Modern power systems have evolved into intrinsically heterogeneous supervisory environments in which only converter‑based resources and digitally supervised plants expose their internal operational semantics, while synchronous machines, passive network elements, and protection devices remain electrically visible yet semantically silent. This structural asymmetry prevents the emergence of a coherent supervisory layer, for system‑level behaviour must be inferred from electrical measurements rather than from the identity‑level descriptors that govern converter behaviour. We introduce the Supervisory Semantics Model (SSM 1.0), a unifying framework that treats converters as semantic anchors and interpolates supervisory meaning across identity‑silent nodes using electrical evolution, protection operations, and topological constraints, thereby creating a machine‑readable supervisory fabric without altering the underlying physical, electrical, or control layers. The scope of SSM 1.0 is intentionally limited to the conceptual and structural layer: it does not prescribe control actions, protection settings, communication protocols, or implementation pathways. Its novelty lies in providing a machine‑readable supervisory vocabulary that unifies the explicit semantics of converter‑based resources with the electrically inferred behaviour of identity‑silent nodes. The model is therefore complementary to existing coordination and interoperability frameworks rather than a replacement for them. Applying SSM to the Iberia–France 2025 disturbance reveals that the event was not merely an electrical anomaly but a supervisory failure in which the absence of semantic continuity across heterogeneous fleets prevented coordinated constrained support, synchronised ride‑through, and orderly recovery. A counterfactual reconstruction shows that the semantic information emitted by converters alone would have been sufficient to prevent the disturbance had a supervisory layer existed to interpret and act upon it. The contribution of this work is therefore not the introduction of an additional coordination mechanism but the identification and formalisation of the supervisory asymmetry that defines modern grids and the demonstration that SSM provides a structurally coherent interpretive framework—rather than a numerical reconstruction—for understanding system behaviour in environments where semantic content is unevenly distributed. The Supervisory Semantics Model presented herein reflects SSM 1.0, intentionally used as the minimal introductory formulation suitable for scientific disclosure. A more advanced version, SSM 2.0, has already been filed within the same IP family. References to SSM in this article concern only the conceptual and structural aspects necessary for academic exposition and do not disclose implementation details or operational specifications. This work incorporates concepts that are part of protected intellectual property, corresponding to Patent Pending: GB2608001.0, GB2608128.1, and subsequent filings including cross-industry applications. Intellectual Property Notice © 2026 Thomas Filsecker. All rights reserved. The methods, systems, and protocols described in this work are the subject of pending patent applications, including GB2608001.0, GB2608128.1, and subsequent filings including cross-industry applications. No licence—express or implied—is granted for any implementation, whether commercial or non‑commercial, of any method, system, or protocol described herein. This work is made available solely for academic reading, citation, and non‑commercial scholarly analysis. Any implementation, operationalisation, or derivative application requires prior written permission from the author.
Thomas Filsecker (Sun,) studied this question.