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2023 International Conference on power Energy systems and Applications, ICoPESA 2023

作者： Zhao, Zexin Han, Bin Zhao, Guoliang Xu, Yunfei Lu, Zhengang Xiang, Nianwen Wang, Shulai China Electric Power Research Institute Power System Department Beijing China State Grid Smart Grid Research Institute State Key Laboratory of Advanced Power Transmission Technology Beijing China Hefei University of Technology School of Electrical Engineering and Automation Hefei China

ISBN: (纸本)9798350345605

Compared with power frequency AC transmission and DC transmission, low frequency AC transmission has its unique advantages, which is suitable for long distance transmission, large scale renewable generation and regulation of regional power grid. The fault characteristics affect the system design and operation, which is necessary to study. From the perspective of system topology and converter control, the characteristics of three-phase short circuit fault are analyzed and a simulation model is built on PSCAD for verification in this paper. After a fault occurs, it can be divided into two stages before and after the control responses. Before the control responses, the overvoltage is generated between the terminals of branch reactors and modular capacitors discharges. After the control responses, system characteristics are related to fault location and control strategy. The control and modulation of the converter can make the low frequency and power frequency systems interact with each other. This study can provide a reference for the parameters of equipment and converter control, as well as fault protection in low frequency systems. © 2023 IEEE.

关键词： Timing circuits

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Effect of Thermal Aging on Voltage Stabilizers To Enhance electrical Properties of Silicone Rubber

Effect of Thermal Aging on Voltage Stabilizers To Enhance El...

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2022 IEEE International Conference on High Voltage engineering and Applications, ICHVE 2022

作者： Zhu, Xiaoqian Zhou, Yuanxiang Zhang, Yunxiao Huang, Xin Tsinghua University State Key Laboratory of Power System and Generation Equipment Department of Electrical Engineering Beijing100084 China College of Electrical Engineering and Automation Fuzhou University Fujian Fuzhou350108 China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407502

To further explore the long-term influence of voltage stabilizers on silicone rubber (SiR), the electrical properties of unmodified SiR and SiR modified by two types of voltage stabilizers with high electron affinity were investigated after thermal aging. In this paper, three different kinds of SiR were thermally aged for 0, 40, and 80 days at 120°C. Then the characterization and electrical properties measurements were carried out. The results showed that the breakdown strength of SiR modified by voltage stabilizers after aging was still significantly higher than that of the unmodified SiR and that the conductivity of modified SiR reduced slightly at all aging stages. In addition, the space charge characteristics of the modified SiR also improved after aging. There were two main reasons. First, the cross-linked degree of SiR increased during the aging process. Second, the voltage stabilizers with high electron affinity migrated during the aging process and slowed down the thermal aging process of the SiR. © 2022 IEEE.

关键词： Thermal aging

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Analysis of the Status Quo and Coupling Mechanisms of the Ancillary Services Market with Carbon Market, Green Certificate Market and Green Electricity Market Under the Green Energy Transformation 1

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8th Purple Mountain Forum on Smart Grid Protection and Control, PMF 2023

作者： Wang, Jiahao Ma, Hengrui Wang, Bo Alharbi, Abdullah Wang, Hongxia Li, Xiaozhu Industry Research Center Qinghai University Xining810016 China School of Electrical and Automation Wuhan University Hubei Wuhan430072 China Hubei Key Laboratory of Power Equipment and System Security for Integrated Energy School of Electrical Engineering and Automation Wuhan University Wuhan China Prince Sattam Bin Abdulaziz University Al-Kharj Saudi Arabia Department of Electrical and Computer Engineering University of Denver Denver United States Engineering Research Center of Ministry of Education for Renewable Energy Generation and Grid Connection Technology Xinjiang University Xinjiang Urumqi830047 China School of Electrical and Automation Xinjiang University Urumqi830047 China

