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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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Online Optimization in power systems With High Penetration of Renewable Generation:Advances and Prospects

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IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 839-858页

作者： Zhaojian Wang Wei Wei John Zhen Fu Pang Feng Liu Bo Yang Xinping Guan Shengwei Mei Key Laboratory of System Control and Information Processing Ministry of Education of ChinaDepartment of AutomationShanghai Jiao Tong UniversityShanghai 200240China State Key Laboratory of Power System and the Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Institute of High Performance Computing(IHPC) Agency for Science Technology and Research(A*STAR)Singapore 138632Singapore

Traditionally,offline optimization of power systems is acceptable due to the largely predictable loads and reliable *** increasing penetration of fluctuating renewable generation and internet-of-things devices allowing for fine-grained controllability of loads have led to the diminishing applicability of offline optimization in the power systems domain,and have redirected attention to online optimization ***,online optimization is a broad topic that can be applied in and motivated by different settings,operated on different time scales,and built on different theoretical *** paper reviews the various types of online optimization techniques used in the power systems domain and aims to make clear the distinction between the most common techniques *** particular,we introduce and compare four distinct techniques used covering the breadth of online optimization techniques used in the power systems domain,i.e.,optimization-guided dynamic control,feedback optimization for single-period problems,Lyapunov-based optimization,and online convex optimization techniques for multi-period ***,we recommend some potential future directions for online optimization in the power systems domain.

关键词： optimization Lyapunov optimization online convex optimization online optimization optimization-guided control

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Understanding a Type of Forced Oscillation in Grid-Forming and Grid-Following Inverter Connected systems

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IEEE Transactions on power Electronics 2025年第8期40卷 11628-11640页

作者： Chen, Song Wang, Yang Tian, Zhen Xiao, Xianyong Xie, Xiaorong Gomis-Bellmunt, Oriol Sichuan University College of Electrical Engineering Sichuan Chengdu610065 China Wuhan University School of Electrical Engineering and Automation Wuhan430070 China Tsinghua University State Key Laboratory of Power System Department of Electrical Engineering Beijing100084 China Technical University of Catalonia Electrical Engineering Department Barcelona08034 Spain

This paper investigates a novel oscillation phenomenon in systems with grid-forming (GFM) and grid-following (GFL) inverters. Unlike previous studies that primarily focus on small-signal stability, this work explores forced oscillations (FOs), where GFL inverters act as excitation sources, inducing oscillations in GFM inverters. Specifically, interharmonics generated by maximum power point tracking (MPPT) control trigger low-frequency oscillation modes in GFM inverters. To analyze this phenomenon, the paper first examines the power characteristics of the interharmonics injected by MPPT and leverages this understanding to develop a P-ω admittance model for GFM and GFL inverter connected systems. This model enables precise prediction of FO amplitudes and provides insights into the influence of factors such as the number of GFM inverters on oscillation behavior. To validate findings, hardware-in-the-loop experiments are performed to verify the observed behavior in a system consisting of photovoltaic farms with GFL control and battery energy storage systems with GFM control. Finally, merits and limitations of this work are explicitly highlighted to provide a balanced perspective. © 1986-2012 IEEE.

关键词： Hardware-in-the-loop simulation

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Detection of False Data Injection Attacks in Smart Grids via Nonlinear Interval Observer: A Review 7

Detection of False Data Injection Attacks in Smart Grids via...

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7th International Conference on Energy Conservation and Efficiency, ICECE 2024

作者： Ali, Kashif Rana, Zuraiz Haseeb, Rashid Niaz, Ashfaq Zahid, Muhammad Liang, Dingkang Shanxi Key Laboratory of Power System Operation and Control Taiyuan University of Technology Taiyuan China College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan China U.E. T. Lahore Department of Electrical Engineering Lahore Pakistan

ISBN: (纸本)9798350370898

Identify individual False Data Injection (FDI) attacks in different intelligent networks. FDI attacks can circumvent conventional means of identifying corrupt data and interfere with the health assessment process. The rise of FDI attacks has introduced significant security vulnerabilities to smart grids. To address these important issues, A technique for detecting FDI attacks in various SG systems have been proposed. The interval observer is designed to precisely predict the Temporal condition of the internal physical structure based on development of the physical properties of the smart grid system. A detection criterion has been proposed to activate an alert if the remaining interval fails to include zero, considering the inner state boundary and the outer interference boundary. A sensor isolation algorithm based on a logical matrix for assessing attack characteristics is additionally proposed for introducing FDI attacks into sub-areas. Finally, we hope this article complements a series of recent review articles and fosters further research in this rapidly evolving area. And discussed our opinions on remaining challenges and future research directions in this area. © 2024 IEEE.

