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Found 9 papers, 0 papers with code
A Multi-Area Architecture for Real-Time Feedback-Based Optimization of Distribution Grids
A challenge in transmission-distribution coordination is how to quickly and reliably coordinate Distributed Energy Resources (DERs) across large multi-stakeholder Distribution Networks (DNs) to support the Transmission Network (TN), while ensuring operational constraints continue to be met within the DN.
Stochastic Data-Driven Predictive Control with Equivalence to Stochastic MPC
We propose a data-driven receding-horizon control method dealing with the chance-constrained output-tracking problem of unknown stochastic linear time-invariant (LTI) systems with partial state observation.
Closed-Loop Motion Planning for Differentially Flat Systems: A Time-Varying Optimization Framework
The standard approach to combine these methodologies comprises an offline/open-loop stage, planning, that designs a feasible and safe trajectory to follow, and an online/closed-loop stage, tracking, that corrects for unmodeled dynamics and disturbances.
Data-Driven Fast Frequency Control using Inverter-Based Resources
To address the control challenges associated with the increasing share of inverter-connected renewable energy resources, this paper proposes a direct data-driven approach for fast frequency control in the bulk power system.
Data-Driven Output Regulation using Single-Gain Tuning Regulators
Current approaches to data-driven control are geared towards optimal performance, and often integrate aspects of machine learning and large-scale convex optimization, leading to complex implementations.
Distributed Optimization for Reactive Power Sharing and Stability of Inverter-Based Resources Under Voltage Limits
Reactive power sharing and containment of voltages within limits for inverter-based resources (IBRs) are two important, yet coupled objectives in ac networks.
A Fixed-Point Algorithm for the AC Power Flow Problem
This paper presents an algorithm that solves the AC power flow problem for balanced, three-phase transmission systems at steady state.
Data-Driven Model Predictive Control for Linear Time-Periodic Systems
Robustness of the algorithm to noisy data is illustrated via simulation of a regularized version of the algorithm applied to a stochastic multi-input multi-output LTP system.
Low-Gain Stability of Projected Integral Control for Input-Constrained Discrete-Time Nonlinear Systems
We consider the problem of zeroing an error output of a nonlinear discrete-time system in the presence of constant exogenous disturbances, subject to hard convex constraints on the input signal.
Optimization and Control
