Min Gao

ORCID: 0000-0003-0286-5289
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About
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Research Areas
  • Energy Harvesting in Wireless Networks
  • Innovative Energy Harvesting Technologies
  • Wireless Power Transfer Systems
  • Magnetic Field Sensors Techniques
  • Solar Radiation and Photovoltaics
  • Microgrid Control and Optimization
  • Power Systems and Renewable Energy
  • Photovoltaic System Optimization Techniques
  • Micro and Nano Robotics
  • Multilevel Inverters and Converters
  • High-Voltage Power Transmission Systems
  • Engineering and Technology Innovations
  • Energy and Environment Impacts
  • Solar Thermal and Photovoltaic Systems
  • Magnetic confinement fusion research

Florida State University
2022-2024

Electromagnetic energy harvesting extracts from magnetic fields and can provide power to sensors, monitoring nodes, cyber-physical systems control elements without additional battery external source wiring. This article presents a novel ac-driven electromagnetic harvester based on periodically saturating, cascaded magnetics, consisting of clampable core an ungapped high permeability core. The guarantees the maximum extraction, whereas enables nonintrusive installation for more pervasive...

10.1109/tpel.2022.3218725 article EN IEEE Transactions on Power Electronics 2022-11-04

Magnetic energy harvesting (MEH) extracts from magnetic fields generated AC current, providing power for environmental sensors, Internet of Things (IoTs), and monitoring nodes. The cascaded-magnetic-based electromagnetic harvesters, consisting a clampable core high-permeability ungapped core, feature relatively higher density predictability in harvesting. only facilitates non-intrusive mounting the harvester onto primary wire while is heart to guarantee maximum extraction usable output...

10.1109/apec43580.2023.10131308 article EN 2022 IEEE Applied Power Electronics Conference and Exposition (APEC) 2023-03-19

Magnetic Energy Harvesting (MEH) leverages magnetic fields produced by AC current-carrying wires to harvest energy. This type of energy harvesting produces a relatively high volumetric density compared other ambient methods, suitable for self-powering low-power devices like embedded systems, sensor nodes, Internet-of-Things (IoT), and cyber-physical systems (CPS). Previous research works showed that the core should operate in an appropriately saturated state maximal harvesting. saturation is...

10.1109/jestpe.2024.3384949 article EN IEEE Journal of Emerging and Selected Topics in Power Electronics 2024-06-01

Energy harvesting technologies proliferate self-powered autonomous devices via presenting a higher degree of freedom for sensors and control elements. Among all types energy harvesting, electromagnetic provides relatively denser features high predictability in an amount extraction seamless accessibility consumption measurement. This paper illustrates electromag-netic harvester, which consists clampable magnetic core tandem with ungapped permeability that extracts from fields induced by AC...

10.1109/ecce50734.2022.9947560 article EN 2022 IEEE Energy Conversion Congress and Exposition (ECCE) 2022-10-09

10.1109/tia.2024.3384931 article EN IEEE Transactions on Industry Applications 2024-04-09

10.1109/apec48139.2024.10509405 article EN 2022 IEEE Applied Power Electronics Conference and Exposition (APEC) 2024-02-25

10.1109/ecce55643.2024.10861407 article EN 2022 IEEE Energy Conversion Congress and Exposition (ECCE) 2024-10-20

Direct Current (DC) microgrids have the potential to improve efficiency and reliability of power system operations in many applications. A key building block for stable operation a DC microgrid is its control strategy. Droop has been introduced as one most popular strategies. However, basic characteristics different types droop not fully investigated. While there are lot work about voltage-current (VI) current-voltage (IV) characteristics, analysis voltage-power (VP) power-voltage (PV)...

10.1109/ias54024.2023.10406390 article EN 2022 IEEE Industry Applications Society Annual Meeting (IAS) 2023-10-29

The global shift towards renewable energy sources has spotlighted solar as a pivotal solution for sustainable power generation. As the adoption of photovoltaic (PV) panels grows, understanding intricate relationship between PV output and varying weather conditions becomes paramount. Traditional linear models have provided foundational insights, but often fall short in capturing nuanced interactions among multiple variables. Recent state-of-the-art approaches, leveraging machine learning...

10.1109/ceect59667.2023.10420605 article EN 2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) 2023-12-15

Solar photovoltaic (PV) systems are at the forefront of global transition to sustainable energy. However, understanding their performance under diverse real-world conditions remains a challenge. Traditional studies, often limited laboratory simulations or narrow field data, provide an incomplete picture. This paper presents groundbreaking approach, offering exhaustive study capturing PV panel output characteristics across spectrum weather scenarios and tilting angles. Our comprehensive...

10.1109/ceect59667.2023.10420475 article EN 2022 4th International Conference on Electrical Engineering and Control Technologies (CEECT) 2023-12-15
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