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Average Current Control Design of Active Power Decoupling Converter with Low Filter Inductance Based on Double Sampling Techniques for PV Microinverter

Average Current Control Design of Active Power Decoupling Co...

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2024 International Conference on Sustainable Energy: Energy Transition and Net-Zero Climate Future, ICUE 2024

作者： Shen, Yidi Hasnain, Arafat Zakzewski, Daniel Resalayyan, Rakesh Khaligh, Alireza University of Maryland College Park Department of Electrical and Computer Engineering The Institute for Systems Research College ParkMD United States

ISBN: (纸本)9798331517076

Active power decoupling (APD) converter is a power dense and reliable solution in dc-ac power conversion systems to balance the fluctuating ac-side power and constant dc-side power. In boost type APD converter, filter inductor with low inductance can be beneficial in achieving efficient and compact designs or allows the implementation of zero voltage switching (ZVS) based modulation. On the other hand, the reduced inductance increases the difficulty of controller design due to reduction of the average current control loop phase margin and higher requirement in low-pass-filter (LPF). This paper proposes an average current control based on double sampling techniques to reduce the phase delay of LPF and improve the current tracking performance under low inductance. The implementation of double sampling in the digital signal processor (DSP) and the design of control loops are discussed. The proposed approach is experimentally verified using a 40 V, 400 W APD converter prototype. © 2024 IEEE.

关键词： Low pass filters

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Advanced extended-term simulation approach with flexible quas-isteady-state and dynamic semi-analytical simulation engines

iEnergy

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iEnergy 2022年第1期1卷 124-132页

作者： Rui Yao Dongbo Zhao A.P.Sakis Meliopoulos Chanan Singh Joydeep Mitra Feng Qiu Division of Energy Systems Argonne National LaboratoryLemontIL 60439USA School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Department of Electrical and Computer Engineering Texas A&M UniversityCollege Sta-tionTX 77843USA Department of Electrical and Computer Engineering Michigan State UniversityEast LansingMI 48824USA

Power system simulations that extend over a time period of minutes,hours,or even longer are called extendedterm *** power systems evolve into complex systems with increasing interdependencies and richer dynamic behaviors across a wide range of timescales,extendedterm simulation is needed for many power system analysis tasks(e.g.,resilience analysis,renewable energy integration,cascading failures),and there is an urgent need for efficient and robust extendedterm simulation *** conventional approaches are insufficient for dealing with the extendedterm simulation of multitimescale *** paper proposes an extendedterm simulation approach based on the semianalytical simulation(SAS)*** accuracy and computational efficiency are backed by SAS's high accuracy in eventdriven simulation,larger and adaptive time steps,and flexible switching between fulldynamic and quasisteadystate(QSS)*** used this proposed extendedterm simulation approach to evaluate bulk power system restoration plans,and it demonstrates satisfactory accuracy and efficiency in this complex simulation task.

关键词： Extended-term simulation resilience multi-timescale simulation event-driven simulation dynamics quasi-steady-state(QSS) hybrid simulation holomorphic embedding(HE) semi-analytical simulation(SAS)

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Enhancing Simulation Precision of Modular Multilevel Converters Through Hardware-Informed Digital Twin

Enhancing Simulation Precision of Modular Multilevel Convert...

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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Zhou, Zhipeng Dai, Ning Yi University of Macau State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering Macao China

ISBN: (纸本)9798350380514

In many scenarios, most power electronics simulation tools cannot accurately track the output performance of modular multilevel converters (MMCs) during experimental verification. Therefore, this paper presents a digital twin (DT)-driven method leveraging hardware information to improve the simulation precision of MMCs. This DT model, which is developed on the Python/PSCAD co-simulation platform, not only facilitates the processing of experimental data, but also realizes the automatic control of simulation. The design principle of the proposed model is demonstrated using a physical three-phase MMC with carrier phase-shifted pulsewidth modulation (CPS-PWM). The results prove that compared with the traditional simulation model, the voltage and current performance of the DT model aligns more closely with that of the physical system. © 2024 IEEE.

