activity
20242026
collaborators

6 papers

eess.SY2026

Distributed coordination for transmission-distribution systems with nonlinear flexibility aggregation

Xinliang Dai, Yanlin Jiang, Frederik Zahn +2

High shares of distributed energy resources (DERs) transform distribution systems into active participants in integrated transmission and distribution (ITD) operations. Linear mode…

math.OC2026

Stochastic Model Predictive Control based on Mixed Random Variables for Economic Energy Management

Janik Pinter, Maximilian Beichter, Ralf Mikut +2

Optimal scheduling of batteries has significant potential to reduce electricity costs and to enhance grid resilience. However, effective battery scheduling must account for both ph…

math.OC2025

Averaging favors MPC: How typical evaluation setups overstate MPC performance for residential battery scheduling

Janik Pinter, Maximilian Beichter, Ralf Mikut +2

Residential prosumers with PV-battery systems increasingly manage their electricity exchange with the power grid to minimize costs. This study investigates the performance of Model…

eess.SY2025

Error Accumulation using Linearized Models for Aggregating Flexibility in Distribution Systems

Yanlin Jiang, Xinliang Dai, Frederik Zahn +2

This paper investigates flexibility aggregation approaches based on linear models. We begin by examining the theoretical foundations of linear AC power flow, two variants of so-cal…

eess.SY2025

Enhanced Flexibility Aggregation Using LinDistFlow Model with Loss Compensation

Yanlin Jiang, Xinliang Dai, Frederik Zahn +1

With the increasing integration of renewable energy resources and the growing need for data privacy between system operators, flexibility aggregation methods have emerged as a prom…

math.OC2024

Probabilistic Day-Ahead Battery Scheduling based on Mixed Random Variables for Enhanced Grid Operation

Janik Pinter, Frederik Zahn, Maximilian Beichter +2

The increasing penetration of renewable energy sources introduces significant challenges to power grid stability, primarily due to their inherent variability. A new opportunity for…