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New mechanistic insights into CO_(2) electroreduction to methane on penta-octa-graphene catalyst

Journal of Energy Chemistry 2024年第12期99卷 529-540页

作者： Yirong Ma Jinbo Hao Baonan Jia Xinhui Zhang Chunling Zhang Ge Wu Changcheng Chen Yuanzi Li Zhiyuan Zhou Qiyu Li Pengfei Lu School of Science Xi'an University of Architecture and TechnologyXi'an 710055ShanxiChina School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China School of Integrated Circuits Beijing University of Posts and TelecommunicationsBeijing 100876China

Electrocatalytic reduction of CO_(2) to produce high value-added products is an important way to achieve sustainable production of green energy,but it is limited by high complexity of the catalyst structure and reaction process,making the rational design of the catalyst and the targeted generation of specific products a huge ***,based on the penta-octa-graphene(POG)with sp~2 and sp~3 hybrid as the prototype,we theoretically guide the design of CO_(2) electrocatalytic reduction(CO_(2)RR)catalyst over pure POG and TM doping POG(TM@POG).Our mechanistic study highlights two key factors in new pathway for CH_(4) production and catalytic performance,i.e.,TM provides electron transfer for the key intermediate*CHO,promoting the activation of CO_(2),and the type of protonation for CO_(2)RR is determined by the charge accumulation on the O atom of the *** reduces the complexity of the reaction and provides a predictive effect on the formation of *** importantly,the proper values of the Gibbs free energy indicate that TM@POG is an ideal catalyst candidate,especially the Fe@POG,which is superior to Cu(211)*** this basis,three simple descriptors(Bader charge,d-band centerε_dand descriptorφ)based on the inherent properties of atoms were constructed to reveal the underlying causes of the improvement of catalytic *** results provide a new understanding of the’structure-performance’relationship of carbon-based electrocatalysts,thus providing a useful strategy for the design of catalysts for CO_(2)RR.

关键词： Penta-octa-graphene Carbon dioxide reduction Catalytic descriptor First-principles calculation

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Optimal Day-ahead Dynamic Pricing of Grid-connected Residential Renewable Energy Resources Under Different Metering Mechanisms

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 168-178页

作者： Kimia Parandeh Abed Bagheri Shahram Jadid Center of Excellence for Power System Automation and Operation School of Electrical EngineeringIran University of Science and Technology(IUST)TehranIran

Nowadays,grid-connected renewable energy resources have widespread applications in the electricity ***,providing household consumers with photovoltaic(PV)systems requires bilateral interfaces to exchange energy and *** addition,residential consumers’contribution requires guaranteed privacy and secured data *** dynamic pricing is one of the incentive-based demand response methods that has substantial effects on the integration of renewable energy resources with smart grids and social *** metering mechanisms of renewable energy resources such as feed-in tariffs,net metering,and net purchase and sale are important issues in power grid operation *** this paper,optimal condition decomposition method is used for dayahead dynamic pricing of grid-connected residential renewable energy resources under different metering mechanisms:feed-intariffs,net metering,and net purchase and sale in conjunction with carbon emission *** to the stochastic nature of consumers’load and PV system products,uncertainties are considered in a two-stage decision-making *** results demonstrate that the net metering with the satisfaction average of 68%for consumers and 32%for the investigated electric company leads to 28%total load *** the case of net purchase and sale mechanism,a satisfaction average of 15%for consumers and 85%for the electric company results in 11%total load *** feed-in-tariff mechanism,in spite of increased social welfare,load reduction does not take place.

