IEEE Power & Energy Magazine - Grid Edge 2023 - 18

hot and cold weather in 2021 strongly approving fact that
need for increased flexibility at electricity delivery. Datadriven
techniques and advanced operation and control
technologies provide unique opportunities to leverage the
grid edge resources including distributed energy resources
(DER), electric vehicles, controllable loads, and nano grids.
This panel focuses on modern solutions centered around
grid edge resources to address the operational challenges
of the grid during abnormal events. Moreover, distinct panelists
from Industry, research organizations, and academia
disseminate knowledge gained from recent studies conducted
in offline, real-time, and field settings to defend the
distribution system against adverse weather events.
* 23GET0185, Data-driven techniques to increase load
flexibility
A. SABER, ETAP
* 23GET0186, Dynamic line ratings to foster DER adoption
G. HUFFMAN , Burns & McDonnell
* 23GET0187, Aggregated services of nano grids with customer
end resources at utility scale
M. KEZUNOVIC, Texas A&M University
* 23GET0188, Testing and validation of edge resourcesbased
grid services
R. HOVSAPIAN, National Renewable Energy Laboratory
(NREL)
* 23GET0189, Field case studies of grid-edge resources:
Monitoring, Control, and Applications
D. VISHWAKARMA, L&T PT&D Digital Solutions
A Disruptive Grid-Edge Technology for Reliability and
Resiliency Enhancement: Mobile and Transportable
Energy Storage Systems (Panel Session)
Session Chair: Shadi Chuangpishit, Quanta Technology
Reliability and resilience of energy supply has become a
critical industry topic due to more extreme and frequent
weather conditions and further electrification of energy
consumers. The reliability/resilience issues are mostly
locational and seasonal and dealing with them requires
flexible energy resources. This panel is proposed as part
of ongoing " Industry Connection Activities for mobile and
transportation energy storage systems, sponsored by IEEE
standards association and supported by IEEE Transportation
Electrification Community (TEC) (https://standards.
ieee.org/industry-connections/mobile-and-transportableenergy-storage-systems-technology-readiness-safetyand-operation/).
The panel will include presentations and
panelist that will discuss industry trends towards adaptation
of new mobile technologies with flexible interconnection
point to the grid. The key focus of the panel will be
on the business case for mobile and transportable ESS and
how it compares to stationary ESS solutions and mobile
diesel generator for outage management use cases. The
18
ieee power & energy magazine
impacts of mobile technology adaptation will be discussed
for outage recovery and system preparedness during
extreme weather conditions.
* 23GET0190, From Stationary to Mobile Energy Storage
Systems-Standardization & Operational Considerations
F. KATIRAEI, Quanta Technology
* 23GET0191, Utility scale use cases on transportable and
mobile energy storage
J. SUMA, EPRI
* 23GET0192, Mobile Battery Energy Storage Systems -
Benefits, Use Cases, and Applications
S. LOMELI, SDG&E
* 23GET0193, A Disruptive Grid-Edge Technology for
Reliability and Resiliency Enhancement: Mobile and Transportable
Energy Storage Systems
J. HOLMES, Honda
* 23GET0194, A Disruptive Grid-Edge Technology for
Reliability and Resiliency Enhancement: Mobile and Transportable
Energy Storage Systems
M. MCVEY, Dominion Energy
5G-enabled Grid Edge for immersive AI applications
(Panel Session)
Sponsored By: IEEE PES Grid Edge Technologies
Conference
Session Chair: Xiaoyuan Fan, Pacific Northwest National
Laboratory
5G enables new architectures and frameworks that support
a dynamic, near real-time, end-to-end fabric to
assist critical infrastructure operation in a continuously
evolving envi ronment. Embracing 5G technologies
bridges the gap between energy stakeholders and computing/ML
resources to enhance grid asset management
through cohesive data integration and intelligent analytics.
In this panel session, we present a series of successful
stories, R&D efforts, pilot projects, and visions from
broader industrial members, electric research institutes,
and national labs, about the applications of data analytics
and machine learning for distributed and decentralized
decisions and control, that is, at grid edge. Our ultimate
goal of this panel session is to connect cutting-edge data
analytics and machine learning theories to real-world
problems, and show the pathway for artificial intelligence-based
technology landing to address challenges in
the process of grid decarbonization.
* 23GET0195, 5G Energy FRAME and Advanced Wireless
Communication at PNNL
X. FAN, Pacific Northwest National Laboratory
* 23GET0196, 5G Smart Grid Applications, Challenges,
and Opportunities
M. SUBIETA, Nokia
April 2023 Show Issue

https://standards.ieee.org/industry-connections/mobile-and-transportable-energy-storage-systems-technology-readiness-safety-and-operation/ https://standards.ieee.org/industry-connections/mobile-and-transportable-energy-storage-systems-technology-readiness-safety-and-operation/ https://standards.ieee.org/industry-connections/mobile-and-transportable-energy-storage-systems-technology-readiness-safety-and-operation/ https://standards.ieee.org/industry-connections/mobile-and-transportable-energy-storage-systems-technology-readiness-safety-and-operation/

IEEE Power & Energy Magazine - Grid Edge 2023

Table of Contents for the Digital Edition of IEEE Power & Energy Magazine - Grid Edge 2023