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 …

A rich supply of data and innovative algorithms have made data-driven modeling a popular
technique in modern industry. Among various data-driven methods, latent variable models …

The rapid development of variable renewable energy (VRE), such as wind and solar energy,
has stimulated the complementary operation of VRE with flexible cascade hydropower …

Mathematical optimization has always been at the heart of engineering, statistics, and
economics. In these applied domains, optimization concepts and methods have often been …

The fields of power system engineering and operations research are growing rapidly and
becoming increasingly entwined. This survey aims to strengthen the connections between …

Uncertainties from deepening penetration of renewable energy resources have posed
critical challenges to the secure and reliable operations of future electric grids. Among …

This paper proposes a novel bi-level optimization model to study the strategic retail pricing
and demand bidding problems of an electricity retailer that considers the interactions …

Microgrid is a typical low-inertia system with uncertainty due to the high penetration of power
electronics and renewable energy. Therefore, it is necessary to consider the issue of …

This article takes an integrated view of optimized capacity design and operation of islanded
energy hubs. We consider energy hubs that incorporate emerging distributed energy …

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