Static robust optimization (RO) is a methodology to solve mathematical optimization
problems with uncertain data. The objective of static RO is to find solutions that are immune …

This paper provides an overview of developments in robust optimization since 2007. It seeks
to give a representative picture of the research topics most explored in recent years …

In this paper, we present a column-and-constraint generation algorithm to solve two-stage
robust optimization problems. Compared with existing Benders-style cutting plane methods …

This paper proposes a distributionally robust optimization model for solving unit commitment
(UC) problems considering volatile wind power generation. The uncertainty of wind power is …

A robust security-constrained unit commitment (robust SCUC) model is proposed in this
paper to enhance the operational reliability of integrated electricity-natural gas system …

Currently, both demand response (DR) strategy and renewable energy have been adopted
to improve power generation efficiency and reduce greenhouse gas emission. However, the …

To handle significant variability in loads, renewable energy generation, as well as various
contingencies,(two-stage) robust optimization method has been adopted to construct unit …

In this paper, we propose a set of two-stage robust optimization models to design reliable p-
median facility location networks subject to disruptions. We analyze their structural …

In this paper, we consider a linear two-stage robust optimization model with a mixed integer
recourse problem. Currently, this type of two-stage robust optimization model does not have …

The growing interconnections of regional power systems and the large-scale integration of
wind energy bring about the critical need to coordinate multiarea generation unit and tie-line …