ISBN: (数字)9789819992515

ISBN: (纸本)9789819992508

Against the backdrop of the "dual carbon" goal and the green of energy transformation, the volatility and randomness issues of the new power system dominated by wind and solar power are becoming increasingly prominent, affecting the safe and stable operation of the power system. Therefore, the role of auxiliary services in promoting the use of alternative energy sources and ensuring power quality is becoming increasingly. In this context, this article summarizes and organizes the current development and operations status of the auxiliary services market, carbon market, green certificate market, and green electricity market in mature foreign markets, as well as the experience that can be used for reference. It also sorts out the relationship between the interaction and influence of the auxiliary services market and various other markets. Finally, based on the practical needs for market development to facilitate China’s green energy transformation, development recommendations are provided for the design of the auxiliary services market and various market coupling mechanisms, to fully leverage the synergistic effect of the auxiliary services market with the carbon market, green certificate market, and green electricity market, support China's green energy transformation. © 2024, State Grid Electric power.

关键词： Carbon

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A 200V Monolithic GaN Dynamic Floating Voltage Level Shifter with Nanosecond Propagation Delays and Noise-Immune Slewing Control

A 200V Monolithic GaN Dynamic Floating Voltage Level Shifter...

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Annual IEEE Conference on Applied power Electronics Conference and Exposition (APEC)

作者： Fei Zhou D. Brian Ma Department of Electrical and Computer Engineering Integrated Power Electronics System Laboratory The University of Texas at Dallas Richardson TX USA

Monolithic GaN power IC has been regarded as the ultimate solution to unlock the full potential of the wide bandgap GaN technology for next-generation high-speed, high-efficiency and high-density power circuits. However, with scarce power device options, the current development of monolithic GaN power ICs faces severe design challenges. A critical example can be found in the design of one of the most important circuit modules – the voltage level shifter, which is the enabler to drive any kind of high-side power switch in a power circuit. To overcome this challenge, this paper proposes a new circuit structure and a novel operation concept of a dynamic floating voltage level shifter to reduce propagation delays, improve dynamic slew rates and attain superb dv⁄dt noise immunity for both speed and reliability improvements. Implemented on a 200V, 180nm, n-type only, GaN-on-SOI process, the proposed voltage level shifter only occupies a die area of 0.12mm 2 and achieves 2.81ns rising and 3.44ns falling propagation delays at room temperature with a slew rate of 100V/ ns.

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A ΔIIN Self-Canceled SEPIC power Converter for EMI CISPR 25 Compliance

A ΔIIN Self-Canceled SEPIC Power Converter for EMI CISPR 25...

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Annual IEEE Conference on Applied power Electronics Conference and Exposition (APEC)

作者： Zhenda Fu Lixiong Du Jin Woong Kwak Fei Zhou D. Brian Ma Department of Electrical and Computer Engineering Integrated Power Electronics System Laboratory The University of Texas at Dallas Richardson TX USA

In an effort to comply with stringent electromagnetic interference (EMI) standards for automotive electronics applications, this paper introduces a new SEPIC converter topology with significantly reduced di/dt switching dynamics for conducted EMI suppression. The converter employs a unique T circuit network, consisting of a coupled inductor and an auxiliary LC branch, to self-cancel its input current ripple ΔI IN , thus minimizing associated di/dt. By doing so, the converter incurs no significant power density and efficiency penalties. Meanwhile, the converter requires no active control circuitry to ensure accurate ΔI IN cancelation, simplifying the design complexity. To demonstrate the converter topology and design ideas, a converter prototype is designed, which accommodates a wide input supply voltage range of 4.5V to 40V and delivers an output of 12V, with seamless buck-boost conversion operation. Operating at 400kHz, it delivers a maximum power of 42W and achieves a peak efficiency of 86.8%. For the step-up conversion with 5V V IN and 500mA load, the ΔI IN self-canceled SEPIC topology achieves 9.6dB peak EMI reduction at the fundamental frequency. For the step-down conversion with 1.5A load, it reduces the peak EMI by 20.4dB and 13.9dB at V IN of 24V and 40V, respectively, satisfying the CISPR25 Class 2 Standards.

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A Conduction-Loss-Conscious 4-Level power Converter with Tri-Path Synchronous Rectification for High Step-Down DC-DC Conversion

A Conduction-Loss-Conscious 4-Level Power Converter with Tri...

