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

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-ba...

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Published inIEEE access Vol. 11; pp. 40314 - 40327
Main Authors Reiman, Andrew P., Poudel, Shiva, Mukherjee, Monish, Anderson, Alexander A., Vasios, Orestis, Slay, Tylor E., Black, Gary D., Dubey, Anamika, Ogle, James P.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Institute of Electrical and Electronics Engineers
Subjects
Advanced distribution operations
Algorithms
Behavioral sciences
Internet of Things
Low-carbon economy
Multiagent systems
Optimization
Pipelines
Power distribution
Power system management
Profitability
Resilience
solution design
Subsystems
system architecture
Online AccessGet full text
ISSN2169-3536
2169-3536
DOI10.1109/ACCESS.2023.3269422

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Abstract 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.
AbstractList 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.
Author Reiman, Andrew P.
Slay, Tylor E.
Mukherjee, Monish
Vasios, Orestis
Ogle, James P.
Dubey, Anamika
Black, Gary D.
Poudel, Shiva
Anderson, Alexander A.
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SubjectTerms Advanced distribution operations
Algorithms
Behavioral sciences
Internet of Things
Low-carbon economy
Multiagent systems
Optimization
Pipelines
Power distribution
Power system management
Profitability
Resilience
solution design
Subsystems
system architecture
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Title App Deconfliction: Orchestrating Distributed, Multi-Agent, Multi-Objective Operations for Power Systems
URI https://ieeexplore.ieee.org/document/10107708
https://www.proquest.com/docview/2807129670
https://www.osti.gov/biblio/1971682
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