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A Special Issue:“Co-optimization and mechanism design of multimodal energy systems under carbon constraints”

Global Energy Interconnection 2025年第2期8卷 I0002-I0003页

作者： Lin Cheng Xiaojun Wan Department of Electrical Engineering Tsinghua University Planning and Design Research Center Energy Internet Research InstituteTsinghua University State Key Laboratory of Power System Operation and Control Tsinghua University School of Electrical Engineering Beijing Jiaotong University

Against the backdrop of active global responses to climate change and the accelerated green and low-carbon energy transition,the co-optimization and innovative mechanism design of multimodal energy systems have become a significant instrument for propelling the energy revolution and ensuring energy *** increasingly stringent carbon emission constraints,how to achieve multi-dimensional improvements in energy utilization efficiency,renewable energy accommodation levels,and system economics-through the intelligent coupling of diverse energy carriers such as electricity,heat,natural gas,and hydrogen,and the effective application of market-based instruments like carbon trading and demand response-constitutes a critical scientific and engineering challenge demanding urgent solutions.

关键词： multimodal energy systems renewable energy accommodation energy utilization efficiency co optimization carbon constraints climate change carbon emission constraintshow mechanism design

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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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Blockchain-assisted multi-authority searchable encryption scheme in cloud environment

Blockchain-assisted multi-authority searchable encryption sc...

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2024 International Conference on Image Processing and Artificial Intelligence, ICIPAl 2024

作者： Yin, Liang Duo, Zhilin Wang, Xuan Zhao, Xingwen Electric Power Research Institute of State Grid Ningxia Electric Power Co. Ltd. Ningxia750011 China Beijing Kedong Electric Power Control System Co. Ltd. Beijing100192 China School of Cyber Engineering Xidian University Xi'an710126 China

ISBN: (纸本)9781510681514

With the deep integration of new technology concepts such as big data, cloud storage, the Internet of Things with enterprise management, power grid infrastructure has also entered a period of rapid development, and the realization of safe and reliable data sharing has emerged as an urgent issue that requires resolution. Firstly, the existing attribute-based encryption schemes are mostly deployed in the cloud environment, and it could be challenging for users to achieve fine-grained access control to ciphertext while taking into account the search query function. Secondly, current attribute-based encryption schemes face the single-point bottleneck problem issue brought on by a single authority managing the whole attribute set, making it tough to guarantee data confidentiality and security. In view of the above situation, this paper designs a blockchain-assisted searchable attribute-based encryption scheme, which uses the consortium blockchain's consensus nodes to generate system parameters and user's key through (t, n) secret sharing, besides that, the user's access requests and operations are recorded on the blockchain, realizing the traceability of transactions. The system entirely conceals the access policy and ciphertext's keyword characteristics while also supporting fine-grained access control to users. The security analysis and performance evaluation on the proposed scheme demonstrate its reliability and system-level robustness. © 2024 SPIE.

关键词： Blockchain

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SiC MOSFET Crosstalk Modelling with Suppression Considering Impacts of dv/dt and di/dt 11

SiC MOSFET Crosstalk Modelling with Suppression Considering ...

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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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A novel two-stage Dissolved Gas Analysis fault diagnosis system based semi-supervised learning

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High Voltage 2022年第4期7卷 676-691页

作者： Xuemin Tan Chao Guo Ke Wang Fu Wan College of Control Engineering Chengdu University of Information TechnologyChengduChina State Grid Chengdu Power Supply Company ChengduChina China Electric Power Research Institute BeijingChina State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing UniversityChongqingChina

Dissolved Gas Analysis(DGA)is an important method for oil-immersed transformer fault ***,collecting labelled DGA data is difficult because the determi-nation of the transformer fault is time-consuming and expensive in the transformer substation,but DGA data without labels is easier to ***,the paper pro-posed a semi-supervised two-stage diagnostic system based DGA by using less labelled *** two-stage system includes a novel semi-supervised feature selection based Genetic Algorithm(GA)and Support Vector Machine(SVM)model(SSL-FS-GASVM)for selecting optimal features and a novel semi-supervised transformer fault diagnosis model based improved Artificial Fish Swarm Algorithm(AFSA)and SVM(SSL-IAFSA-SVM)for optimising the SVM ***,the performances of SSL-FS-GASVM and SSL-IAFSA-SVM models are tested and compared with traditional supervised diagnostic models combined with other optimisation methods,*** results show that the proposed two-stage system works in optimising features and parameters and has strong robustness in solving small sample classification problems.