关键词： Smart power grids

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Effect of ambient pressures on laser-induced breakdown spectroscopy signals

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Frontiers of physics 2024年第4期19卷 243-256页

作者： Kaifan Zhang Weiran Song Zongyu Hou Zhe Wang State Key Laboratory of Power System Operation and Control Tsinghua-Rio Tinto Joint Research Centre for ResourcesEnergy and Sustainable DevelopmentInternational Joint Laboratory on Low Carbon Clean Energy InnovationInstitute for Carbon NeutralityDepartment of Energy and Power EngineeringTsinghua UniversityBeijing 100084China Shanxi Research Institute for Clean Energy Tsinghua UniversityTaiyuan 030032China

Laser-induced breakdown spectroscopy(LIBS)is regarded as the future superstar for analytical chemistry and widely applied in various *** the quality of LIBS signal is fundamental to achieving accurate quantification and large-scale commercialization of *** propose control methods that improve LIBS signal quality,it is essential to have a comprehensive understanding of the influence of key parameters,such as ambient gas pressure,temperature,and sample temperature on LIBS *** date,extensive research has been carried ***,different researchers often yield significantly different experimental results for LIBS,preventing the formation of consistent *** greatly prevents the understanding of influencing laws of key parameters and the improvement of LIBS quantitative *** ambient gas pressure as an example,this paper compares the effects of ambient gas pressure under different optimization conditions,reveals the influence of spatiotemporal window caused by inherent characteristics of LIBS signal sources,i.e.,intense temporal changes and spatial non-uniformity of laser-induced plasmas,on the impact patterns of key *** the perspective of plasma spatiotemporal evolution,the paper elucidates the influence patterns of ambient gas pressure on LIBS signals,clarifying seemingly contradictory research results in the literature.

关键词： laser-induced breakdown spectroscopy spatiotemporal window pressure condition signal uncertainty plasma modulation

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Truncated Strategy Based Dynamic Network Pricing for Energy Storage

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Journal of Modern power systems and Clean Energy 2023年第2期11卷 544-552页

作者： Xiaohe Yan Hongcai Zhang Chenghong Gu Nian Liu Furong Li Yonghua Song State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University) BeijingChina State Key lab of Internet of Things for Smart City University of MacaoMacaoChina Department of Electronic and Electrical Engineering University of BathBathU.K.

With the increasing penetration of local renewable energy and flexible demand,the system demand is more unpredictable and causes network overloading,resulting in costly system *** the energy storage(ES)helps reduce the system peak power flow,the incentive for ES operation is not sufficient to reflect its value on the system investment deferral resulting from its *** paper designs a dynamic pricing signal for ES based on the truncated strategy under robust operation corresponding to the network charge ***,the operation strategy is designed for ES to reduce the total network investment cost considering the uncertainties of flexible load and renewable *** nodal uncertainties are converted into branch power flow uncertainties by the cumulant and Gram-Charlier expansion ***,a time of use(ToU)pricing scheme is designed to guide the ES operation reflecting its impact on network investment based on the longrun investment cost(LRIC)pricing *** proposed To U LRIC method allocates the investment costs averagely to network users over the potential curtailment periods,which connects the ES operation with network *** curtailment amount and the distribution of power flow are assessed by the truncated strategy considering the impact of *** demonstrated in a Grid Supply Point(GSP)distribution network in the UK,the network charges at the peak time reduce more than 20%with ES *** proposed method is cost-reflective and ensures the fairness and efficiency of the pricing signal for ES.

关键词： Energy storage network investment renewable energy robust optimization uncertainty

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Effect of Carbon Black Contents on Polypropylene-based Semi-conductive Shielding Materials for power Cables

Effect of Carbon Black Contents on Polypropylene-based Semi-...

