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| Autor principal: | |
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| Formato: | Recurso digital |
| Idioma: | inglês |
| Publicado em: |
Zenodo
2026
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| Assuntos: | |
| Acesso em linha: | https://doi.org/10.5281/zenodo.19792359 |
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Sumário:
- <p>This paper introduces Coherence-Optimized Control (COC), a model-free, geometry-grounded framework for renewable microgrid energy management. By shifting the control objective from instantaneous efficiency optimization to "Curvature Minimization" within a dynamically adaptive Stability Basin, the framework addresses the structural failure modes of off-grid systems in resource-constrained environments. COC governs system operation through a dual-layer architecture (Reflex and Cortex) that eliminates the need for plant model identification or disturbance forecasting. Simulations demonstrate that COC reduces battery degradation by up to 3.3× while maintaining O(1) computational complexity, making it a dominant strategy for off-grid deployments in model-uncertain environments.</p>