CORTEXA
← Browse
arxiveess.SYmath.OC2026-07-09

Robust Dynamic Operating Envelopes in Unbalanced Three-Phase Distribution Systems

Wilhiam de Carvalho, Florin Capitanescu, Cyril Rasic, Jean-François Toubeau, François Vallée

This paper proposes a robust optimization formulation to calculate dynamic operating envelopes (DOEs) to safely operate unbalanced three-phase distribution systems. Unlike conventional formulations that satisfy network constraints only at the envelope bound, the robust formulation covers the entire envelope range. We formulate a robust non-linear programming (NLP) problem with the full AC power flow equations, as well as an approximate linear programming (LP) model. Numerical simulations are run with real-world data from Belgium and two different distribution test feeders. The paper compares the conventional approaches with their robust counterparts and examines the trade-off between constraint violation and envelope size as well as accuracy and solve time aspects.

View free PDFSource page

Related papers

arxivmath.OCeess.SY2026-07-01

Computationally Efficient Near-Optimal Control for Current Ripple Reduction and Optimization of Three-Phase Motors via LMIs

Huu-Thinh Do, Trung B. Tran, Jing Sun, Ilya Kolmanovsky

The optimal control of three-phase permanent-magnet synchronous motors (PMSMs) is challenging due to their nonlinearity and the discrete nature of the control set. Existing approaches either rely on mixed-integer trajectory optimization or require computationally intensive value-…

View free PDFSource page
arxiveess.SYcs.LGmath.OC2026-07-10

Robustly Invertible Nonlinear Dynamics and the BiLipREN: From Inversion-Based Control to Generative Trajectory Modelling

Yurui Zhang, Ruigang Wang, Ian R. Manchester

This paper proposes a new notion of robust invertibility for nonlinear dynamical systems, and introduces constructive parameterizations of recurrent neural network which are robustly invertible by design. We define robust invertibility as the existence of a causal inverse system…

View free PDFSource page
arxivmath.OCeess.SY2026-07-17

Smoothed Two-Stage Decomposition Algorithm for Solving Large-Scale Transmission and Distribution AC-OPF Problems

Juan Ospina, Manuel Garcia, Xinyi Luo, Andreas Wachter, David M. Fobes, Russell Bent

The integration of distributed energy resources (DERs) into the power grid has introduced new challenges to AC optimal power flow (AC-OPF) problems. Traditional OPF optimize consider transmission systems, treating distribution networks as static loads. However, the growing presen…

View free PDFSource page
arxiveess.SYcs.AIcs.LGcs.ROmath.OC2026-07-01

GPU-Parallel Linearization Error Bounds for Real-Time Robust Optimal Control of Nonlinear and Neural Network Dynamics

Jeffrey Fang, Keyi Shen, Anutam Srinivasan, Glen Chou

This paper studies real-time robust optimal control for uncertain nonlinear systems, where linear time-varying (LTV) approximations make planning tractable but require sound linearization error bounds (LEBs) to guarantee robust constraint satisfaction. We develop tight, different…

View free PDFSource page
arxiveess.SYastro-ph.EPmath.OC2026-07-11

Tulip-Shaped Orbits for Lunar South-Pole PNT and Direct-to-Earth Relay Missions

Darin C. Koblick, Michael Casey

This geometric study evaluates a compact seven-petal, 6:5-resonant tulip-shaped orbit constellation for lunar south-pole positioning, navigation, and timing (PNT) and direct-to-Earth relay services. The tulip-shaped orbits are compared against elliptical lunar frozen orbit (ELFO)…

View free PDFSource page