureau Jilin Electric Power Corporation Jilin132012 China

Transfer learning is a deep learning method. It transforms knowledge in the source domain and feeds it to the target domain to improve the performance of the target domain model. The conditional adversarial domain adaption method is one of a number of transfer learning methods. It uses Resnet as the feature extraction network;however, Resnet can only determine the relationship between local features, and so its feature extraction accuracy is limited. To overcome this problem, a self-attention layer has been designed in order to determine the relationship among all features. This layer is added between the fourth layer and fifth layer of Resnet. Besides, a cross-entropy function is introduced into loss function, and a sigmoid layer is designed and used as the out layer in conditional adversarial domain adaption. These produce gradient disappearance in the deep network, and influence the discriminator training effect. To solve that problem, a least squares function is used as to design the loss function. The new type of loss function does not require the sigmoid function. Using theoretical analysis, we explain how this new loss function can be used to solve the gradient disappearance problem, thus rendering the network structure more stable. We compare our proposed method with other datasets, including Joint Adaptation Networks, adversarial domain adaptation, conditional adversarial domain adaption, Resnet-50, domain-adversarial neural network on imageCLEF-DA, Office-Home, and Office-31. Our simulation results show that the proposed conditional adversarial domain adaption based on self-attention method has the fastest convergence speed and highest accuracy the among different datasets. © 2022, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Computer vision

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A Simple Open-loop Soft Startup Method Based on Operation Mode Analysis for LCC Converters Used in High-voltage DC power Supply

A Simple Open-loop Soft Startup Method Based on Operation Mo...

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International Conference on power Electronics and Motion control (IPEMC)

作者： Kai Zhang Hanyu Liu Kai Sun Department of Electrical Engineering State Key Laboratory of Power System Operation and Control Tsinghua University

ISBN: (数字)9798350351330

ISBN: (纸本)9798350351347

LCC converters incorporate the stray parameters of high frequency transformer and are commonly employed as the initial stage of high-voltage DC power supplies, enhancing both efficiency and power density. However, the significant overshoot that occurs during the startup phase of high-voltage DC power supply poses considerable difficulties for the circuit. In this article, a simple open-loop soft startup control method is proposed: First, the operation mode analysis method is used to accurately solve the time-domain model of the LCC converter under different duty cycles in continuous current mode (CCM). Second, an open-loop variable duty cycle soft startup control strategy from the energy transmitted view is derived. Finally, soft startup process corresponding to different startup time requirements are verified on a 200V/20kV experimental prototype.

关键词： Analytical models power system measurements power supplies Prototypes High-voltage techniques power electronics High-frequency transformers

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A Fuzzy Hierarchical Strategy for Improving Frequency Regulation of Battery Energy Storage system

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Journal of Modern power systems and Clean Energy 2021年第4期9卷 689-698页

作者： Kaifeng Wang Ying Qiao Lirong Xie Jiaming Li Zongxiang Lu Huan Yang School of Electrical Engineering Xinjiang UniversityUrumqiChina State Key Laboratory of Control and Simulation of Power Systems Generation Equipments of Electrical Engineering Tsinghua UniversityBeijingChina

Battery energy storage systems(BESSs)can provide instantaneous support for frequency regulation(FR)because of their fast response ***,purely pursuing a better FR effect calls for continually rapid cycles of BESSs,which shortens their lifetime and deteriorates the operational *** coordinate the lifespan savings and the FR effect,this paper presents a control strategy for the FR of BESSs based on fuzzy logic and hierarchical *** fuzzy logic controller improves the effect of FR by adjusting the charging/discharging power of the BESS with a higher response speed and precision based on the area control error(ACE)signal and the change rate of ACE in a non-linear *** controllers effectively reduce the life loss by optimizing the depth of discharge,which ensures that the state of charge(SOC)of BESS is always in the optimal operating range,and the total FR cost is the lowest at this *** proposed method can achieve the optimal balance between ACE reduction and operational economy of *** effectiveness of the proposed strategy is verified in a two-area power system.

