A Python Test Environment for Multi-Agent Systems in a Large Electrical Distribution Grid Model

Löbel J, Riebesel D, Mehlmann G (2022)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2022

Conference Proceedings Title: Conference Proceedings, 2 – 4 November 2022 in Kassel, Germany

Event location: Kassel, Germany DE

ISBN: 978-3-8007-6013-8

URI: https://ieeexplore.ieee.org/document/10104228

Abstract

This paper provides a possible simulation approach for large multi-agent systems (MAS) with many electrical assets. Using public available data, an electrical 110 kV grid model of TEN Th¨uringer Energienetze GmbH & Co. KG (TEN) was imitated. Basic modelling assumptions are made for the available data. Machine controllers and parameters are derived from controllers of the European Network of Transmission System Operators for Electricity (ENTSO-E) transmission grid. Renewable energy sources (RES) are represented individually but also accumulated. The controls for RES are grid-following and are based on the controllers of the WECC Western Electricity Coordinating Council (WECC). Loads were distributed to the different substations via a range of key factors. RMS simulations show that the generated distribution grid can be operated stably even in fault cases. In the second part, Python test environment is introduced and the coupling with a commercial available power system software is shown. For this purpose, the co-simulation of a shared memory solution is used. The interaction between the MAS python test environment and PSS®SINCAL can be shown within a stable RMS simulation.

Authors with CRIS profile

Jonathan Löbel Professur für Elektrische Energieversorgung David Riebesel Lehrstuhl für Elektrische Energiesysteme Gert Mehlmann Lehrstuhl für Elektrische Energiesysteme

How to cite

APA:

Löbel, J., Riebesel, D., & Mehlmann, G. (2022). A Python Test Environment for Multi-Agent Systems in a Large Electrical Distribution Grid Model. In VDE Verlag GmbH (Eds.), Conference Proceedings, 2 – 4 November 2022 in Kassel, Germany. Kassel, Germany, DE.

MLA:

Löbel, Jonathan, David Riebesel, and Gert Mehlmann. "A Python Test Environment for Multi-Agent Systems in a Large Electrical Distribution Grid Model." Proceedings of the PESS + PELSS 2022 – Power and Energy Student Summit, Kassel, Germany Ed. VDE Verlag GmbH, 2022.

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