Electric power systems and the companies and customers that interact with them are
experiencing increasing levels of uncertainty due to factors such as renewable energy …

Power systems are shifted from conventional bulk generation toward renewable generation.
This trend leads to the frequency security problem due to the decline of system inertia. On …

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

In light of a reliable and resilient power system under extreme weather and natural disasters,
networked microgrids integrating local renewable resources have been adopted extensively …

In this paper, a day-ahead optimal scheduling strategy for the DSO based on EV
aggregation is proposed. Generally, the uncertain parameters of EVs, ie, arrival and …

Joint chance-constrained optimal power flow (JCC-OPF) is a promising tool for managing
distributed renewable generation uncertainties. However, existing works are usually based …

The high penetration of renewable energy brings significant uncertainty to the power grids.
Taking economic dispatch (ED) as an example, the inaccurate prediction of renewable …

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 …

This paper introduces a novel mixed integer programming (MIP) reformulation for the joint
chance-constrained optimal power flow problem under uncertain load and renewable …

In this paper, we develop a distributionally robust chance-constrained formulation of the
Optimal Power Flow problem (OPF) whereby the system operator can leverage contextual …