activity
20192026
collaborators

5 papers

math.OC2026

Economic Nonlinear Model Predictive Control for Microgrids with Generator Up and Downtime Constraints

Jürgen Gutekunst, Armin Nurkanovic, Ekaterina Kostina +3

Recently there has been a lot of progress in the development of economic nonlinear model predictive control (NMPC) schemes for multistage optimal power flow (OPF) problems. However…

cs.SE2025

JuliaGrid: An Open-Source Julia-Based Framework for Power System State Estimation

Mirsad Cosovic, Ognjen Kundacina, Muhamed Delalic +6

Modern electric power systems have an increasingly complex structure due to rise in power demand and integration of diverse energy sources. Monitoring these large-scale systems, wh…

eess.SY2024

Identification of Black-Box Inverter-Based Resource Control Using Hammerstein-Wiener Models

Aldin Dželo, Amer Mešanović, Mirsad Cosovic

The development of more complex inverter-based resources (IBRs) control is becoming essential as a result of the growing share of renewable energy sources in power systems. Given t…

eess.SY2020

Controller tuning in power systems using singular value optimization

Amer Mešanović, Ulrich Münz, Rolf Findeisen

As the share of renewable generation in large power systems continues to increase, the operation of power systems becomes increasingly challenging. The constantly shifting mix of r…

eess.SY2019

Scalable and Data Privacy Conserving Controller Tuning for Large-Scale Power Networks

Amer Mešanović, Ulrich Münz, Rolf Findeisen

The increasing share of renewable generation leads to new challenges in reliable power system operation, such as the rising volatility of power generation, which leads to time-vary…