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Tsinghua University-IET electrical engineering Academic Forum 2024

作者： Tong, Cheng Zhang, Xiyu Huang, Shangshi Qin, Si Yao, Chi Liang, Yong Li, Qi He, Jinliang Zhao, Yonggui Xu, Jianjian School of Electrical Engineering Guangxi University Guangxi Nanning China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing China HJ Polymer China Co. Ltd Jiangsu Jiangyin China State Grid Linyi Power Company Shandong Linyi China

ISBN: (纸本)9781837242672

Polypropylene-based semi-conductive shielding materials have emerged as significant areas of research in recent years. This paper has investigated the influence of carbon black contents on the properties of semi-conductive composites. Four specimens have been prepared that impact-resistant polypropylene as the matrix and conductive carbon black as the filler with varying carbon black mass fractions (10%, 20%, 30%, and 40%). The properties of semi-conductive composites have been evaluated including thermal, microstructural, mechanical, and electrical. The findings indicate that carbon black contents significantly influence the mechanical and electrical properties, while its effect on thermal properties are less pronounced. Overall, the semi-conductive composites exhibit optimal properties when the carbon black mass fraction is 30%. © The Institution of engineering & Technology 2024.

关键词： Cable shielding

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A Battery Model Parameter Identification Method Considering Topology Reconfiguration 20

A Battery Model Parameter Identification Method Considering ...

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20th International Conference on AC and DC power Transmission 2024, ACDC 2024

作者： Chen, Aizuo Quan, Yue Zhou, Yanglin Lei, Ertao Zhang, Junkun Ci, Song Department of Electrical Engineering Tsinghua University Beijing100084 China Electric Power Research Institute of Guangdong Power Grid Co. Ltd. Guangdong 510080 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China

ISBN: (纸本)9781837242672

In the field of battery circuit model parameter estimation, the combination of bilinear transformation with the least squares method has garnered widespread attention due to its excellent performance under continuous current conditions. However, in dynamic reconfigurable battery network (DRBN), the network's topological structure is constantly changing, and the battery current consists of non-periodic pulse signal sequences, making it challenging for traditional methods to accurately estimate the battery model parameters within such networks. To address this issue, this paper proposes a lithium-ion battery circuit model parameter estimation method that takes into account network topology reconfiguration. This method, based on the operational modes and sampling methods of DRBN, derives a new discrete transformation formula for the transfer function and constructs a least squares model parameter identification model using this formula. By establishing an experimental platform for DRBN, the effectiveness of the proposed method is validated in this paper. © The Institution of engineering & Technology 2024.

关键词： Network topology

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Particle Swarm Optimization for PSS Parameters and Application to DIgSILENT powerFactory 6

Particle Swarm Optimization for PSS Parameters and Applicati...

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6th International Conference on Energy, electrical and power engineering, CEEPE 2023

作者： Liu, Yonghan He, Jing Wang, Peng Zhao, Haoran School of Electrical Engineering Shandong University Jinan China China Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy & Storage System Beijing China

ISBN: (纸本)9798350348279

The power grid becomes complex, low-frequency oscillations occur more frequently, posing significant challenges to power systems' safe and stable operation. power system stabilizers are commonly used to enhance system stability by improving damping and suppressing low-frequency oscillations. However, optimizing PSS parameters is a challenging task that typically requires extensive analysis or on-site experimentation. To address this challenge, this study proposes an efficient parameter optimization method for PSSs using the DIgSILENT powerFactory software and the particle swarm optimization algorithm. The proposed method is validated on a 39-node system, and the results show that the proposed method improves system damping and enhances stability. This method offers an easy-to-implement solution for engineers seeking to optimize PSS parameters in power systems. © 2023 IEEE.

关键词： system stability

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An Efficient Stability Criterion for Near-Fundamental-Frequency Oscillation Risk Assessment of Wind power Integrated systems via MMC-HVDC 19th

An Efficient Stability Criterion for Near-Fundamental-Freque...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Wu, Linlin Dong, Wenkai Ren, Yina Wang, Xiao Xie, Xiaorong State Grid Jibei Electric Power Co. Ltd. Research Institute North China Electric Power Research Institute Co. Ltd. Beijing100045 China State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9789819613823

Recently, near-fundamental-frequency oscillations (NFFOs) have been observed in practical wind power integrated systems via MMC-HVDC (WISM). However, a practical WISM is often high-order, causing the oscillation risk assessment to be computationally heavy. Therefore, in this paper, an efficient stability criterion is proposed, which gives the critical stability conditions considering the impact of number of generators and network topology. Then NFFO risk of a WISM under different numbers of generators and network topologies can be quickly judged. The stability criterion can be obtained via the Nyquist-based stability analysis on a single generator integrated system via MMC-HVDC and hence is simple in application. In addition, derivations of the stability criterion also give an analytical explanation to the NFFO risk induced by the integration of wind power. Finally, effectiveness of the proposed method and conclusions drawn is verified based on a typical WISM. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Topology

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