关键词： Battery energy storage system(BESS) frequency regulation(FR) coordinated control strategy optimal depth of discharge charging/discharging threshold

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A Short-Term power Prediction Method for Wind Farm Cluster Based on Time Dynamic Graph Network and Improved Transformer Model

A Short-Term Power Prediction Method for Wind Farm Cluster B...

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2025 International Russian Smart Industry Conference, SmartIndustryCon 2025

作者： Han, Chao Chen, Zihang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin132012 China Jiangmen Power Supply Bureau Guangdong Power Grid Co. Ltd Jiangmen529020 China

ISBN: (纸本)9798331511241

In recent years, wind power has gradually replaced thermal power as the main source of new energy generation. Wind power prediction in advance can help formulate scheduling strategies and improve the stability of the power system. With the advent of the Industry 4.0 and the widespread application of artificial intelligence technology, artificial algorithms have been extensively used in the field of wind power prediction. To further explore the spatiotemporal correlation of every wind farm in the wind farm cluster, a temporal dynamic graph network is used to divide the wind farm farm into several sub-clusters. Then, the KAN-BiLSTM-Transformer algorithm is used to predict wind power of each wind sub-cluster. Finally, the wind power of each sub-cluster is added to attain the final predicted power of the wind farm cluster. After verification, the RMSE and MAE of the proposed method is 0.06849 and 0.05805 respectively, with an accuracy of 93.15%, which is superior to the compared algorithms. Proposed method can provide more accurate prediction results. © 2025 IEEE.

关键词： Farms

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Fault Diagnosis Method for DC Distribution Networks Based on Semitensor Product Bayesian Networks

Fault Diagnosis Method for DC Distribution Networks Based on...

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International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA)

作者： He Wang Shiqiang Li Huanan Yu Jing Bian Bo Wei Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China

As distributed generators and new loads spread, grid operations have grown more complex, transitioning from AC to hybrid AC/DC and pure DC distribution grids [1] .

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Experimental and numerical studies on buckling and post-buckling behavior of T-stiffened variable stiffness panels

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Chinese Journal of Aeronautics 2024年第10期37卷 459-470页

作者： Yan HUANG Yahui ZHANG Bin KONG Jiefei GU Zhe WANG Puhui CHEN State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and AstronauticsNanjing 210016China AVIC Aviation Power Control System Research Institute Wuxi 214063China Chengdu Aircraft Design and Research Institute Aviation Industry Corporation of ChinaChengdu 610091China School of Mechanical Engineering Jiangnan UniversityWuxi 214122China School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China China National Key Laboratory of Strength and Structural Integrity Aircraft Strength Research Institute of ChinaXi’an 710065China

Currently,experimental research on variable stiffness design mainly focuses on *** ensure adaptability in practical application,it is imperative to conduct a systematic study on stiffened variable stiffness structures,including design,manufacture,experiment,and *** on the minimum curvature radius and process schemes,two types of T-stiffened panels were designed and *** compression tests have been carried out and the results indicate that the buckling load of variable stiffness specimens is increased by 26.0%,while the failure load is decreased by 19.6%.The influence mechanism of variable stiffness design on the buckling and failure behavior of T-stiffened panels was explicated by numerical *** primary reason for the reduced strength is the significantly increased load bearing ratio of *** experimental investigations of stiffened variable stiffness structures are very rare,this study can be considered a reference for future work.

关键词： Variable stiffness composite Buckling Post-buckling Finite element method Stiffened panels

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The Function Mechanism of Virtual Impedance in Grid-forming Droop control and An Adaptive Parameter Tuning Method for Virtual Impedance Based on Network Equivalent Identification

The Function Mechanism of Virtual Impedance in Grid-forming ...

