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 …

Control of low-inertia power systems

F Dörfler, D Groß - Annual Review of Control, Robotics, and …, 2023 - annualreviews.org
Electric power systems are undergoing an unprecedented transition from fossil fuel–based
power plants to low-inertia systems that rely predominantly on power electronics and …

The challenges of achieving a 100% renewable electricity system in the United States

P Denholm, DJ Arent, SF Baldwin, DE Bilello… - Joule, 2021 - cell.com
Understanding the technical and economic challenges of achieving 100% renewable
energy (RE) electric power systems is critical, given the increasing number of United States …

Achieving a 100% renewable grid: Operating electric power systems with extremely high levels of variable renewable energy

B Kroposki, B Johnson, Y Zhang… - IEEE Power and …, 2017 - ieeexplore.ieee.org
What does it mean to achieve a 100% renewable grid? Several countries already meet or
come close to achieving this goal. Iceland, for example, supplies 100% of its electricity …

Placement and implementation of grid-forming and grid-following virtual inertia and fast frequency response

BK Poolla, D Groß, F Dörfler - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
The electric power system is witnessing a shift in the technology of generation. Conventional
thermal generation based on synchronous machines is gradually being replaced by power …

Grid-forming control for power converters based on matching of synchronous machines

C Arghir, T Jouini, F Dörfler - Automatica, 2018 - Elsevier
We consider the problem of grid-forming control of power converters in low-inertia power
systems. Starting from an average-switch three-phase power converter model, we draw …

Optimal power flow pursuit

E Dall'Anese, A Simonetto - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
This paper considers distribution networks featuring inverter-interfaced distributed energy
resources, and develops distributed feedback controllers that continuously drive the inverter …

Sustainable power systems operations under renewable energy induced disjunctive uncertainties via machine learning-based robust optimization

N Zhao, F You - Renewable and sustainable energy reviews, 2022 - Elsevier
For sustainable and reliable power systems operations integrating variable renewable
energy, it is essential to incorporate the uncertain intermittent power outputs. A novel robust …

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 …

Co-planning of investments in transmission and merchant energy storage

Y Dvorkin, R Fernandez-Blanco, Y Wang… - … on Power Systems, 2017 - ieeexplore.ieee.org
Suitably located energy storage systems are able to collect significant revenue through
spatiotemporal arbitrage in congested transmission networks. However, transmission …