Multi-uncertainties impose enormous challenges to the optimal scheduling of power
systems, and two-stage robust optimization (TSRO) theory has been widely investigated and …

To address the uncertain renewable energy in the day-ahead optimal dispatch of energy
and reserve, a multi-stage stochastic programming model is established in this paper to …

In this paper, a risk-based robust energy scheduling model for microgrids is proposed to
address the uncertainty of renewable energy sources (RESs). The proposed model …

With the large-scale integration of renewable power generation, frequency regulation
resources (FRRs) are required to have larger capacities and faster ramp rates, which …

The uncertainties from renewable energy sources (RESs) will not only introduce significant
influences to active power dispatch, but also bring great challenges to the analysis of …

The continuous growth of variable renewable integration has greatly increased uncertainty
and variability in the power system, resulting in unprecedentedly high demand for flexibility …

To address the uncertainty of renewable energy in unit commitment, an adjustable
uncertainty set of renewable energy is introduced and unit commitment is scheduled to …

This paper presents a multi-objective dynamic economic dispatch model with renewable
obligation requirements. The two objective functions that are presented in this paper aim to …

The volatility of renewable energy causes mismatch between real-time generation and
demand, calling for sufficient backup to compensate such discrepancy. This paper studies …

The Unit commitment (UC) problem in power systems has been studied for a long time;
however, many new challenges have emerged in the UC problem with the increasing …