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power Science and Technology (ICPST), IEEE International Conference on

作者： Chenhui Fan Xiaohui Qin Lei Qi Hongzhi Liu Baodi Ding Zhengji Meng State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Carbon Neutrality Research Center of Power System China Electric Power Research Institute Beijing China Hebei Key Laboratory of Energy Internet Simulation Modeling and Control State Grid Hebei Electric Power Research Institute China

ISBN: (数字)9798350349030

ISBN: (纸本)9798350349047

The penetration rate of renewable energy and other power electronic sources in the system continues to increase, the strength of the power grid is weakened, and the system security is challenged. Some converters urgently need to adopt grid-forming control, for example, the droop control. However, due to the different impedance characteristics of the power system environment and the varying electrical distances between the grid source and load, the grid-forming converter cannot adapt to traditional droop control in multi-point parallel operation, this condition can be improved by adding virtual impedance. This paper first derives the main function mechanism of virtual impedance taking droop control as an example, and proposes a virtual impedance adaptive parameter tuning method based on network equivalent identification, then verifies the method through MATLAB/Simulink simulation. The proposal of this method is of great significance for reflecting the operational status of the system, improving the adaptability of renewable energy equipment and stations, and enhancing their fault ride-through ability. It also has important value for improving other grid-forming technologies.

关键词： Renewable energy sources Adaptive systems power system stability Stability analysis Impedance Security Proposals

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Fault Location Method for Dc Distribution Network Based on Compressed Sensing Group Sparse Representation

SSRN

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SSRN 2024年

作者： Wang, He Liu, Yiqi Li, Shiqiang Yu, Huanan Bian, Jing Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Ministry of Education Jilin Province Jilin132012 China

The common faults in a direct current (DC) distribution network consist of pole-to-pole faults and pole-to-ground faults. Under conditions of sparse configuration of measurement devices, existing fault location methods are unable to simultaneously locate pole-to-ground faults and pole-to-pole faults, and issues such as indistinct fault characteristics under the influence of transition resistance and noise are encountered. In response to these challenges, a fault location method for DC distribution networks is proposed based on compressed sensing group sparse representation. Firstly, the pole-to-mode transformation is utilized to convert the positive and negative pole electrical quantities of the DC distribution network into zero-mode and one-mode electrical quantities. Equivalent circuits for pole-to-ground faults and pole-to-pole faults are established separately, enhancing the fault characteristics corresponding to the two different short circuit faults. Secondly, the obtained impedance matrices for zero-mode and one-mode are constructed into a group sparse dictionary. By utilizing compressed sensing group sparse representation, the sparse current vector of high-frequency mode quantities is obtained, enabling the correct identification of fault types and accurate location of fault sections. Finally, a simulation model of the DC distribution network is built on the PSCAD platform to validate the effectiveness of the proposed fault location method. © 2024, The Authors. All rights reserved.

关键词： Electric power distribution

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Over-voltage Analysis of High Penetration PV Integration to Distribution Network Considering Whole-County-PV Development 2

Over-voltage Analysis of High Penetration PV Integration to ...

引用

2nd International Conference on Electronic Materials and Information Engineering, EMIE 2022

作者： Han, Zhaoyang Zhao, Qianyu Wang, Shouxiang Dong, Yichao Mu, Hao Ministry of Education Nankai District Tianjin300072 China Tianjin Key Laboratory of Power System Simulation Control Nankai District Tianjin300072 China State Grid Tianjin Electric Power Company Hebei District Tianjin300000 China

ISBN: (纸本)9781713865629

The whole county photovoltaic (PV) development will have an impact on the voltage level of the distribution network due to high penetration of PVs. Firstly, the mechanism of distributed PV to raise voltage level is explored. Then, based on Monte Carlo simulation, the analysis method of the influence of PV configuration uncertainty on voltage is proposed. Finally, the back/forward power flow calculation is adopted, taking a 10kV 88-node feeder in Jiangsu as an example. The voltage level under the current condition, the voltage level after adding planned PV capacity and the maximum PV hosting capacity are calculated and analyzed, which provides reference for the promotion of whole-county-PV development in China. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Electric power distribution

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