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IEEE Transactions on Energy Markets, Policy and Regulation 2024年第4期2卷 552-560页

作者： Rui, Xinyang Mirzapour, Omid Sahraei-Ardakani, Mostafa University of Utah Department of Electrical and Computer Engineering Salt Lake CityUT84112 United States

Modernization of the transmission system via deploying grid-enhancing technologies (GETs) is a cornerstone of future grid design. New congestion patterns necessitating renewable energy curtailment highlight the significance of GETs. Despite the wide acknowledgment of the importance and benefits of GETs, their deployment remains fairly limited. One important barrier is the lack of proper incentives for deployment and efficient operation of GETs. This paper designs an incentive scheme to compensate GETs based on their performance in the intraday market. The rewards are determined based on the cost savings achieved by GET operations and are allocated to market participants using the Shapley value. The proposed incentive scheme is tested with numerical studies on modified IEEE RTS 24-bus and IEEE 300-bus systems. Results confirm that the designed incentive is aligned with the system objective: GET owners are compensated when cost savings are achieved. The benefits of a performance-based payment scheme are threefold: (i) it promotes efficient operation of existing GETs based on the state of the system, (ii) it attracts further GETs deployment, and (iii) moves the risk from ratepayers to the investors. © 2024 IEEE.

关键词： Costs

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Mutual Coupling Mitigation Through Parasitic Structure in a Dual-Band Millimeter-Wave Flexible MIMO Antenna 10

Mutual Coupling Mitigation Through Parasitic Structure in a ...

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10th International Conference on engineering and Emerging Technologies, ICEET 2024

作者： Ahmad, Jawad Hashmi, Mohammad School of Engineering and Digital Sciences Nazarbayev University Department of Electrical and Computer Engineering Astana Kazakhstan

ISBN: (纸本)9798331532895

This paper introduces a dual-band millimeter-wave flexible multi-input multi-output (MIMO) antenna for wearable applications, comprising four identical elements in a cross configuration on a flexible Rogers RT5880 substrate. Each element includes a rectangular microstrip patch with an inverted U-shaped slot, facilitating dual-band operation at 28 GHz and 33 GHz. A parasitic structure was added to the MIMO design to reduce mutual coupling. Results indicate that the antenna achieves a bandwidth of 0.28 GHz (27.98-28.26 GHz) in the lower band and 1.01 GHz (32.24-33.25 GHz) in the upper band, with gains of 6.10 dBi at 28 GHz and 9.05 dBi at 33 GHz, and efficiencies of 0.77 and 0.88, respectively. The parasitic structure reduces the mutual coupling to below -20 dB across both bands. The antenna performed stably under extreme bending conditions. The low envelope correlation coefficient ( © 2024 IEEE.

关键词： Microwave antennas

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Design of a Standalone Hybrid Renewable Energy System - A Hospital in Lafayette, Indiana, USA 5

Design of a Standalone Hybrid Renewable Energy System - A Ho...

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5th IEEE International Conference on Communication, Computing and Industry 6.0, C2I6 2024

作者： Thapa, Samir Asrari, Arash Naderi, Ehsan Fajri, Poria Purdue University Northwest Department of Electrical and Computer Engineering HammondIN United States Arkansas State University College of Engineering and Computer Science Department of Electrical Engineering JonesboroAR United States University of Nevada Department of Electrical and Biomedical Engineering RenoNV United States

ISBN: (纸本)9798350379884

This paper presents the design of a standalone hybrid renewable energy system (HRES) for a hospital in Lafayette, Indiana, USA, to enhance energy reliability and reduce costs. The proposed system integrates photovoltaic (PV) panels, wind turbines, batteries, and a backup diesel generator. Using Hybrid Optimization Model for Electric Renewables (HOMER) software, the system is optimized for cost-effectiveness and sustainability, while electrical Transient Analyzer program (ETAP) software is employed to ensure a safe operation under varying conditions. Results verify that the developed HRES meets the hospital's energy needs, significantly reduces operational costs, and minimizes carbon emissions, offering a sustainable model for healthcare facilities. © 2024 IEEE.

关键词： Windmill

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Parasitic Patch Antenna with Beam Switching for 5G Millimeter-Wave Frequencies 10

Parasitic Patch Antenna with Beam Switching for 5G Millimete...

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10th International Conference on engineering and Emerging Technologies, ICEET 2024

作者： Nurgali, Raiymbek Ahmad, Jawad Hashmi, Mohammad School of Engineering and Digital Science Nazarbayev University Department of Electrical and Computer Engineering Astana Kazakhstan

ISBN: (纸本)9798331532895

This paper presents a novel millimeter-wave (mmWave) antenna design for 5G applications, featuring a parasitic elliptical patch antenna with beam-switching capabilities and coaxial feeding. The antenna was initially designed as a single-element patch antenna for the 28 GHz mmWave band, demonstrating favorable impedance matching and broadside radiation patterns. Circular parasitic patches with and without vias were strategically placed around the main radiator to enhance the radiation pattern and gain. The single-element design achieved an impedance bandwidth of 2.7 GHz (26.8-29.5 GHz) and a gain of 7.5 dBi at 28 GHz. The optimized parasitic structure, consisting of carefully positioned open and short circular patches, significantly improved the antenna's performance. The parasitic design exhibited an enhanced return loss of -30.5 dB, indicating excellent impedance matching, and a gain of approximately 8 dBi. The proposed antenna exhibits enhanced performance characteristics in terms of gain, return loss, and beam steering capabilities, and it is suitable for next-generation wireless communication systems. © 2024 IEEE.

