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arXiv · 2604.09823

Agentic Workflows for Resolving Conflict Over Shared Resources: A Power Grid Application

Shiva Poudel·Thiagarajan Ramachandran·Orestis Vasios·Andrew P. Reiman
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Abstract

The increasing use of LLM-based agents to support decision-making and control across diverse domains motivates the need for systematic deconfliction of their proposed actions. We present a deconfliction framework for coordinating multiple agents that formally encapsulate individual applications, each proposing potentially conflicting actions over shared resources. Conflicts are resolved through three deconfliction modes: bilateral negotiation, structured mediation, and procedural (deterministic) deconfliction. We define design principles for large language model-based client agents, including a chain-of-thought style reasoning process, and introduce an iterative weighted-consensus mechanism that does not require the applications themselves to solve optimization problems. The framework is domain agnostic and supports both numeric and non-numeric decisions. Its performance is demonstrated on a power distribution use case with conflicting advanced distribution management system applications for cost optimization and resilience, coordinating diesel generators and battery energy storage systems.

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Shiva Poudel, Thiagarajan Ramachandran, Orestis Vasios, Andrew P. Reiman. 2026-04-10. Agentic Workflows for Resolving Conflict Over Shared Resources: A Power Grid Application. https://arxiv.org/abs/2604.09823

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