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A survey of distributed optimization and control algorithms for electric power systems
DK Molzahn, F Dörfler, H Sandberg… - … on Smart Grid, 2017 - ieeexplore.ieee.org
Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …
optimization and control. With increasing penetrations of distributed energy resources …
Time-varying convex optimization: Time-structured algorithms and applications
A Simonetto, E Dall'Anese, S Paternain… - Proceedings of the …, 2020 - ieeexplore.ieee.org
Optimization underpins many of the challenges that science and technology face on a daily
basis. Recent years have witnessed a major shift from traditional optimization paradigms …
basis. Recent years have witnessed a major shift from traditional optimization paradigms …
Learning optimal solutions for extremely fast AC optimal power flow
We develop, in this paper, a machine learning approach to optimize the real-time operation
of electric power grids. In particular, we learn feasible solutions to the AC optimal power flow …
of electric power grids. In particular, we learn feasible solutions to the AC optimal power flow …
Global phase and magnitude synchronization of coupled oscillators with application to the control of grid-forming power inverters
M Colombino, D Groß, JS Brouillon… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we explore a new approach to synchronization of coupled oscillators. In
contrast to the celebrated Kuramoto model, we do not work in polar coordinates and do not …
contrast to the celebrated Kuramoto model, we do not work in polar coordinates and do not …
[HTML][HTML] Optimization algorithms as robust feedback controllers
A Hauswirth, Z He, S Bolognani, G Hug… - Annual Reviews in Control, 2024 - Elsevier
Mathematical optimization is one of the cornerstones of modern engineering research and
practice. Yet, throughout all application domains, mathematical optimization is, for the most …
practice. Yet, throughout all application domains, mathematical optimization is, for the most …
Real-time feedback-based optimization of distribution grids: A unified approach
A Bernstein, E Dall'Anese - IEEE Transactions on Control of …, 2019 - ieeexplore.ieee.org
This paper develops an algorithmic framework for real-time optimization of distribution-level
distributed energy resources (DERs). The framework optimizes the operation of DERs that …
distributed energy resources (DERs). The framework optimizes the operation of DERs that …
Timescale separation in autonomous optimization
A Hauswirth, S Bolognani, G Hug… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Autonomous optimization refers to the design of feedback controllers that steer a physical
system to a steady state that solves a predefined, possibly constrained, optimization …
system to a steady state that solves a predefined, possibly constrained, optimization …
Toward distributed energy services: Decentralizing optimal power flow with machine learning
R Dobbe, O Sondermeijer… - … on Smart Grid, 2019 - ieeexplore.ieee.org
The implementation of optimal power flow (OPF) methods to perform voltage and power flow
regulation in electric networks is generally believed to require extensive communication. We …
regulation in electric networks is generally believed to require extensive communication. We …
[HTML][HTML] Real-time optimization as a feedback control problem–A review
D Krishnamoorthy, S Skogestad - Computers & Chemical Engineering, 2022 - Elsevier
Feedback optimizing control aims to achieve asymptotic optimal operation by directly
manipulating the inputs using feedback controllers, without the need to solve numerical …
manipulating the inputs using feedback controllers, without the need to solve numerical …
Online feedback equilibrium seeking
G Belgioioso, D Liao-McPherson… - … on Automatic Control, 2024 - ieeexplore.ieee.org
This article proposes a unifying design framework for dynamic feedback controllers that track
solution trajectories of time-varying generalized equations, such as local minimizers of …
solution trajectories of time-varying generalized equations, such as local minimizers of …