关键词： Slot antennas

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Optimizing land mine detection across diverse mining environments: A hyperspectral data approach with regression models

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International Journal of Intelligent Networks 2024年第1期5卷 351-363页

作者： Anand, R. Andrew, J. Makki, Ihab Department of Electrical and Electronics Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India Department of Computer Science and Engineering Manipal Institute of Technology Manipal Academy of Higher Education Manipal Karnataka 576104 India Department of Nouvelle Aquitaine France

The detection of landmines, namely anti-tank mines, explosive devices, and unexploded ordnance, is a formidable obstacle for the global community. The visible consequences of unobserved explosives in communities affected by war are characterized by significant devastation and human suffering. In order to effectively tackle this matter, it is imperative to use proactive strategies that focus on the identification and mitigation of these perilous substances prior to their potential infliction of harm. Nevertheless, the majority of current solutions exhibit significant deficiencies, such as exorbitant expenses, inefficiencies, and apprehensions over accuracy. These drawbacks are further compounded by the inherent trade-offs that exist between these elements, where improvements in one area often come at the expense of another. Contrarily, recent breakthroughs in the areas of deep learning, unmanned aerial vehicles, and sensor technologies are being recognized as potentially transformative elements in the domain of landmine identification and removal. This paper presents a thorough examination of recent scholarly investigations that integrate computerized technology in the field of landmine detection. To the extent of our current understanding, there has been no prior investigation that has thoroughly examined this particular domain. The main aim of this study is to investigate the incorporation of machine learning based regression methods in the field of landmine detection. The study specifically emphasizes the identification and resolution of existing issues that hinder the development of efficient automated solutions, hence enhancing performance optimization. The Sum of Sine Curve Fit Regression Model is proposed and proved a powerful and adaptable tool for extracting relevant information from this hyperspectral images. © 2024 The Authors

关键词： Unmanned aerial vehicles (UAV)

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Multi-Objective Optimization of Triple Active Bridge DC-DC Converters

Multi-Objective Optimization of Triple Active Bridge DC-DC C...

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2024 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2024

作者： Luckett, Benjamin He, JiangBiao University Of Kentucky Department Of Electrical And Computer Engineering LexingtonKY United States University Of Tennessee Department Of Electrical Engineering And Computer Science KnoxvilleTN United States

ISBN: (纸本)9798331529277

The triple active bridge (TAB) is a promising 3-port DC-DC converter technology which performs bi-directional power transfer with galvanic isolation. Due to intensive interactions between parameter selection and a TAB converter's performance in efficiency, specific power, reliability, and cost, many design considerations need to be simultaneously weighed to achieve an optimal converter. In this paper, a genetic algorithm based design optimization framework is developed to enhance the performance of a TAB converter with respect to multiple design objectives. Switching devices, thermal management systems, passive components, and the design of a planar multi-winding transformer are accounted for to ensure multidisciplinary performance benefits. Initial optimization results when aiming to attain the highest specific power and efficiency are presented, and the related design trade-offs are discussed. © 2024 IEEE.

关键词： Transformer windings

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A Hybrid Islanding Detection Technique using Voltage Positive Feedback and Frequency Deviation in GFM based Microgrid

A Hybrid Islanding Detection Technique using Voltage Positiv...

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2024 IEEE PES/IAS PowerAfrica, PowerAfrica 2024

作者： Diouf, Alioune Noro, Yasuhiro Electrical Engineering and Electronics Program Kogakuin University Tokyo Japan Kogakuin University Department of Electrical and Electronics Engineering Tokyo Japan

ISBN: (纸本)9798350389388

This paper introduces a grid forming(GFM) inverter equipped with a hybrid islanding detection method which combined the positive feedback(PF) of the point of common coupling(PCC) voltage based active method used and the frequency deviation as a passive method. The proposed algorithm is implemented inside the GFM voltage controller. Furthermore, a frequency deviation threshold is addressed based on a theoretical approach in order to relieve continuous disturbance injection. This hybrid method doesn't undergo a non-detection zone(NDZ) and, an additionally, a continuous operation of the microgrid is achieved. Moreover, the proposed algorithms can distinguish islanding phenomenon against load switching during grid connected mode. The results are evaluated by simulations using ATPdraw software. © 2024 IEEE.

关键词： autonomous operation distributed generators grid forming hybrid islanding detection islanding detection positive feedback

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Distributed Resilient Control of DC Microgrids Under Polynomially Unbounded FDI Attacks

Distributed Resilient Control of DC Microgrids Under Polynom...

