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 …

This paper is a sequel to and builds upon the survey paper on optimal power flow (OPF)[4]. It
provides an up-to-date critical review of the recent major advancements in the OPF state-of …

With the gradual growth of natural gas units, the coupling between power networks and
natural gas networks has deepened, and the synergistic operation between them has …

Aggregations of electric loads can provide reserves to power systems, but their available
reserve capacities are time-varying and not perfectly known when the system operator …

Higher levels of renewable electricity generation increase uncertainty in power system
operation. To ensure secure system operation, new tools that account for this uncertainty are …

With a large-scale introduction of plug-in electric vehicles (PEVs), a new entity, the PEV fleet
aggregator, is expected to be responsible for managing the charging of, and for purchasing …

The scenario approach is a general methodology for data-driven optimization that has
attracted a great deal of attention in the past few years. It prescribes that one collects a …

The integration of multiple flexible energy resources of prosumers into the distribution
system has been proposed to improve system economics and reliability. However, prosumer …

We propose a probabilistic framework to design an N-1 secure day-ahead dispatch and
determine the minimum cost reserves for power systems with wind power generation. We …

We consider convex optimization problems with uncertain, probabilistically described,
constraints. In this context, scenario optimization is a well recognized methodology where a …