Power systems optimization under uncertainty: A review of methods and applications
Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …
experiencing increasing levels of uncertainty due to factors such as renewable energy …
A survey on conic relaxations of optimal power flow problem
Conic optimization has recently emerged as a powerful tool for designing tractable and
guaranteed algorithms for power system operation. On the one hand, tractability is crucial …
guaranteed algorithms for power system operation. On the one hand, tractability is crucial …
A survey of relaxations and approximations of the power flow equations
The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …
system and are therefore key to many power system optimization and control problems …
Recent developments in security-constrained AC optimal power flow: Overview of challenge 1 in the ARPA-E grid optimization competition
The optimal power-flow problem is central to many tasks in the design and operation of
electric power grids. This problem seeks the minimum-cost operating point for an electric …
electric power grids. This problem seeks the minimum-cost operating point for an electric …
Robust AC optimal power flow with robust convex restriction
Electric power grids regularly experience uncertain fluctuations from load demands and
renewables, which poses a risk of violating operational limits designed to safeguard the …
renewables, which poses a risk of violating operational limits designed to safeguard the …
Grid-aware aggregation and realtime disaggregation of distributed energy resources in radial networks
Dispatching a fleet of distributed energy resources (DERs) in response to wholesale energy
market or regional grid signals requires solving a challenging disaggregation problem when …
market or regional grid signals requires solving a challenging disaggregation problem when …
Efficient creation of datasets for data-driven power system applications
Advances in data-driven methods have sparked renewed interest for applications in power
systems. Creating datasets for successful application of these methods has proven to be …
systems. Creating datasets for successful application of these methods has proven to be …
High-Dimensional Steady-State Security Region Boundary Approximation in Power Systems using Feature Non-Linear Converter and Improved Oblique Decision …
The steady-state security region (SSR) offers robust support for the security assessment and
control of new power systems with high uncertainty and fluctuation. However, accurately …
control of new power systems with high uncertainty and fluctuation. However, accurately …
An AC-feasible linear model in distribution networks with energy storage
With the increasing deployment of distributed energy resources (DERs), dispatching DERs
subject to operational constraints in distribution networks draws much attention. One …
subject to operational constraints in distribution networks draws much attention. One …
Providing distributed flexibility for curative transmission system operation using a scalable robust optimization approach
T Kolster, S Niessen, M Duckheim - Electric Power Systems Research, 2022 - Elsevier
Managing flexibility across transmission and distribution system boundaries unlocks
degrees of freedom for efficient system operation. It is attractive to use this freedom for …
degrees of freedom for efficient system operation. It is attractive to use this freedom for …