IEEE Access (Jan 2023)

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

  • Andrew P. Reiman,
  • Shiva Poudel,
  • Monish Mukherjee,
  • Alexander A. Anderson,
  • Orestis Vasios,
  • Tylor E. Slay,
  • Gary D. Black,
  • Anamika Dubey,
  • James P. Ogle

DOI
https://doi.org/10.1109/ACCESS.2023.3269422
Journal volume & issue
Vol. 11
pp. 40314 – 40327

Abstract

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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.

Keywords