When uncontrollable resources fluctuate, optimal power flow (OPF), routinely used by the
electric power industry to redispatch hourly controllable generation (coal, gas, and hydro …

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 …

This paper develops a multi-period chance constrained optimal power flow model to
schedule generation and reserves from both generators and aggregations of controllable …

This paper introduces the concept of affine reserve policies for accommodating large,
fluctuating renewable in feeds in power systems. The approach uses robust optimization …

We propose a novel framework for designing an N-1 secure generation day-ahead dispatch
for power systems with a high penetration of fluctuating power sources, eg, wind or PV …

This paper presents a computationally-efficient approach for solving stochastic, multiperiod
optimal power flow problems. The objective is to determine power schedules for controllable …

In this paper, we focus on Stochastic Model Predictive Control (SMPC) problems for systems
with linear dynamics and additive uncertainty. One way to address such problems is by …

Demand response (DR) can provide reserves in power systems but a fundamental
challenge is that the amount of capacity available from DR is time-varying and uncertain. We …

Recent work has studied modifications to DC optimal power flow (DC-OPF) computations so
as to better account for risk arising as a result of stochastic variation in the output of …

This paper presents a variety of different Security Constrained Optimal Power Flow
formulations addressing four power system operation and planning problems:(a) forecast …