Award Abstract # 1757207
RII Track-1: The New Mexico SMART Grid Center: Sustainable, Modular, Adaptive, Resilient, and Transactive

NSF Org: OIA
OIA-Office of Integrative Activities
Recipient: UNIVERSITY OF NEW MEXICO
Initial Amendment Date: September 14, 2018
Latest Amendment Date: February 16, 2024
Award Number: 1757207
Award Instrument: Cooperative Agreement
Program Manager: Chinonye Nnakwe
cwhitley@nsf.gov
 (703)292-8458
OIA
 OIA-Office of Integrative Activities
O/D
 Office Of The Director
Start Date: September 15, 2018
End Date: August 31, 2024 (Estimated)
Total Intended Award Amount: $20,000,000.00
Total Awarded Amount to Date: $20,000,000.00
Funds Obligated to Date: FY 2018 = $3,933,361.00
FY 2019 = $8,200,305.00

FY 2020 = $4,098,150.00

FY 2022 = $3,768,184.00
History of Investigator:
  • Ganesh Balakrishnan (Principal Investigator)
    gunny@unm.edu
  • Selena Connealy (Co-Principal Investigator)
  • William Michener (Former Principal Investigator)
  • Anne Jakle (Former Co-Principal Investigator)
Recipient Sponsored Research Office: University of New Mexico
1 UNIVERSITY OF NEW MEXICO
ALBUQUERQUE
NM  US  87131-0001
(505)277-4186
Sponsor Congressional District: 01
Primary Place of Performance: The Regents of the University of New Mexico
1312 Basehart SE - MSC04 2815
Albuquerque
NM  US  87131-0001
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): F6XLTRUQJEN4
Parent UEI:
NSF Program(s): EPSCoR RII: Track-1,
EPSCoR Research Infrastructure
Primary Program Source: 01002223DB NSF RESEARCH & RELATED ACTIVIT
01001819DB NSF RESEARCH & RELATED ACTIVIT

01001920DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT

01002122DB NSF RESEARCH & RELATED ACTIVIT

01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7715, 9150, SMET
Program Element Code(s): 193Y00, 721700
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.083

