RII Track-1: The New Mexico SMART Grid Center: Sustainable, Modular, Adaptive, Resilient, and Transactive

RII Track-1：新墨西哥州智能电网中心：可持续、模块化、自适应、弹性和交互

• 批准号: 1757207
• 负责人: Ganesh Balakrishnan
• 金额: $ 2000万
• 依托单位: University of New Mexico
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1757207&HistoricalAwards=false
• 关键词: RII; Track; New; Mexico; SMART

Non-technical DescriptionThe American power grid requires modernization to serve the increased electrical needs of the public. The goal of this project is to create a new interdisciplinary research center leading to a Sustainable, Modular, Adaptive, Resilient, and Transactive (SMART) next-generation electric grid. NM EPSCoR will establish a SMART Grid Center to address the power, communication, and control needs of the electrical distribution network. The goal is to provide consumers the ability to decide how to generate, store, and manage energy on the existing electricity distribution infrastructure. The Center will align with the New Mexico State Science & Technology Plan?s focus on technology development to ensure energy stability, security, resilience, and sustainability for the State. It will also support the development of a well-trained STEM workforce for New Mexico, the hiring and retention of new faculty, and an increase in diversity at all levels.Technical DescriptionThe New Mexico SMART Grid Center will transform the existing electricity distribution infrastructure by holistically incorporating microgrid optimization, operations optimization, microgrid controls, and tariff and customer behavior in the design and demonstration of interconnected Distribution Feeder Microgrids (DFMs). With simulation studies and field validations, the research team aims to demonstrate that the DFM-based architecture: 1) is optimally suited to sustainably accommodate the emerging trends in electricity generation, storage, and utilization; 2) is flexible and can be adapted to various geographic and socioeconomic conditions; 3) can be interwoven with a secure and robust communications and controls infrastructure; 4) is more resilient than alternative options; and 5) enables new business models and continued innovation in the delivery of energy services. Building on existing expertise and infrastructures, the SMART Grid Center will develop new technologies, protocols, models, and algorithms for the future electric grid that can be broadly applied to future socio-cyber-physical systems, the Internet-of-Things, smart cities research and deployments, big data applications, and coordination in multi-agent systems. This project will coalesce ongoing independent studies and field validations across New Mexico under a unified, well-integrated, interdisciplinary program that includes academia, national laboratories, and industry.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.

美国电网需要现代化，以满足公众日益增长的电力需求。该项目的目标是创建一个新的跨学科研究中心，以实现可持续，模块化，自适应，弹性和交互（SMART）的下一代电网。NM EPSCoR将建立一个智能电网中心，以满足配电网的电力、通信和控制需求。其目标是让消费者能够决定如何在现有的配电基础设施上发电、储存和管理能源。该中心将与新墨西哥州国家科学技术计划保持一致？政府将重点放在技术开发上，以确保国家的能源稳定性，安全性，弹性和可持续性。它还将支持为新墨西哥州培养训练有素的STEM劳动力、雇用和留住新教师以及增加各级多样性。技术描述新墨西哥州智能电网中心将通过全面整合微电网优化、运营优化、微电网控制、以及互联配电馈线微电网（DFM）的设计和演示中的费率和客户行为。通过模拟研究和现场验证，研究团队旨在证明基于DFM的架构：1）最适合可持续地适应发电，存储和利用的新兴趋势; 2）灵活，可以适应各种地理和社会经济条件; 3）可以与安全可靠的通信和控制基础设施交织在一起。4）比其他选择更具弹性; 5）在提供能源服务方面实现新的商业模式和持续创新。在现有专业知识和基础设施的基础上，智能电网中心将为未来电网开发新技术、协议、模型和算法，这些技术、协议、模型和算法可广泛应用于未来的社会网络物理系统、物联网、智能城市研究和部署、大数据应用以及多智能体系统的协调。该项目将把正在进行的独立研究和整个新墨西哥州的实地验证结合在一个统一的、整合良好的、跨学科的项目下，该项目包括学术界、国家实验室和工业界。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

项目成果

Adaptive control and management of multiple nano‐grids in an islanded dc microgrid system

孤岛直流微电网系统中多个纳米电网的自适应控制和管理

• DOI: 10.1049/gtd2.12556
• 发表时间: 2023
• 期刊: Transmission & Distribution
• 作者: Abadi, Seyyed Ali;Khalili, Tohid;Habibi, Seyed Iman;Bidram, Ali;Guerrero, Joseph M.
• 通讯作者: Guerrero, Joseph M.

Answer Set Planning: A Survey

• DOI: 10.1017/s1471068422000072
• 发表时间: 2022-02
• 期刊: Theory Pract. Log. Program.
• 作者: Tran Cao Son;Enrico Pontelli;M. Balduccini;Torsten Schaub

On the Design of Generalized LDPC codes with Component BCJR Decoding

分量BCJR译码的广义LDPC码设计

• 发表时间: 2020
• 期刊: IEEE Global Communications Conference
• 作者: Liu, Y.;Olmos, P. M.;Mitchell, D.
• 通讯作者: Mitchell, D.

Key words related to public engagement with science by Society of Freshwater Science journals and conference sessions (1997-2019)

淡水科学学会期刊和会议与公众参与科学相关的关键词（1997-2019）

• DOI: 10.5061/dryad.nk98sf7sv
• 发表时间: 2021
• 期刊: Dryad
• 作者: Burdett, Ayesha S.;O’Reilly, Katherine E.;Bixby, Rebecca J.;Connealy, Selena S.
• 通讯作者: Connealy, Selena S.

R-VLCP: Channel Modeling and Simulation in Retroreflective Visible Light Communication and Positioning Systems

• DOI: 10.1109/jiot.2023.3245096
• 发表时间: 2023-07
• 期刊: IEEE Internet of Things Journal
• 影响因子: 10.6
• 作者: Sihua Shao;A. Salustri;Abdallah Khreishah;Chenren Xu;Shuai Ma