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Annual IEEE Conference on Applied power Electronics Conference and Exposition (APEC)

作者： Jin Woong Kwak D. Brian Ma Department of Electrical and Computer Engineering Integrated Power Electronics System Laboratory The University of Texas at Dallas Richardson TX USA

Multi-level power converters today are highly desirable for high step-down DC-DC conversions but face a serious challenge due to the inherent limitations of topology and operation, which severely impacts efficiency. To combat this challenge, this paper proposes a new operation strategy - tri-path synchronous rectification (TSR) to reduce conduction loss in each discharge phase significantly, which is regarded as a dominant factor to efficiency. The TSR strategy is non-intrusive and can be virtually applied to any multi-level converters without interrupting the original converter operation. To demonstrate the design ideas, a 4-level TSR converter prototype is designed and tested. It down-converts a 48V power source to an output voltage programmable from 1V to 2V with a maximum load of 25A and a peak efficiency of 90.8%.

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Data-driven Robust State Estimation Through Off-line Learning and On-line Matching

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Journal of Modern power systems and Clean Energy 2021年第4期9卷 897-909页

作者： Yanbo Chen Hao Chen Yang Jiao Jin Ma Yuzhang Lin State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical&Electronic EngineeringNorth China Electric Power UniversityBeijing 102206China School of Electrical and Information Engineering University of SydneySydney 2006Australia Department of Electrical and Computer Engineering University of MassachusettsLowellMA 01852USA

To overcome the shortcomings of model-driven state estimation methods, this paper proposes a data-driven robust state estimation (DDSE) method through off-line learning and on-line matching. At the off-line learning stage, a linear regression equation is presented by clustering historical data from supervisory control and data acquisition (SCADA), which provides a guarantee for solving the over-learning problem of the existing DDSE methods;then a novel robust state estimation method that can be transformed into quadratic programming (QP) models is proposed to obtain the mapping relationship between the measurements and the state variables (MRBMS). The proposed QP models can well solve the problem of collinearity in historical data. Furthermore, the off-line learning stage is greatly accelerated from three aspects including reducing historical categories, constructing tree retrieval structure for known topologies, and using sensitivity analysis when solving QP models. At the on-line matching stage, by quickly matching the current snapshot with the historical ones, the corresponding MRBMS can be obtained, and then the estimation values of the state variables can be obtained. Simulations demonstrate that the proposed DDSE method has obvious advantages in terms of suppressing over-learning problems, dealing with collinearity problems, robustness, and computation efficiency.

关键词： Robust state estimation historical snapshot off-line learning on-line matching collinearity

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Prediction of Geopolymer Concrete Compressive Strength Using Convolutional Neural Networks

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computer Modeling in engineering & Sciences 2024年第5期139卷 1455-1486页

作者： Kolli Ramujee Pooja Sadula Golla Madhu Sandeep Kautish Abdulaziz S.Almazyad Guojiang Xiong Ali Wagdy Mohamed Department of Civil Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Computer Science LBEF Campus(Asia Pacific University of Technology&InnovationMalaysia)Kathmandu44600Nepal Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmmanJordan

Geopolymer concrete emerges as a promising avenue for sustainable development and offers an effective solution to environmental *** attributes as a non-toxic,low-carbon,and economical substitute for conventional cement concrete,coupled with its elevated compressive strength and reduced shrinkage properties,position it as a pivotal material for diverse applications spanning from architectural structures to transportation *** this context,this study sets out the task of using machine learning(ML)algorithms to increase the accuracy and interpretability of predicting the compressive strength of geopolymer concrete in the civil engineering *** achieve this goal,a new approach using convolutional neural networks(CNNs)has been *** study focuses on creating a comprehensive dataset consisting of compositional and strength parameters of 162 geopolymer concrete mixes,all containing Class F fly *** selection of optimal input parameters is guided by two distinct *** first criterion leverages insights garnered from previous research on the influence of individual features on compressive *** second criterion scrutinizes the impact of these features within the model’s predictive *** to enhancing the CNN model’s performance is the meticulous determination of the optimal *** a systematic trial-and-error process,the study ascertains the ideal number of epochs for data division and the optimal value of k for k-fold cross-validation—a technique vital to the model’s *** model’s predictive prowess is rigorously assessed via a suite of performance metrics and comprehensive score ***,the model’s adaptability is gauged by integrating a secondary dataset into its predictive framework,facilitating a comparative evaluation against conventional prediction *** unravel the intricacies of the CNN model’s learning trajectory,a loss plot is deployed to elucidate its learning rat

