In this paper, we survey the primary research on the theory and applications of
distributionally robust optimization (DRO). We start with reviewing the modeling power and …

The optimal scheduling of park-level integrated energy system can improve the efficiency of
energy utilization and promote the consumption level of renewable energy. However, the …

This paper focuses on the distributionally robust dispatch for integrated transmission-
distribution (ITD) systems via distributed optimization. Existing distributed algorithms usually …

The uncertainty of renewable energy makes the optimal scheduling of integrated energy
systems (IES) challenging and complex. The paper suggests a novel two-stage optimized …

In order to help achieve the goal of carbon peak and carbon neutrality, the large-scale
development and application of clean renewable energy, like wind generation and solar …

The integration of large-scale weather-dependent renewable energy (RE) changes how
power grids operate, particularly for peak shaving dispatch. This paper uses flexible …

Uncertainty arising from renewable energy results in considerable challenges in optimal
power flow (OPF) analysis. Various chance-constrained approaches are proposed to …

Integrating heating and electricity networks offers extra flexibility to the energy system
operation while improving energy utilization efficiency. This paper proposes a data-driven …

Hydro-wind-solar integrated operation is a promising way to balance the growing amount of
variable renewable energy (RE) and enhance energy utilization efficiency. This study …

Distributionally robust optimization (DRO) has emerged as a favored methodology for
addressing the uncertainties stemming from renewable energy sources. However, existing …