ABSTRACT

Non-technical Description

The 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 Description

The 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.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 210)
Abadi, Seyyed Ali and Khalili, Tohid and Habibi, Seyed Iman and Bidram, Ali and Guerrero, Joseph M. "Adaptive control and management of multiple nanogrids in an islanded dc microgrid system" IET Generation, Transmission & Distribution , v.17 , 2023 https://doi.org/10.1049/gtd2.12556 Citation Details
Ajith, Meenu and Martรญnez-Ramรณn, Manel "Deep learning algorithms for very short term solar irradiance forecasting: A survey" Renewable and Sustainable Energy Reviews , v.182 , 2023 https://doi.org/10.1016/j.rser.2023.113362 Citation Details
Ajith, Meenu and Martรญnez-Ramรณn, Manel "Deep learning based solar radiation micro forecast by fusion of infrared cloud images and radiation data" Applied Energy , v.294 , 2021 https://doi.org/10.1016/j.apenergy.2021.117014 Citation Details
Akbari-Dibavar, Alireza and Mohammadi-ivatloo, Behnam and Zare, Kazem and Khalili, Tohid and Bidram, Ali "Economic-Emission Dispatch Problem in Power Systems with Carbon Capture Power Plants" IEEE Transactions on Industry Applications , 2021 https://doi.org/10.1109/tia.2021.3079329 Citation Details
Akbari-Dibavar, Alireza and Mohammadi-Ivatloo, Behnam and Zare, Kazem and Khalili, Tohid and Bidram, Ali "Stochastic Multi-objective Low-Carbon Generation Dispatch Considering Carbon Capture Plants" IEEE Industry Applications Society Annual Meeting , 2020 https://doi.org/10.1109/IAS44978.2020.9334846 Citation Details
Albelaihi, Rana and Sun, Xiang and Craft, Warren D. and Yu, Liangkun and Wang, Chonggang "Adaptive Participant Selection in Heterogeneous Federated Learning" 2021 IEEE Global Communications Conference (GLOBECOM) , 2021 https://doi.org/10.1109/GLOBECOM46510.2021.9685077 Citation Details
Alenezi, Ali H. and Nazzal, Mahmoud and Sawalmeh, Ahmed and Khreishah, Abdallah and Shao, Sihua and Almutiry, Muhannad "Machine learning regression-based RETRO-VLP for real-time and stabilized indoor positioning" Cluster Computing , 2022 https://doi.org/10.1007/s10586-022-03884-w Citation Details
Al-Silefanee, Rebean Ramadhan and Mamkhezri, Jamal and Khezri, Mohsen and Karimi, Mohammad Sharif and Khan, Yousaf Ali "Effect of Islamic Financial Development on Carbon Emissions: A Spatial Econometric Analysis" Frontiers in Environmental Science , v.10 , 2022 https://doi.org/10.3389/fenvs.2022.850273 Citation Details
AmeOko, Agaba and Lavrova, Olga "Mitigation of limitation imposed on hosting capacity in low voltage networks by their distribution transformer loading and degradation considerations" IET Energy Systems Integration , v.6 , 2024 https://doi.org/10.1049/esi2.12143 Citation Details
Arzo, Sisay Tadesse and Akhavan, Zeinab and Esmaeili, Mona and Devetsikiotis, Michael and Granelli, Fabrizio "Multi-Agent-Based Traffic Prediction and Traffic Classification for Autonomic Network Management Systems for Future Networks" Future Internet , v.14 , 2022 https://doi.org/10.3390/fi14080230 Citation Details
Arzo, Sisay Tadesse and Esmaeili, Mona and Worku, Yonatan Melese and Akhavan, Zeinab and Devetsikiotis, Michael and Zarkesh-Ha, Payman "Proactive and Reactive Decision Based Agent Placement: Reliability and Latency Perspective" GLOBECOM 2022 - 2022 IEEE Global Communications Conference , 2022 https://doi.org/10.1109/globecom48099.2022.10001516 Citation Details
(Showing: 1 - 10 of 210)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The New Mexico SMART Grid Center (SMART Grid Center) investigated the fundamental challenges to transform existing electricity transmission and distributed energy infrastructure into a SMART (Sustainable, Modular, Adaptive, Resilient, Transactive) grid. Our mission was accomplished by developing research capacity and education programs to support a modern electricity grid, building on the principles of Distribution Feeder Microgrids with a focus on architecture, networking, decision-support, and deployment, and by empowering a future workforce through industry partnership, education, and public outreach. Primary project partners included: University of New Mexico (UNM), New Mexico State University (NMSU), New Mexico Tech (NMT), Santa Fe Community College (SFCC), and Explora Science Center (Explora).  

The SMART Grid Center reported significant outputs and outcomes in the following areas:

Research Competitiveness. Project investigators garnered more than $108 million in extramural funding. Five project-supported faculty received NSF CAREER Awards. NM EPSCoR hosted two cohorts of early career trainees (postdocs and early career faculty) for three-day workshops covering professional and project management skills, and one cohort of postdocs who gained sci comm competencies. NM EPSCoR State Office hosted webinars about the EPSCoR Fellowship program and mentored applicants; a record number of 7 Fellowships were awarded in 2024. 

Education and Workforce Development. A total of 117 graduate students, 79 undergraduate students, and 9 postdoctoral scholars were supported through the project. More than 400 people participated in intensive workshops in Data Carpentry, Library Carpentry, or Software Carpentry; 43 Carpentry instructors were trained. Santa Fe Community College created two new certificates and four courses to train smart and microgrid professionals. 

Broadening Participation. Of the 293 project participants, 50% identified as female or from an underrepresented minority group. Seventy-nine percent of students from our summer undergraduate research program identified as female or from an underrepresented minority group. More than 20,000 people were reached through outreach activities, and 47 educational toolkits were distributed to teachers, educators, and librarians across New Mexico. 

Communication and Dissemination. Project partners published more than 230 peer-reviewed publications in 178 journals. Outreach partner Explora hosted 27 Meet-a-Scientist events for middle and high school students. The Empower New Mexico Communities Town Hall engaged a diverse group of stakeholders to develop 11 recommendations for an equitable energy transition in New Mexico, some of which resulted in legislation and funding in 2024. 

Research Infrastructure. Nine new faculty were hired to work on SMART Grid research and education across four different institutions (NMT, NMSU, SFCC, and UNM). Infrastructure investments in the Mesa del Sol microgrid (UNM) and the IDEAL Center (NMSU) will provide robust testbeds for future research. Fourteen seed awards were made to investigators at six different institutions.


Last Modified: 11/25/2024
Modified by: Selena Connealy

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