Research goal: Design a holistic, scalable Distribution Feeder Microgrid (DFM) networking architecture based on the principles of information-centric networking, which will complement the DFM architecture from the Architecture Research Goal.

Disciplines involved: Computer Science, Electrical & Computer Engineering

Team leads: Jay Misra (NMSU), Jun Zheng (NM Tech), Michael Devetsikiotis (UNM)

Institutions: University of New Mexico, New Mexico State University, New Mexico Institute of Mining & Technology, Sandia National Laboratories

Research goal: Integrate machine learning, data mining, knowledge-based, and other artificial intelligence techniques to utilize heterogeneous Distribution Feeder Microgrid and smart grid data to make computer-aided and automatic decisions.

Disciplines involved: Computer Science, Electrical & Computer Engineering, Industrial Engineering

Team leads: Huiping Cao (NMSU), Enrico Pontelli (NMSU), Abdullah Mueen (UNM), Manel Martínez-Ramón (UNM)

Institutions: University of New Mexico, New Mexico State University, Sandia National Laboratories

Research goal: Integrate architecture, networking, and decision-support components of the Distribution Feeder Microgrid to test and validate their impacts on electricity system resilience and sustainability.

Our Testbeds:

• Mesa del Sol
• Southwest Technology Development Institute
• Santa Fe Community College

Disciplines involved: Mechanical Engineering, Computer Science, Electrical & Computer Engineering, Industrial Engineering, Economics

Team leads: Ali Bidram (UNM), Enrico Pontelli (NMSU), Jun Zheng (NM Tech)

Institutions: University of New Mexico, New Mexico State University, New Mexico Institute of Mining & Technology, Sandia National Laboratories, Los Alamos National Laboratory, Microgrid Systems Laboratory

Goal: Provide sufficient computing and storage/preservation capacity to support NM SMART Grid Center research.

Investments at New Mexico State University (NMSU) include: a High Performance Computing (HPC) system with 4 P100-G12 GPU nodes for computing, 2 high memory nodes (3 TB RAM) for data analysis, 110 TBs for fast storage, and 500 TBs for slower storage. NM SMART Center participants have priority access to HPC cyberinfrastructure resources.

Investments at UNM include 80 TBs/VM for mirroring and storing frequently-used data, and long-term data management support through LibSafe, Digital Preservation Network, and Digital Commons.

Team Leads:
Diana Dugas (NMSU), Patrick Bridges (UNM), Karl Benedict (UNM), Jon Wheeler (UNM)