D-JRA2.3 Smart Grid Simulation Environment

Report (2019)

Authors

R. Bhandia Intelligent Electrical Power Grids - EEMCS
A.A. van der Meer Intelligent Electrical Power Grids - EEMCS
Yvon Besanger Grenoble Institute of Technology
Tung Lam Nguyen Grenoble Institute of Technology
Panagiotis Mantafounis Institute of Computer and Communications Systems (ICCS)
Andreas Davros Institute of Computer and Communications Systems (ICCS)
Edmund Widl AIT Austrian Institute of Technology
Thomas Strasser AIT Austrian Institute of Technology
K. Heussen Technical University of Denmark
Tue Vissing Jensen Technical University of Denmark
Van Hoa Nguyen CEA Grenoble
Franck Bourry CEA Grenoble
Mazheruddin Syed University of Strathclyde
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
Copyright: © 2019 R. Bhandia, A.A. van der Meer, Edmund Widl, Thomas I. Strasser, Kai Heussen, Tue Vissing Jensen, Cornelius Steinbrink, Van Hoa Nguyen, Franck Bourry, Mazheruddin Syed, Przemyslaw Chodura, Yvon Besanger, Tung Lam Nguyen, Panagiotis Mantafounis, Andreas Davros
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Published Date

01-01-2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

This report summarizes the work conducted within ERIGrid related to an integrated simulation environment for large-scale systems.The main goal of the JRA2 is to develop advanced simulation-based tools and methods to validate Smart Grid scenarios, configurations and applications in con-text of co-simulation. The work done in D-JRA2.1 involved assessment of specialized simulation packages for Smart Grids and to develop tools to couple these simulation packages for co-simulation. New tools and models were also developed as some of the existing tools were not sufficient enough to achieve the appropriate couplings. In D-JRA2.2 co-simulation-based assessment methods were developed to compare the performance between monolithic and co-simulations. In D-JRA2.3 we aim to combine all the work done under WP JRA2 to present an integrated simulation package that can be applied to Large Scale systems. The assessment methods developed in D-JRA2.2 have been tested initially in small systems to measure the performance and identify possible flaws. How-ever, the complexity increases significantly in large scale realistic systems. This report documents the challenges faced when the systems and their models grow larger (i.e., upscaled) and how different large scale specific phenomena and issues were identified. After the identification of the challenges, the assessment methods were modified and packaged into an in-tegrated simulation environment which can be used for scaled out systems. The simulation pack-ages are provided as an addendum along with this report while their details are concisely docu-mented in this report.