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

The future grid is evolving into a smart distribution network that integrates multiple
distributed energy resources ensuring at the same time reliable operation and increased …

Future power networks are expected to incorporate a large number of distributed energy
resources, which introduce randomness and fluctuations as well as fast control capabilities …

Mathematical optimization is one of the cornerstones of modern engineering research and
practice. Yet, throughout all application domains, mathematical optimization is, for the most …

Optimization underpins many of the challenges that science and technology face on a daily
basis. Recent years have witnessed a major shift from traditional optimization paradigms …

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 develops and analyzes feedback-based online optimization methods to regulate
the output of a linear time invariant (LTI) dynamical system to the optimal solution of a time …

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 …

Recently, the integration of renewable energy sources in microgrids has seen a significant
rise due to their attractive prices, reliability etc. However, besides the techno-economic …

This paper examines distribution systems that have a high integration level of distributed
energy resources (DERs), and addresses the design of local control methods for real-time …