关键词： Dynamic pricing renewable energy resources feed-in-tariffs net metering net purchase and sale stochastic decision-making

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Artificial Noise-Aided Max-Min Fairness Secrecy Precoding With Partial Wiretap Channel Knowledge

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IEEE Transactions on Vehicular technology 2025年第5期74卷 8390-8395页

作者： Kim, Sungyu Choi, Eunsung Oh, Mintaek Choi, Jinseok Korea Advanced Institute of Science and Technology School of Electrical Engineering Daejeon34141 Korea Republic of

We propose an artificial noise (AN)-aided max-min fairness (MMF) secure precoding algorithm. The algorithm jointly optimizes precoders and AN covariance matrix without alternation for a multiuser multiple-input multiple-output system with multiple colluding eavesdroppers. The formulated AN-aided MMF problem involves several challenges such as non-convexity, non-smoothness, coupled optimization variables, and partial wiretap channel state information at a transmitter (CSIT). To address the challenges, we first consider the perfect wiretap CSIT and approximate the reformulated problem as a smooth problem. Then, we derive the first-order optimality condition and interpret it as a nonlinear eigenvalue problem. Finally, we adopt a power iteration method to solve the condition. To extend the algorithm to the partial wiretap CSIT scenario, we reformulate the problem with an average wiretap rate by deriving an approximate lower bound of the rate. This enables us to exploit the partial channel knowledge. Subsequently, we propose the algorithm for the partial wiretap CSIT. Simulations validate the proposed methods. © 1967-2012 IEEE.

关键词： Covariance matrix

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Data-Driven Event-Triggered Control for Discrete-Time Neural Networks Subject to Actuator Saturation

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第4期6卷 1003-1013页

作者： Ni, Yanyan Wang, Zhen Huang, Xia Shen, Hao Shandong University of Science and Technology College of Mathematics and Systems Science Qingdao266590 China Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China Anhui University of Technology School of Electrical and Information Engineering Maanshan243002 China

In this article, the data-driven event-triggered control is addressed for unknown discrete-time neural networks (DTNNs) under actuator saturation and external perturbation. The research problem is raised due to the following two reasons: 1) a practical system is often affected by external perturbations and it is costly to acquire an accurate system model;2) the network bandwidth and the control inputs are always constrained due to physical hardware. To handle the above issues, the methodology is to first establish a model-based stability condition under the designed saturated event-triggered controller and then to transform the model-based stability condition into a data-based stability condition relying only on the perturbation-corrupted data via the extended S-lemma. The key results are: 1) a data-based DTNNs system representation is presented by collecting perturbation-corrupted state-input data. Then, a data-based stability criterion is derived and the saturated event-triggered controller is designed without an explicit system model;2) an optimization method is presented that can maximize the estimation of attractor (EoA) and minimize the estimated domain of attraction (DoA) simultaneously. Finally, the effectiveness of the proposed approach is illustrated and some quantitative analyses are offered by two numerical examples. © 2024 IEEE.

关键词： Stability criteria

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A NEW PART-ORIENTED TEST EQUIPMENT FOR EVALUATING THE MECHANICAL CHARACTERISTICS OF COPPER ALLOY SPRING MATERIALS 14

A NEW PART-ORIENTED TEST EQUIPMENT FOR EVALUATING THE MECHAN...

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14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2024

作者： Sun, Lizhi Zhang, Chao Han, Yicheng Ren, Wanbin School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9781837242672

Copper alloy spring materials are widely used in electromechanical components for carrying mechanical load and current load. The mechanical characteristics of such materials are closely related to the reliability and serviceability of components used in harsh environment. In this paper, a new automated test equipment for evaluating the mechanical characteristics of real part within the component is developed. The stress relaxation test and mechanical fatigue test could be carried out individually. Furthermore, the effects of temperature and mechanical load on the degradation behavior was demonstrated, without the need for a whole component level testing. © The Institution of engineering & technology 2024.

关键词： Copper alloys

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Analysis and Design of Nonisolated Inverting DC–DC Converter for Multiport Output Applications

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7811-7822页

作者： Li, Yiliang Wang, Yijie Guan, Yueshi Zhu, Junjie Xu, Dianguo Harbin Institute of Technology School of Electrical Engineering and Automation Harbin150000 China Zhongxing Telecom Equipment Shenzhen518000 China