关键词： fault diagnosis system

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Influence of new energy at the sending end on the calculation of single-end equivalent model of LCC-HVDC sending system 12

Influence of new energy at the sending end on the calculatio...

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12th International Conference on Renewable power Generation, RPG 2023

作者： He, Xiaocai Wang, Bin Dong, Xinzhou Zhang, Minglong Chao, Wujie Huang, Junwei Dai, Liyu National Key Laboratory of New Power System Operation and Control Department of Electrical Engineering Tsinghua University Beijing China State Grid Fujian Electric Power Co. Ltd. Electric Power Science Research Institute Fujian China

The short circuit current characteristics of LCC-HVDC transmission system are directly related to the action characteristics of AC protection at the inverter side. However, the single-end equivalent model of the existing LCC-HVDC transmission system regards the sending end as a pure traditional AC power supply, and the equivalent error is large when the sending end contains a high proportion of new energy. Based on the dynamic phasor equivalent calculation framework, this paper establishes a single-end equivalent model of the LCC-HVDC transmission system based on the AC information of the inverter side only, and analyzes the impact of different new energy proportion scenarios on the single-end equivalent error and the causes of the error. In this paper, simulation verification is carried out under the scenario of multiple new energy ratios at the sending end. The results show that the simulation error of the single-end equivalent model increases with the increase of the proportion of new energy, which reduces the credibility of the single-end equivalent calculation. © The Institution of engineering & Technology 2023.

关键词： Errors

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Review of Black Start on New power system Based on Energy Storage Technology

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Energy engineering 2023年第12期120卷 2857-2878页

作者： Jin Fan Litao Niu Cuiping Li Gang Zhang He Li Yiming Wang Junhui Li Qinglong Song Jiacheng Sun Jianglong Pan Fangfang Lai School of Electronic Engineering Xi’an University of Posts and TelecommunicationsXi’an710061China Power Plant Commissioning Department Xi’an Thermal Power Research Institute Co.Ltd.Xi’an710054China Key Laboratory of Modern Power System Simulation Control and Green Power New Technology of the Ministry of Education Northeast Electric Power UniversityJilin132012China Quality&Safety Department Huaneng Xiapu Nuclear Power Co.Ltd.Ningde352000China

With the continuous development of new energy generation technology and the increasingly complex power grid environment,the traditional black start scheme cannot meet the requirements of today’s power grid in order to ensure the stable operation of the power system can be restored quickly in the face of large power outages,so a more complete black start scheme needs to be developed to cope with the new power *** the development of energy storage technology,the limitations of the traditional black-start scheme can be solved by new energy farms with energy storage ***,this paper investigates the problems faced by black-start,the key technologies of energy storage assisted new energy black-start,and introduces the research related to new energy black-start technology to provide reference for future research and application of new energy black-start.

关键词： New energy black start energy storage rapid recovery

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Temperature fluctuations and heat transport in partitioned supergravitational thermal turbulence

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Acta Mechanica Sinica 2024年第6期40卷 20-30页

作者： Dongpu Wang Jing Liu Rushi Lai Chao Sun Beijing Key Laboratory of Space Thermal Control Technology Beijing Institute of Spacecraft System EngineeringBeijing100094China Center for Combustion Energy Key Laboratory for Thermal Science and Power Engineering of MoEand Department of Energy and Power EngineeringTsinghua UniversityBeijing100084China Department of Engineering Mechanics School ofAerospace EngineeringTsinghua UniversityBeijing100084China

