Debopama Sen Sarma

Technische Universität Dortmund | TUD ·  Institute of Energy Systems, Energy Efficiency and Energy Economics

For exploration of future transition paths of the energy system and the complex challenges related to it, modeling components that are either a part of or connected to the energy system is primary. Here, co-simulation approaches facilitate integrated simulation scenarios by coupling simulation models developed in different programming languages, ba...

In the energy transition context, the use of steady-state time series is a promising approach to account for temporal interdependencies and flexibilities in modern distribution power system analysis, planning, and operation processes. This paper proposes a distributed backward–forward sweep power flow algorithm executed in a discrete-event, agent-b...

Increasing energy generation from variable and uncertain renewable resources leads to high demand for flexibility procurement from different energy sectors to maintain supply/demand balance in distribution power systems. Industrial energy systems are rapidly emerging as the primary contributor in providing the bulk of said flexibility to the electr...

On account of the increasing influx of distributed energy resources into modern power grids, it is essential to develop efficient distributed control and optimization algorithms capable of providing suitable solutions with access to local data alone. This paper uses a distributed optimal power flow (OPF) algorithm based on a gradient projection met...