关键词： Digital elevation model

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Analysis and Comparison of Integrated Planar Transformers for CLLC Resonant Converters

Analysis and Comparison of Integrated Planar Transformers fo...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Yuan, Tianlong Jin, Feng Yu, Gibum Li, Qiang Virginia Polytechnic and State University Center for Power Electronics Systems Bradley Department of Electrical and Computer Engineering Blacksburg United States

ISBN: (纸本)9798350376067

The advancement of electric vehicles and green energy technologies necessitates on-board chargers (OBCs) with higher power density and reduced costs. Integrated planar magnetics emerge as a highly competitive option due to their superior power density and ease of manufacturing compared to traditional magnetic designs. However, detailed flux analysis, particularly the distribution on the plate, remains essential for evaluating various transformer structures. This paper presents a comprehensive comparison of different core structures for integrated transformers, validated through an 11-kW CLLC resonant converter prototype with a 98.4% peak efficiency and 420 W/inch3 power density. © 2024 IEEE.

关键词： Resonant converters

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Modeling and Analysis of The Balance Network for Common Mode EMI Noise Suppression

Modeling and Analysis of The Balance Network for Common Mode...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Yang, Qiuzhe Wang, Shuo Li, Qiang Virginia Tech Center for Power Electronics Systems Bradley Department of Electrical and Computer Engineering BlacksburgVA24061 United States

ISBN: (纸本)9798350376067

This paper presents the model of the balance technique for common mode noise suppression. Considering the resonance due to the self-parasitic capacitance of the inductor in the balance network, coupling between the inductors is essential to compensate for the impact of self resonance. The derived model illustrates how the coupling coefficient affects the balance condition. To verify the model, three coupled inductors with different coupling coefficients are designed. A voltage-gain based method is proposed to simulate the real noise source in the balance network. And the voltage ratio between the balance bridges can be experimentally measured. The result matches the prediction very well and verifies the balance model. © 2024 IEEE.

关键词： Interference suppression

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computer Graphics in Teaching Mathematics 15

Computer Graphics in Teaching Mathematics

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15th International Conference on eLearning, eLearning 2024

作者： Papadopoulos, Evanthios Kougias, Ioannis Laboratory of Interdisciplinary Semantic Interconnected Symbiotic Education Environments Electrical and Computer Engineering Department Faculty of Engineering University of Peloponnese Patras Greece

computer Graphics is the scientific field of computer-aided visualization. It is based on a specific mathematical background and is an ever-exploring area of today's applications, which are everywhere in our daily lives. computer graphics can be a powerful tool to enhance the teaching and learning of mathematics. In this short article we explore and present ways in which computer graphics are a powerful tool in enhancing the teaching and learning of mathematics in elementary and secondary education. © 2024 Copyright for this paper by its authors.

关键词： Digital elevation model

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Deep Learning-Based Strategies for Integrated Autonomous Navigation: A Review

Deep Learning-Based Strategies for Integrated Autonomous Nav...

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2024 International Telecommunications Conference, ITC-Egypt 2024

作者： Fekry, Alaa Kamel, Ahmed M. Elhalwagy, Yehia Abosekeen, Ashraf Military Technical College Department of Electrical and Computer Engineering Cairo Egypt October University for Modern Sciences and Arts Department of Mechatronics Systems Engineering Giza Egypt

ISBN: (纸本)9798350351408

Multi-sensor integrated navigation/positioning systems (MSINPS) play a crucial role in achieving precise positioning and navigation in challenging environments. By combining data from various sensors such as Global Navigation Satellite System (GNSS), Inertial Measurement Units (IMUs), cameras, and Light Detection and Ranging (LiDar), MSINPS enhance accuracy and robustness, ensuring uninterrupted operation even in the event of sensor malfunction. This paper explores autonomous vehicle guidance for safe and efficient navigation, focusing on two paths of data fusion: sensor-based fusion and learning-based fusion. The effectiveness of MSINPS hinges on meticulous sensor selection and optimization to meet the requirements of autonomous navigation applications. Addressing noise, biases, and inconsistencies through data pre-processing is essential for robust data fusion. Advanced fusion algorithms leveraging machine learning and deep learning techniques exhibit superior accuracy and adaptability. Furthermore, integrating MSINPS with artificial intelligence (AI) opens new avenues for navigation and positioning enhancement. This integration can lead to improvements in sensor technology and solution outcomes. Striking a balance between computational complexity and available resources promotes efficient operation while implementing fault tolerance strategies ensures system robustness across diverse environments. © 2024 IEEE.

关键词： Global positioning system

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Assessment of a Novel Tunable 3D Structured Illumination Microscopy (TSIM) System

Assessment of a Novel Tunable 3D Structured Illumination Mic...

