Coherence-Optimized Control for Off-Grid Microgrids: A Model-Free Stability Basin Framework
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2026
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| _version_ | 1866901806523613184 |
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| author | Ahmed, Md Sakib |
| author_facet | Ahmed, Md Sakib |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19792359 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Coherence-Optimized Control for Off-Grid Microgrids: A Model-Free Stability Basin Framework Ahmed, Md Sakib Microgrid Control Battery Management Systems Stability Basin Model-Free Control Renewable Energy Frugal Innovation Stochastic Geometry <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> |
| title | Coherence-Optimized Control for Off-Grid Microgrids: A Model-Free Stability Basin Framework |
| topic | Microgrid Control Battery Management Systems Stability Basin Model-Free Control Renewable Energy Frugal Innovation Stochastic Geometry |
| url | https://doi.org/10.5281/zenodo.19792359 |