PFI-RP: Development of Novel Inverter Technologies and Prototypes for Enhanced Power Generation from Renewable Energy Resources

PFI-RP：开发新型逆变器技术和原型以增强可再生能源发电

• 批准号: 2141067
• 负责人: Shuhui Li
• 金额: $ 55万
• 依托单位: University of Alabama Tuscaloosa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2141067&HistoricalAwards=false
• 关键词: PFI; RP; Development; Novel; Inverter

The broader impact/commercial potential of this Partnerships for Innovation - Research Partnerships (PFI-RP) project is to increase dependable power generation from renewable energy resources and to improve the reliability and stability of the nation’s electric power grid. Technical problems in connecting and controlling renewable energy resources have resulted in many large-scale failures and the interruption of energy production from these resources, jeopardizing the safe and reliable operation of the nation’s electric power system. The proposed technology seeks to overcome the limitations of existing systems, increase reliability for connecting the inverter-based resources to the electric power grid, and allow more renewable energy to supply American homes and businesses. Attaining these goals will increase customer adoption of electric or plug-in hybrid electric vehicles. The technology may increase the competitiveness of US companies in the global inverter, artificial intelligence (AI), and renewable energy markets. The commercial impacts of the project are augmented by an educational outreach plan that will engage student researchers in engineering design problems that integrate and address business-relevant constraints and customer needs.The proposed project aims to translate AI inverter control innovation into a commercial product, process, and/or service. There are two main gaps to overcome in the proposed project. One is a knowledge gap to extend the previous neural-network control technology to practical grid-following and grid-forming applications supporting the operation of inverter-based resources in grid-tied, islanded, and standalone conditions. The other gap is a technical barrier to move the proposed innovation out of the laboratory into real-world systems. Regarding the knowledge gap, research will equip the neural-network control innovation with modules that can support the inverter operation to meet various grid needs. Regarding the technical barrier, research will be performed in this project to enable the developed neural network inverter to satisfy the industry standards. The expected results include prototypes that can be applied to practical electric utility systems and AI-driven inverter technology that can meet strict reliability requirements of the electric power industry. The commercialization plan consists of a set of guided technology assessments and staged milestones with industry partners on commercial potential and business plan iteration.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.

这种伙伴关系对创新 - 研究合作伙伴关系（PFI -RP）项目的更广泛的影响/广告是增加可再生能源的可靠产生，并提高构造能力网格的可再生能源。这些资源的能源生产。供应美国的房屋和企业。该项目是一项建议知识差距将以前的神经网络概论扩展到实用的网格 - 遵循和网格形成的应用程序，以支持基于逆变器的网格和独立条件的基于逆变器的资源。控制逆变器的逆变器操作符合技术障碍。 - 驱动的逆变器技术可以符合电力行业的RICT RICT RERIBIREMENT。基金会的智力优点和更广泛的影响审查标准。

项目成果

Control and Operation Evaluation of Grid-Forming Inverters with L, LC, and LCL Filters

带 L、LC 和 LCL 滤波器的并网逆变器的控制和运行评估

• DOI: 10.1109/pesgm52003.2023.10253060
• 发表时间: 2023
• 期刊: 2023 IEEE Power & Energy Society General Meeting (PESGM
• 作者: Nurunnabi, Md;Li, Shuhui;Das, Himadry Shekhar
• 通讯作者: Das, Himadry Shekhar

Grid Interconnection Modeling of Inverter Based Resources (IBR) Plant for Transient Analysis

• DOI: 10.3390/en16073211
• 发表时间: 2023-04
• 期刊: Energies
• 影响因子: 3.2
• 作者: H. Das;Shuhui Li;Shahinur Rahman

Performance Evolution of Combined Grid-Forming and Grid-Following Inverters with Different Filtering Mechanisms

具有不同滤波机制的并网与并网组合逆变器的性能演变

• DOI: 10.23919/icpe2023-ecceasia54778.2023.10213884
• 发表时间: 2023
• 期刊: 2023 11th International Conference on Power Electronics and ECCE Asia (ICPE 2023 - ECCE Asia
• 作者: Nurunnabi, Md;Li, Shuhui;Mondal, Hahnemann;Hong, Yang-Ki;Choi, Minyeong;Won, Hoyun
• 通讯作者: Won, Hoyun

Exploring Dynamic P-Q Capability and Abnormal Operations Associated with PMSG Wind Turbines

• DOI: 10.3390/en16104116
• 发表时间: 2023-05
• 期刊: Energies
• 影响因子: 3.2
• 作者: Shahinur Rahman;Shuhui Li;H. Das;Xingang Fu;H. Won;Yang-Ki Hong

A Comprehensive P-Q Capability Study for Grid Interconnection of Inverter Based Resources Plant

基于逆变器的资源电厂并网综合P-Q能力研究

• DOI: 10.1109/ias54024.2023.10406385
• 发表时间: 2023
• 期刊: 2023 IEEE Industry Applications Society Annual Meeting (IAS
• 作者: Rahman, Shahinur;Li, Shuhui;Das, Himadry Shekhar
• 通讯作者: Das, Himadry Shekhar