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2025 IEEE PES Grid Edge Technologies Conference and Exposition, Grid Edge 2025

作者： Wang, Yichao Rajabinezhad, Mohamadamin Beg, Omar A. Zuo, Shan University of Connecticut Department of Electrical and Computer Engineering CT06269 United States The University of Texas Department of Electrical Engineering TX79762 United States

ISBN: (纸本)9798350352528

Cyber threats pose considerable challenges to mi-crogrids due to microgrids' reliance on advanced digital and communication technologies. Fast-growing unbounded False Data Injection (FDI) unbounded attacks injected in virtual control inputs lead to risks of rapid system instability and collapse. However, traditional noise-resilient or bounded-attack-resilient control protocols for DC microgrids are not capable of handling these unbounded attack signals. This paper introduces the secondary defense strategies that addresses these unbounded FDI attack signals, thereby enhancing the resilience of DC micro-grids in adversarial environments. Rigorous proofs, employing Lyapunov techniques, affirm that the proposed defense strategies guarantee voltage regulation and proportional load sharing under polynomially unbounded FDI attacks. Comparative case studies corroborate the enhanced resilience of the proposed attack-resilient control strategies. © 2025 IEEE.

关键词： Microgrids

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A Remedial Action Scheme Against False Data Injection Cyberattacks Targeting ULTC Transformers in Smart Distribution Systems

A Remedial Action Scheme Against False Data Injection Cybera...

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2024 IEEE IAS Industrial and Commercial Power System Asia, I and CPS Asia 2024

作者： Naderi, Ehsan Asrari, Arash Fajri, Poria College of Engineering and Computer Science Arkansas State University Department of Electrical Engineering JonesboroAR United States Purdue University Northwest Department of Electrical and Computer Engineering HammondIN United States University of Nevada Electrical and Biomedical Engineering Department RenoNV United States

ISBN: (纸本)9798350352290

This paper proposes an on-line remedial action scheme (OLRAS) in order to mitigate the voltage violations caused by false data injection attacks (FDIAs) targeting under load tap changing (ULTC) transformers in smart distribution systems. The FDIA framework contains two different phases. In the attack phase, distribution system operator (DSO), being in attacker's shoe, considers cyberattack scenarios through compromising the results of volt-var optimization problem in a radial distribution grid modified with distributed energy resources (DERs) such as photovoltaic (PV) units and wind turbines (WTs). The outcome of the attack phase will be the compromised voltage profile of the distribution grid showing different rates of voltage violations. In the reaction phase, the DSO rapidly identifies a customized distribution feeder reconfiguration (CDFR) in order to update the flows of active and reactive power throughout the targeted distribution system and recover the voltage profile. The objective functions of the proposed CDFR are defined to minimize the impacts of such cyberattacks targeting ULTCs within distribution grids. This will empower DSOs to react to severe cyberattacks, bypassing the detection stage, and address the voltage violations in a timely manner. The effectiveness of the proposed OLRAS is validated on an IEEE test system. © 2024 IEEE.

关键词： Distribution transformers

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Analyzing the Impact of Demographic and Operational Variables on 1-to-Many Face ID Search

IEEE Transactions on Technology and Society

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IEEE Transactions on Technology and Society 2024年第2期5卷 217-230页

作者： Pangelinan, Gabriella Bhatta, Aman Wu, Haiyu King, Michael C. Bowyer, Kevin W. Florida Institute of Technology Department of Electrical Engineering and Computer Science MelbourneFL32901 United States University of Notre Dame Department of Computer Science and Engineering Notre DameIN46556 United States

Concerns related to the proliferation of automated face recognition technology with the intent of solving or preventing crimes continue to mount. The technology being implicated in wrongful arrest following 1-to-many face identification has heightened scrutiny in the media and spawned lawsuits. We analyze the accuracy of 1-to-many face identification across African-American and Caucasian demographic groups and in the presence of blur and reduced resolution in the probe image, as might occur in "surveillance camera quality"images. Because of the high accuracy of modern face recognition algorithms with "government ID quality"images and the size of available datasets, we use the following indirect metrics to assess the relative propensity for false positive identifications: (1) the traditional d-prime statistic between mated and non-mated score distributions, (2) absolute score difference between thresholds in the high-similarity tail of the non-mated distribution and the low-similarity tail of the mated distribution, and (3) distribution of (mated - non-mated rank-one scores) across the set of probe images. We find that demographic variation patterns in 1-to-many accuracy largely, but not perfectly, follow that observed in 1-to-1 accuracy. We show that, different from the case with 1-to-1 matching accuracy, demographic comparison of 1-to-many accuracy can be affected by different numbers of identities and images across demographics. We also show that increased blur or reduced resolution of the face in the probe image can significantly increase the false positive identification rate. This point is important because the reputation of modern face recognition algorithms for high accuracy in 1-to-many face identification comes from statistics based on analyzing "government ID quality"rather than "surveillance camera quality"images. © 2024 IEEE.

关键词： Face recognition

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