Grid Management via Geometry: A 2025 Framework for Phase-Coherent, Low-Entropy Grid Operation
Grid Management via Geometry: A 2025 Framework for Phase-Coherent, Low-Entropy Grid Operation presents a unified geometric model for improving stability, efficiency, and thermal performance of existing 2025 transmission and distribution systems — without requiring new hardware and without altering legacy topology. The work introduces a mathematically explicit loss law based on phase-alignment deviation, E_{\text{loss}} = k \, |\sin(\Delta\theta / 2)|, which models how switching misalignment injects energy into negative- and zero-sequence components rather than productive work. This geometric formulation is paired with a complementary asymmetry metric, \Delta_{\text{asym}} = \sqrt{I_0^2 + I_1^2 + I_2^2}, enabling quantitative prediction of entropy introduced by breakers, regulators, inverters, VFDs, and grounding discontinuities. The thesis reframes grid operation as a symmetry-management problem: physical equipment, operational logic, and decision-making must be aligned in the same geometric frame. Sections on phase-aligned timing and grounding geometry outline practical, low-cost adjustments capable of reducing $I^2R$ losses, moderating transformer hot-spot temperatures, and decreasing neutral-to-earth excursions. Additional behavioral and operational guidance demonstrates how utilities and customers can coordinate to reduce entropy at both supply and demand nodes. A dedicated results section summarizes representative substation-feeder modeling, illustrating the measurable impact of improved geometric discipline under realistic loading and fault conditions. The framework is released freely for public use so utilities, operators, researchers, and engineers may replicate, extend, or implement the principles in real grid environments. Additional Mathmatics and Resources can be viewed at: FUNt Physmatics Encyclopedia - " PHYSMATICS" — PHYSICS revealed through MATHMATICS, not dogma. https://doi.org/10.5281/zenodo.17676809
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-28
- DOI
- https://doi.org/10.5281/zenodo.17753397
- Primary Topic
- Optimal Power Flow Distribution
- Type
- article
- Field-Weighted Citation Impact
- 0.00