Robust unit commitment with dispatchable wind power

TL;DR: This paper presents a modified formulation for the wind-battery-thermal unit commitment problem that combines battery energy storage systems with thermal units to compensate for the power dispatch gap caused by the intermittency of wind power generation.

TL;DR: In this paper , the authors proposed a two-stage robust generation dispatch (RGD) model, where the curtailment threshold is optimized in the pre-dispatch stage and the controllable units adjust their outputs within their reserve contributions to maintain power balancing.

TL;DR: In this article , a review of the potential demand response, as an option for more efficient grid management and as a measure for the more rational RES capacity sizing, eventually leading to an accelerated reduction of using fossil fuels.

TL;DR: The Affinely Adjustable Robust Counterpart (AARC) problem is shown to be, in certain important cases, equivalent to a tractable optimization problem, and in other cases, having a tight approximation which is tractable.

TL;DR: In this paper, a two-stage adaptive robust unit commitment model for the security constrained unit commitment problem in the presence of nodal net injection uncertainty is proposed, which only requires a deterministic uncertainty set, rather than a hard-to-obtain probability distribution on the uncertain data.

TL;DR: A computational study on a two-stage robust location-transportation problem shows that the column-and-constraint generation algorithm performs an order of magnitude faster than existing Benders-style cutting plane methods.

TL;DR: In this paper, the authors proposed a robust optimization approach to accommodate wind output uncertainty, with the objective of providing a robust unit commitment schedule for the thermal generators in the day-ahead market that minimizes the total cost under the worst wind power output scenario.