activity
20162021
most citedUncertainty-aware demand management of water distribution networks in deregulated energy markets

7 citations · 16 across the 4 of their papers we have counts for

collaborators

6 papers

math.OC2021★ 2 cited

Saturation-Aware Model Predictive Energy Management for Droop-Controlled Islanded Microgrids

Steffen Hofmann, Ajay Sampathirao, Christian A. Hans +3

In this paper, we propose a minimax model predictive control (MPC)-based energy management system that is robust with respect to uncertainties in renewable infeed and load. The MPC…

math.OC2021★ 1 cited

Massively parallelizable proximal algorithms for large-scale stochastic optimal control problems

Ajay K. Sampathirao, Panagiotis Patrinos, Alberto Bemporad +1

Scenario-based stochastic optimal control problems suffer from the curse of dimensionality as they can easily grow to six and seven figure sizes. First-order methods are suitable a…

eess.SY2019

Fallback Strategies in Operation Control of Microgrids with Communication Failures

Inga Löser, Ajay Kumar Sampathirao, Steffen Hofmann +1

This paper proposes a model predictive control (MPC)-based energy management system to address communication failures in an islanded microgrid (MG). The energy management system re…

math.OC2019★ 7 cited

Uncertainty-aware demand management of water distribution networks in deregulated energy markets

Pantelis Sopasakis, Ajay K. Sampathirao, Alberto Bemporad +1

We present an open-source solution for the operational control of drinking water distribution networks which accounts for the inherent uncertainty in water demand and electricity p…

eess.SY2018★ 6 cited

Distributed Conditional Cooperation Model Predictive Control of Interconnected Microgrids

A. K. Sampathirao, S. Hofmann, J. Raisch +1

In this paper, we propose a model predictive control based operation strategy that allows for power exchange between interconnected microgrids. Particularly, the approach ensures t…

math.OC2016

GPU-accelerated stochastic predictive control of drinking water networks

Ajay K. Sampathirao, Pantelis Sopasakis, Alberto Bemporad +1

Despite the proven advantages of scenario-based stochastic model predictive control for the operational control of water networks, its applicability is limited by its considerable…