We report an experimental study of the local temperature fluctuationsδT and heat transport in a partitioned supergravitational turbulent convection *** to the dynamics of zonal flow in the normal system without partition walls,the probability density function(PDF)at a position in the mixing zone exhibits a downward bending shape,suggesting that the multi-plume clustering effect plays an important *** partitioned system,zonal flow is suppressed and the PDFs indicate that the single-plume effect is ***,statistical analysis shows that the PDF ofδT is sensitive to ***,the thermal spectra follow P(f)∼f^(-5) in the normal system,which is relevant to the zonal *** absolute value of the scaling exponent of P(f)and the scaling range become small in the partitioned system,which provides another evidence for the influence of zonal flow on the energy ***,heat transfer enhancement is found in the partitioned system,which may result from zonal flow being restricted and then facilitating the radial movement of thermal plumes to the opposite conducting *** work may provide insights into the flow and heat transport control of some engineering and geophysical flows.

关键词： Partitioned turbulent convection Supergravity Probability density function power spectra Heat transfer

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Reviewing Fault Diagnosis Methods in Electric Drives: power Subsystem and Electrical Machine 24

Reviewing Fault Diagnosis Methods in Electric Drives: Power ...

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24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023

作者： Demidova, Galina Chen, Hao Li, Yibin Lukichev, Dmitry Anuchin, Alecksey Itmo University Faculty of Control System and Robotics Saint-Petersburg Russia School of Electrical and Power Engineering China University of Mining and Technology Xuzhou China Institute of Marine Science and Technology Shandong University Shandong China Moscow Power Engineering Institute Department of Electric Drives Moscow Russia

ISBN: (纸本)9798350336870

This paper provides a review of popular fault diagnosis methods in the power subsystem and electrical machine of electric drives. The review aims to explore the different approaches used to detect faults in these components and the most common types of faults encountered in electric drives. The paper first provides an overview of the power subsystem and electrical machine and their respective functions within the electric drive system. It then proceeds to discuss the different types of faults that can occur in these components, including overvoltage, undervoltage, overcurrent, and short circuits. The review evaluates the various fault diagnosis methods available for these components, including model-based, signal-based, and artificial intelligence-based approaches. Model-based approaches use mathematical models of the system to detect and diagnose faults. Signal-based approaches rely on the analysis of measured signals to detect changes in system behavior that indicate a fault. Artificial intelligence-based approaches use machine learning algorithms to identify patterns in data and detect faults. Model-based approaches are highly accurate but can be computationally intensive. Signal-based approaches are less computationally intensive but may be less accurate in certain situations. Artificial intelligence-based approaches are versatile but require significant amounts of data for training. This review provides a comprehensive overview of the current state-of-the-art in fault diagnosis methods for the power subsystem and electrical machine of electric drives. The review concludes by suggesting potential areas for future research to further improve the accuracy and efficiency of fault diagnosis methods for electric drives. © 2023 IEEE.

关键词： Failure analysis

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Image-denoising algorithm based on improved K-singular value decomposition and atom optimization

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CAAI Transactions on Intelligence Technology 2022年第1期7卷 117-127页

作者： Rui Chen Dong Pu Ying Tong Minghu Wu College of Information&Communication Engineering Nanjing Institute of TechnologyNanjingChina College of Electric Power Engineering Nanjing Institute of TechnologyNanjingChina Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System Hubei University of technologyWuhanChina

The traditional K-singular value decomposition(K-SVD)algorithm has poor imagedenoising performance under strong *** image-denoising algorithm is proposed based on improved K-SVD and dictionary atom ***,a correlation coefficient-matching criterion is used to obtain a sparser representation of the image *** dictionary noise atom is detected according to structural complexity and noise intensity and removed to optimize the ***,non-local regularity is incorporated into the denoising model to further improve image-denoising *** of the simulated dictionary recovery problem and application on a transmission line dataset show that the proposed algorithm improves the smoothness of homogeneous regions while retaining details such as texture and edge.

关键词： singular value smoothness

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