The concepts of risk aversion, chance-constrained optimization, and robust optimization
have developed significantly over the last decade. The statistical learning community has …

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

风电场和光伏电站出力的不确定性给电力系统优化调度带来很大技术挑战.
文中主要介绍了考虑新能源不确定性的电力系统优化调度方法的研究现状及后续研究方向展望 …

The resilience management of energy and power systems is of utmost importance in
mitigating the impact of extreme events, which have resulted in devastating disasters and …

Community energy consumption accounts for a large proportion of total social energy
consumption. Therefore, community integrated energy systems have emerged to satisfy …

This paper proposes a new distance-based distributionally robust unit commitment (DB-
DRUC) model via Kullback-Leibler (KL) divergence, considering volatile wind power …

With the development of smart grid, energy management becomes critical for reliable and
efficient operation of power systems. In this paper, we develop a chance-constrained energy …

We propose a three-stage resilient unit commitment model which considers uncertain
typhoon paths and line outages to improve the power system resilience against typhoon …

This paper proposes a novel data-driven adaptive robust optimization (ARO) framework for
the unit commitment (UC) problem integrating wind power into smart grids. By leveraging a …

In the context of transition towards sustainable, cost-efficient and reliable energy systems,
the improvement of current energy and reserve dispatch models is crucial to properly cope …