Historically, centrally computed algorithms have been the primary means of power system
optimization and control. With increasing penetrations of distributed energy resources …

Power electronic converter (PEC)-interfaced renewable energy generators (REGs) are
increasingly being integrated to the power grid. With the high renewable power penetration …

The power flow equations relate the power injections and voltages in an electric power
system and are therefore key to many power system optimization and control problems …

This paper introduces a decentralized market design, which allows a distribution system
operator to manage local demand constraints by obtaining flexibility from competing …

We develop, in this paper, a machine learning approach to optimize the real-time operation
of electric power grids. In particular, we learn feasible solutions to the AC optimal power flow …

This paper considers distribution networks featuring inverter-interfaced distributed energy
resources, and develops distributed feedback controllers that continuously drive the inverter …

This paper develops a real-time algorithmic framework for aggregations of distributed
energy resources (DERs) in distribution networks to provide regulation services in response …

This paper focuses on distribution systems featuring renewable energy sources (RESs) and
energy storage systems, and presents an AC optimal power flow (OPF) approach to optimize …

We propose a data-based method to solve a multi-stage stochastic optimal power flow (OPF)
problem based on limited information about forecast error distributions. The framework …

This paper considers unbalanced multiphase distribution systems with generic topology and
different load models, and extends the-bus iterative load-flow algorithm based on a fixed …