This study presents a hybrid multiport dc-dc converter (MPC) that enables a single negative voltage input and multiple positive voltage outputs, providing power to vehicle electronic devices with different voltage levels. The circuit uses multiple sets of switches in a shared configuration, featuring a simple circuit structure, fewer switches, and smaller inductors. This article categorizes the operating modes and introduces the working principle of the stable operating mode. Through linear piecewise time-domain analysis, the circuit characteristics such as output power, current stress, and soft-switching range are analyzed in detail. For both single-branch and multibranch modes, this work proposes corresponding optimized modulation strategies, which can reduce inductor current stress and expand the soft-switching range. In the experimental section, this work built a two-branch, four-port experimental prototype and conducted experimental tests under wide gain range and multiport output conditions. The experimental results validate the feasibility of the theoretical analysis. © 2015 IEEE.

关键词： DC-DC converters

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Transforming the electrical grid: the role of AI in advancing smart, sustainable, and secure energy systems

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Energy Informatics 2025年第1期8卷 1-43页

作者： Rajaperumal, T.A. Columbus, C. Christopher School of Electrical Engineering Vellore Institute of Technology Tamil Nadu Chennai India School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Chennai India

The evolution of the electrical grid from its early centralized structure to today’s advanced "smart grid" reflects significant technological progress. Early grids, designed for simple power delivery from large plants to consumers, faced challenges in efficiency, reliability, and scalability. Over time, the grid has transformed into a decentralized network driven by innovative technologies, particularly artificial intelligence (AI). AI has become instrumental in enhancing efficiency, security, and resilience by enabling real-time data analysis, predictive maintenance, demand-response optimization, and automated fault detection, thereby improving overall operational efficiency. This paper examines the evolution of the electrical grid, tracing its transition from early limitations to the methodologies adopted in present smart grids for addressing those challenges. Current smart grids leverage AI to optimize energy management, predict faults, and seamlessly integrate electric vehicles (EVs), reducing transmission losses and improving performance. However, these advancements are not without limitations. Present grids remain vulnerable to cyberattacks, necessitating the adoption of more robust methodologies and advanced technologies for future grids. Looking forward, emerging technologies such as Digital Twin (DT) models, the Internet of Energy (IoE), and decentralized grid management are set to redefine grid architectures. These advanced technologies enable real-time simulations, adaptive control, and enhanced human–machine collaboration, supporting dynamic energy distribution and proactive risk management. Integrating AI with advanced energy storage, renewable resources, and adaptive access control mechanisms will ensure future grids are resilient, sustainable, and responsive to growing energy demands. This study emphasizes AI’s transformative role in addressing the challenges of the early grid, enhancing the capabilities of the present smart grid, and shaping a secure

关键词： Risk management

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Evaluating transient behaviour of large-scale photovoltaic systems during lightning events using enhanced finite difference time domain method with variable cell size approach

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High Voltage 2024年第3期9卷 636-647页

作者： Ibrahim Hetita Diaa-Eldin A.Mansour Yang Han Ping Yang Congling Wang Mohamed M.F.Darwish Matti Lehtonen Amr S.Zalhaf School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China(UESTC)ChengduChina Electrical Power and Machines Engineering Department Faculty of EngineeringHelwan UniversityCairoEgypt Electrical Power and Machines Engineering Department Faculty of EngineeringTanta UniversityTantaEgypt Department of Electrical Power Engineering Faculty of EngineeringEgypt-Japan University of Science and TechnologyAlexandriaEgypt Department of Electrical Engineering Faculty of Engineering at ShoubraBenha UniversityCairoEgypt Department of Electrical Engineering and Automation School of Electrical EngineeringAalto UniversityEspooFinland