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2024 Imaging systems and Applications, ISA 2024 - Part of Optica Imaging Congress

作者： Atibi, Arash Alqahtani, Abdulaziz Preza, Chrysanthe Computational Imaging Research Laboratory Department of Electrical and Computer Engineering The University of Memphis MemphisTN38152 United States

The study explored the impact of regularization on achieved resolution in 3D restorations using the MBPC iterative algorithm and the TSIM system, at different noise levels. Results indicate significant resolution enha... 详细信息

关键词： Optical fibers

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Lightweight and Roubust Key Agreement for Securing IIoT-Driven Flexible Manufacturing systems

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IEEE Internet of Things Journal 2025年第11期12卷 17197-17209页

作者： Hammad, Muhammad Badshah, Akhtar Almeer, Mohammed A. Waqas, Muhammad Song, Houbing Chen, Sheng Han, Zhu GIK Institute of Engineering Sciences and Technology Faculty of Mechanical Engineering Topi23640 Pakistan University of Malakand Department of Software Engineering Dir Lower18800 Pakistan University of Bahrain Computer Engineering Department College of Information Technology 32038 Bahrain University of Greenwich Faculty of Engineering and Science Centre for Sustainable Cybersecurity United Kingdom Edith Cowan University School of Engineering PerthWA6027 Australia Department of Information Systems BaltimoreMD United States University of Southampton School of Electronics and Computer Science SouthamptonSO17 1BJ United Kingdom University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of

The ever-evolving Internet of Things (IoT) has ushered in a new era of intelligent manufacturing across multiple industries. However, the security and privacy of real-time data transmitted over the public channel of the industrial IoT (IIoT) remain formidable challenges. Existing lightweight protocols often omit one or more critical security features, such as anonymity and untraceability, and are susceptible to threats like desynchronization attacks. Additionally, they struggle to achieve an optimal balance between robust security and performance efficiency. To bridge these gaps, we introduce a new lightweight key agreement security scheme that guarantees secure access to the IIoT-enabled flexible manufacturing system (FMS). The strength of our scheme lies in its utilization of the authenticated encryption with associative data (AEAD) primitive, AEGIS, along with hash functions and physical unclonable functions, which secure the IIoT ecosystem. Additionally, our scheme offers flexibility in the form of the addition of new machines, password updates, and revocation in cases of theft or loss. A comprehensive security analysis demonstrates the efficacy of the proposed scheme in thwarting various attacks. The formal analysis, based on the Real-Or-Random (RoR) model, ensures session key indistinguishability, while the informal analysis highlights its resilience against known attacks. The comparative assessment demonstrate that the proposed scheme consistently outperforms the benchmark schemes across multiple dimensions, including security and functionality features, computational and communication overheads, and runtime efficiency. Specifically, the proposed scheme achieves peak performance enhancements of 77.55%, 44.73%, and 69.6% in computational overhead, runtime overhead, and communication overhead, respectively, underscoring its substantial performance advantages. © 2025 IEEE.

关键词： Flexible manufacturing systems

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Optimal Operation and Economic Analysis of Ice Thermal Energy Storage in District Cooling System

Optimal Operation and Economic Analysis of Ice Thermal Energ...

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2024 IEEE Power and Energy Society General Meeting, PESGM 2024

作者： Wei, Xiangyu Zhang, Hongcai Wong, Chi Kong University of Macau State Key Laboratory of Internet of Things for Smart City Department of Electrical and Computer Engineering 999078 China

Ice thermal energy storage (ITES) is a type of cooling thermal energy storage. It can shift the daytime peak cooling load to nighttime, thereby enhancing the economic benefit of the cooling system and enabling peak load shifting in the power grid. Although ITES has been widely utilized in district cooling systems (DCSs), the economic assessment of its implementation in DCS remains inadequate due to the thermal dynamics and operation strategy. This paper first presents an ITES-equipped DCS optimal operation model integrated with the time of use electricity price and demand charge. The proposed model can provide the economically optimal operation scheme considering the ITES dynamic charging/discharging process, and the change of the chiller's coefficient of performance, which depends on the ambient temperature and partial load rates. Then the economy of the ITES in a real DCS is assessed based on the proposed operation model. A comprehensive case study is employed to evaluate its benefit in comparison with the DCS equipped with battery energy storage. The case study indicates that the DCS with ITES outperforms in the economy, whereas DCS with battery energy storage surpasses in reducing demand charge. © 2024 IEEE.

关键词： Battery storage

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