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

Existing approaches to constrained dynamic programming are limited to formulations where
the constraints share the same additive structure of the objective function (that is, they can …

Higher shares of electricity generation from renewable energy sources and market
liberalization is increasing uncertainty in power systems operation. At the same time …

Optimal power flow (OPF) is at the heart of many power system operation tools and market
clearing processes. Several mathematical and heuristic approaches have been presented in …

High penetration of renewable energy sources and the increasing share of stochastic loads
require the explicit representation of uncertainty in tools such as the optimal power flow …

In many parts of the world, electric power systems have seen a significant shift toward
generation from renewable energy and natural gas. Because of their ability to flexibly adjust …

We present a computationally-efficient approach for solving stochastic, multiperiod optimal
power flow problems. The objective is to determine power schedules for controllable devices …

Managing uncertainty and variability in power injections has become a major concern for
power system operators due to increasing levels of fluctuating renewable energy connected …

The growing amount of fluctuating renewable infeeds and market liberalization increases
uncertainty in power system operation. To capture the influence of fluctuations in operational …

This paper proposes a tri-level adaptive robust AC optimal power flow (AR-ACOPF) model
incorporating wind units. The uncertain wind power production as well as the system …