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App Deconfliction: Orchestrating Distributed, Multi-Agent, Multi-Objective Operations for Power Systems

delete2023-01-01
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OA
AI
A
Andrew P. Reiman
S
Shiva Poudel *
M
Monish Mukherjee
A
Alexander Anderson
O
Orestis Vasios
T
Tylor Slay
G
Gary D. Black
A
Anamika Dubey
J
James Ogle
DOI:10.1109/ACCESS.2023.3269422delete
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摘要

摘要

En 中文
Advanced distribution systems need to integrate and orchestrate intelligent subsystems and grid-edge devices that are increasing both in number and sophistication while also serving multiple system-level objectives such as resilience, decarbonization, equity, and profitability. A modular platform-based approach to distribution system operations technology enables operators to deploy a tailored set of best-of-breed algorithms and applications. Combined with the parallel deployment and control of intelligent grid-edge and internet of things devices, this creates a complex distributed-control environment with applications that span ownership boundaries. Conflicts can emerge between applications that want to control overlapping sets of device setpoints. We propose a formalized approach to resolving these conflicts that can be applied when integrating new algorithms or developing customized solutions. A Deconfliction Pipeline is inserted between the device-controlling applications and the device protocol converter, which transmits control setpoints from the operations platform to the devices. The Deconfliction Pipeline executes a process that sets up, solves, and acts on a formally defined deconfliction problem. The deconfliction problem can be solved using a combination of rules and heuristics, application engagement, and optimization. We demonstrate how a few of the most basic solution strategies can be used to orchestrate harmonious behavior between a pair of simple applications with conflicting greedy optimization objectives.
Keyword:
Optimization
Resilience
Pipelines
Behavioral sciences
Power system management
Profitability
Low-carbon economy
Power distribution
Advanced distribution operations
power system management
solution design
system architecture

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

P
Pacific Northwest National Laboratory
学者数:
9.0K
论文数: 6.3K
被引数: 14
U
united states department of energy (doe)
学者数:
11.3W
论文数: 9.6W
被引数: 246
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