Photovoltaic(PV)arrays are usually installed in open areas;hence,they are vulnerable to lightning strikes that can result in cell degradation,complete damage,service disruption,and increased maintenance *** a result,it is imperative to develop an effective and efficient lightning protection system by evaluating the transient behaviour of PV arrays during lightning *** aim is to evaluate the transient analysis of large-scale PV systems when subjected to lightning strikes using the finite difference time domain(FDTD)*** overvoltages are calculated at various points within the mounting *** optimise the FDTD method's execution time and make it more suitable for less powerful hardware,a variable cell size approach is ***,larger cell dimensions are used in the earthing system and smaller cell dimensions are used in the mounting *** FDTD method is utilised to calculate the temporal variation of transient overvoltages for large-scale PV systems under different scenarios,including variations in the striking point,soil resistivity,and the presence of a metal *** results indicate that the highest transient overvoltages occur at the striking point,and these values increase with the presence of a PV metal frame as well as with higher soil ***,a comparison is performed between the overvoltage results obtained from the FDTD approach and the partial element equivalent circuit(PEEC)method at the four corner points of the mounting systems to demonstrate the superior accuracy of the FDTD ***,a laboratory experiment is conducted on a small-scale PV system to validate the simulation *** calculated overvoltages obtained from the FDTD and PEEC methods are compared with the measured values,yielding a mean absolute error of 5%and 11%for the FDTD and PEEC methods,respectively,thereby confirming the accuracy of the FDTD simulation model.

关键词： transient behaviour finite

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Simplified Cluster Voltage Balancing Control Based on Zero-sequence Voltage Injection for Star-connected Cascaded H-bridge STATCOM

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CSEE Journal of Power and Energy Systems 2024年第5期10卷 2255-2264页

作者： Kai Hu Guoliang Zhao Daorong Lu Zhengang Lu Nianwen Xiang Shulai Wang Jintian Lin School of Electrical Engineering and Automation Hefei University of TechnologyHefei 230009China School of Electrical and Automation Engineering Nanjing Normal UniversityNanjing 210023China State Grid Smart Grid Research Institute(SGRI) Beijing 102209China Power grid Technology Center of State Grid Zhejiang Electric Power Research Institute Hangzhou 310004China

The cluster DC voltage balancing control adopting zero-sequence voltage injection is appropriate for the starconnected cascaded H-bridge STATCOM because no zerosequence currents are generated in the three-phase three-wire ***,as the zero-sequence voltage is expressed in trigonometric form,traditional control methods involve many complicated operations,such as the square-root,trigonometric operations,and inverse tangent *** simplify cluster voltage balancing control,this paper converts the zero-sequence voltage to the dq frame in a DC representation by introducing a virtually orthogonal variable,and the DC components of the zero-sequence voltage in the dq frame are regulated linearly by proportional integral regulators,rather than being calculated from uneven active powers in traditional *** removes all complicated ***,this paper presents simulation and experimental results for a 400 V±7.5 kvar star-connected STATCOM,in balanced and unbalanced scenarios,thereby verifying the effectiveness of the proposed control.

关键词： Cluster DC voltage balancing control DC representation of zero-sequence voltage star-connected cascaded H-bridge STATCOM zero-sequence voltage injection

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RESEARCH ON THE DEGRADATION PROCESS AND FAILURE MECHANISM OF HIGH VOLTAGE DC CONTACTOR IN electrical ENDURANCE EXPERIMENT 14

RESEARCH ON THE DEGRADATION PROCESS AND FAILURE MECHANISM OF...

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14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2024

作者： Gu, Zhihao Wu, Chengchuang Zhang, Chao He, Yubin Ren, Wanbin School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin China

ISBN: (纸本)9781837242672

The longer electrical lifespan and higher reliability of high voltage DC (HVDC) contactors have always been the requirements of the power distribution system. This paper carries out an electrical endurance experiment of a typical HVDC contactor under resistive load. Firstly, the typical waveforms of the contact voltage and coil current during the operation process are tested and presented. Then, the degradation trends of featured parameters such as pick-up time, release time, arcing time and contact resistance are extracted and analyzed. It is determined that the pick-up time and release time are the sensitive featured parameters for characterizing the degradation process of the contactor. The relationship between release time and arcing time are investigated. Furthermore, based on the variation trends of the pick-up voltage and the release voltage, it is discovered that the degradation of the opposing force is the root cause for the decrease in pick-up time and the increase in release time. Finally, the possible degradation and failure mechanisms of HVDC contactors are analyzed. © The Institution of engineering & technology 2024.

关键词： Pickups

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