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

Traditionally, offline optimization of power systems is acceptable due to the largely
predictable loads and reliable generation. The increasing penetration of fluctuating …

Modeled after the hierarchical control architecture of power transmission systems, a layering
of primary, secondary, and tertiary control has become the standard operation paradigm for …

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

This paper develops an algorithmic framework for real-time optimization of distribution-level
distributed energy resources (DERs). The framework optimizes the operation of DERs that …

Autonomous optimization refers to the design of feedback controllers that steer a physical
system to a steady state that solves a predefined, possibly constrained, optimization …

We explore two different frequency control strategies to ensure stability of power networks
and achieve economic dispatch between generators and controllable loads. We first show …

This paper proposes a game-theoretic approach to design a distributed real-time electricity
pricing mechanism. Our approach is novel in that it guarantees individual rationality …

In a real-time electricity pricing context where consumers are sensitive to varying prices,
having the ability to anticipate their response to a price change is valuable. This paper …

We propose a novel frequency control approach in between centralized and distributed
architectures, that is a continuous-time feedback control version of the dual decomposition …