BELTISTOS: A robust interior point method for large-scale optimal power flow problems
Informazioni aggiuntive
Tipo
Articolo pubblicato in rivista scientifica
Anno
2022
Lingua
Inglese
Abstract
Optimal power flow (OPF) problems are ubiquitous for daily power grid operations and planning. These optimal control problems are nonlinear, non-convex, and computationally demanding for large power networks especially for OPF problems defined over a large number of time periods, which are commonly intertemporally coupled due to constraints associated with energy storage devices. A robust interior point framework is proposed that allows fast and accurate solutions to single-period OPF problems and significantly accelerates the solution of multi-period OPF problems via the aid of structure-exploiting algorithms. Adhering to high reporting standards for replicable and reliable analysis, the proposed optimization framework is compared with several interior point optimizers within a software package Matpower and evaluated using large scale
power networks with up to 193,000 buses and problems spanning up to 4,800 time periods
Rivista
Electric Power Systems Research
Volume
212
Pagina inizio
1
Pagina fine
31
Parole chiave
Interior Point Methods, Optimal Power Flow, Multi-period Optimal Power Flow, Optimization Software, Structure-exploiting Algorithms, Performance Profiling