关键词： Class F fly ash compressive strength geopolymer concrete prediction deep learning convolutional neural network

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Online distributed tracking of generalized Nash equilibrium on physical networks——Closing the Loop via Measurement Feedback

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Autonomous Intelligent systems 2021年第1期1卷 69-80页

作者： Yifan Su Feng Liu Zhaojian Wang Shengwei Mei Qiang Lu The State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijingChina The Key Laboratory of System Control and Information ProcessingMinistry of Education of ChinaDepartment of AutomationShanghai Jiao Tong UniversityShanghaiChina

In generalized Nash equilibrium(GNE)seeking problems over physical networks such as power grids,the enforcement of network constraints and time-varying environment may bring high computational *** online algorithms is recognized as a promising method to cope with this challenge,where the task of computing system states is replaced by directly using measured values from the physical *** this paper,we propose an online distributed algorithm via measurement feedback to track the GNE in a time-varying networked resource sharing *** that some system states are not measurable and measurement noise always exists,a dynamic state estimator is incorporated based on a Kalman filter,rendering a closed-loop dynamics of measurement-feedback driven online *** prove that,with a fixed step size,this online algorithm converges to a neighborhood of the GNE in *** simulations validate the theoretical results.

关键词： Generalized Nash equilibrium Distributed optimization Online optimization Feedback-based optimization State estimation Sharing market

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BHJO: A Novel Hybrid Metaheuristic Algorithm Combining the Beluga Whale, Honey Badger, and Jellyfish Search Optimizers for Solving engineering Design Problems

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computer Modeling in engineering & Sciences 2024年第10期141卷 219-265页

作者： Farouq Zitouni Saad Harous Abdulaziz S.Almazyad Ali Wagdy Mohamed Guojiang Xiong Fatima Zohra Khechiba Khadidja Â Kherchouche Department of Computer Science and Information Technology Kasdi Merbah UniversityP.O.Box 30000OuarglaAlgeria Department of Computer Science College of Computing and InformaticsUniversity of SharjahP.O.Box 27272SharjahUnited Arab Emirates Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan Guizhou Key Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China

Hybridizing metaheuristic algorithms involves synergistically combining different optimization techniques to effectively address complex and challenging optimization *** approach aims to leverage the strengths of multiple algorithms,enhancing solution quality,convergence speed,and robustness,thereby offering a more versatile and efficient means of solving intricate real-world optimization *** this paper,we introduce a hybrid algorithm that amalgamates three distinct metaheuristics:the Beluga Whale Optimization(BWO),the Honey Badger Algorithm(HBA),and the Jellyfish Search(JS)*** proposed hybrid algorithm will be referred to as *** this fusion,the BHJO algorithm aims to leverage the strengths of each *** this hybridization,we thoroughly examined the exploration and exploitation capabilities of the BWO,HBA,and JS metaheuristics,as well as their ability to strike a balance between exploration and *** meticulous analysis allowed us to identify the pros and cons of each algorithm,enabling us to combine them in a novel hybrid approach that capitalizes on their respective strengths for enhanced optimization *** addition,the BHJO algorithm incorporates Opposition-Based Learning(OBL)to harness the advantages offered by this technique,leveraging its diverse exploration,accelerated convergence,and improved solution quality to enhance the overall performance and effectiveness of the hybrid ***,the performance of the BHJO algorithm was evaluated across a range of both unconstrained and constrained optimization problems,providing a comprehensive assessment of its efficacy and applicability in diverse problem ***,the BHJO algorithm was subjected to a comparative analysis with several renowned algorithms,where mean and standard deviation values were utilized as evaluation *** rigorous comparison aimed to assess the performance of the BHJOalgorithmabout its counterparts,shedd

关键词： Global optimization hybridization of metaheuristics beluga whale optimization honey badger algorithm jellyfish search optimizer chaotic maps opposition-based learning

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