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Time-varying convex optimization: Time-structured algorithms and applications
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 …
Control of low-inertia power systems
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 …
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
Understanding the technical and economic challenges of achieving 100% renewable
energy (RE) electric power systems is critical, given the increasing number of United States …
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
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 …
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
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 …
thermal generation based on synchronous machines is gradually being replaced by power …
Grid-forming control for power converters based on matching of synchronous machines
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 …
systems. Starting from an average-switch three-phase power converter model, we draw …
Optimal power flow pursuit
This paper considers distribution networks featuring inverter-interfaced distributed energy
resources, and develops distributed feedback controllers that continuously drive the inverter …
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
For sustainable and reliable power systems operations integrating variable renewable
energy, it is essential to incorporate the uncertain intermittent power outputs. A novel robust …
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
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 …
Co-planning of investments in transmission and merchant energy storage
Suitably located energy storage systems are able to collect significant revenue through
spatiotemporal arbitrage in congested transmission networks. However, transmission …
spatiotemporal arbitrage in congested transmission networks. However, transmission …