ASCENT: Ultra-Compact PV Microinverters with Integrated Active Power Decoupling

ASCENT：具有集成有源功率去耦功能的超紧凑型光伏微型逆变器

• 批准号: 2328221
• 负责人: Alireza Khaligh
• 金额: $ 150万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2027-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2328221&HistoricalAwards=false
• 关键词: ASCENT; Ultra; Compact; PV; Microinverters

This NSF project aims to investigate a new family of energy conversion systems for residential and commercial solar photovoltaic systems. This project is focused on clean energy and energy efficiency for climate change mitigation. The project will bring transformative changes to the size and weight of solar energy conversions systems. This will be achieved by innovative circuit topologies, unique control, novel sensors, and optimized electro-thermal co-design. The intellectual merits of the project include fundamental research for scientific understanding of proposed innovative solar micro-inverters with substantially higher power densities and specific powers. The broader impacts of the project include high quality integration of research and education in power electronics to meet the emerging workforce and educational needs of the U.S. energy industry by educating young and talented students in strategic fields of renewable energy conversion systems. The team plans to recruit and train a diverse group of talented students including female and minority students in this research project. The results will be disseminated through professional conferences and reputable journals to enhance scientific and educational achievements. The project will also facilitate widespread adoption of solar energy systems.This project aims at introducing transformative solar micro-inverters enabled by novel single-stage, dual-active-bridge structures, and integrated active power decoupling control enhanced by unique high bandwidth sensors and innovative machine learning. Theoretical advancements in ultra-compact and highly efficient wide bandgap Gallium Nitride power electronic interfaces will be achieved. Innovative high bandwidth isolated current sensors capable of handling high slew-rate common mode voltage in a switch-node will be introduced. The work will result in novel machine learning, neural network control, and modulation techniques for wide bandgap-based converters. This project involves multidisciplinary research in power electronics, sensing circuits, thermal management, electro-thermal co-design, machine learning, neural network control, reliability, and design for manufacturing. The results are envisioned to lead to major breakthroughs in control, modeling, sensing, design, and reliability of power electronic interfaces for solar energy conversion systems.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该NSF项目旨在调查用于住宅和商业太阳能光伏系统的新型能源转换系统。该项目的重点是降低气候变化的清洁能源和能源效率。该项目将为太阳能转换系统的大小和重量带来变革性的变化。这将通过创新的电路拓扑，独特的控制，新型传感器和优化的电热共同设计来实现。该项目的智力优点包括基础研究，以科学理解具有较高功率密度和特定功能的拟议创新太阳微型逆变器。该项目的更广泛影响包括在电力电子中进行研究和教育的高质量融合，以满足美国能源行业的新兴劳动力和教育需求，通过教育年轻和才华横溢的学生在可再生能源转换系统的战略领域中进行教育。该团队计划在该研究项目中招募和培训包括女性和少数族裔学生在内的一群才华横溢的学生。结果将通过专业会议和知名的期刊传播，以增强科学和教育成就。该项目还将促进广泛采用太阳能系统。该项目旨在引入新型的单阶段，双活动桥结构来启用的变换太阳微型互相，并通过独特的高带宽传感器和创新的机器学习来增强积极的主动功率解次控制。将实现超紧凑型和高效的宽带氮化磁带电源电子界面的理论进步。将引入创新的高带宽隔离电流传感器，能够在开关节点中处理高率率公共模式电压。这项工作将为宽的基于带隙的转换器提供新的机器学习，神经网络控制和调制技术。该项目涉及电力电子，传感电路，热管理，电动性共同设计，机器学习，神经网络控制，可靠性和制造设计的多学科研究。结果设想将导致在控制，建模，感应，设计和可靠性太阳能转换系统中的重大突破。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准通过评估来通过评估来获得支持的。