activity
20162023
most citedAsynchronous ADMM for Distributed Non-Convex Optimization in Power Systems

19 citations · 57 across the 27 of their papers we have counts for

collaborators
Showing eess.SYShow all

24 papers · 1 filter

eess.SY2023

Integrating Optimal EV Charging in the Energy Management of Electric Railway Stations

Georgia Pierrou, Gabriela Hug

In this paper, an electric railway Energy Management System (EMS) with integration of an Energy Storage System (ESS), Regenerative Braking Energy (RBE), and renewable generation is…

eess.SY2023

Safe Reinforcement Learning for Strategic Bidding of Virtual Power Plants in Day-Ahead Markets

Ognjen Stanojev, Lesia Mitridati, Riccardo de Nardis di Prata +1

This paper presents a novel safe reinforcement learning algorithm for strategic bidding of Virtual Power Plants (VPPs) in day-ahead electricity markets. The proposed algorithm util…

eess.SY2023

Recursive Dynamic State Estimation for Power Systems with an Incomplete Nonlinear DAE Model

Milos Katanic, John Lygeros, Gabriela Hug

Power systems are highly complex, large-scale engineering systems subject to many uncertainties, which makes accurate mathematical modeling challenging. This paper proposes a novel…

eess.SY2023

Tractable Identification of Electric Distribution Networks

Ognjen Stanojev, Lucien Werner, Steven Low +1

The identification of distribution network topology and parameters is a critical problem that lays the foundation for improving network efficiency, enhancing reliability, and incre…

eess.SY2022

Fast Mapping of Flexibility Regions at TSO-DSO Interfaces under Uncertainty

Alice Patig, Ognjen Stanojev, Petros Aristidou +2

The gradual decommissioning of fossil fuel-driven power plants, that traditionally provide most operational flexibility in power systems, has led to more frequent grid stability is…

eess.SY20221 cited

Control-aware Probabilistic Load Flow for Transmission Systems: An Analytical Method

Mengshuo Jia, Qianni Cao, Chen Shen +1

Probabilistic load flow (PLF) calculation, as a fundamental tool to analyze transmission system behavior, has been studied for decades. Despite a variety of available methods, exis…