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title: "Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids — Stuff That Spins"
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date: "2026-07-08T04:00:00+00:00"
modified: "2026-07-08T06:04:17.984268+00:00"
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# Federated Physics-Grounded Reinforcement Learning for Distributed Stability Control in Smart Grids

**Source:** Unknown  
**Published:** July 8, 2026  
**Original:** https://arxiv.org/abs/2607.05553  

## On this page

- [Overview](#overview)

<a id="overview"></a>

## Overview

arXiv:2607.05553v1 Announce Type: new Abstract: Transient stability control in smart grids requires rapid post-fault damping of generator frequency and rotor angle deviations to prevent cascading failures. This paper proposes FedPPO-PG, a Federated Multi-Agent Proximal Policy Optimization framework with Physics-Grounded neighborhoods, which reformulates transient stability control as a cooperative multi-agent reinforcement learning problem optimized directly against closed-loop stability objecti

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