Mengjia Zhang
School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
Maxime Baudette
School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
Jan Lavenius
School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden
Stig Løvlund
Research and Development Division, Statnett SF, Oslo, Norway
Luigi Vanfretti
School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden / Research and Development Division, Statnett SF, Oslo, Norway
Ladda ner artikel
http://dx.doi.org/10.3384/ecp15119105Ingår i: Proceedings of the 56th Conference on Simulation and Modelling (SIMS 56), October, 7-9, 2015, Linköping University, Sweden
Linköping Electronic Conference Proceedings 119:10, s. 105-112
Publicerad: 2015-11-25
ISBN: 978-91-7685-900-1
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
Following the European Network of Transmission System Operators for Electricity (ENTSO-E) R and D Road Map, the iTesla1 project aims to develop a common toolbox to support the future operation of the pan-European power grid. This toolbox was developed to allow unambiguous power system dynamic model exchange between simulation tools and performing simulations using Modelica models for Pan-European dynamic security assessment.
The work presented here comprises the development of Modelica classes for power gird components used by Nordic TSOs to model the Nordic synchronous grid. The performance of these Modelica models has been validated through different test cases implemented in both Power System Simulator for Engineering (PSS/E), as the reference domain-specific tool, and a Modelica simulation environment. The results from dynamic simulations with the presence of different perturbations have been compared to qualitatively and quantitatively the PSS/E results to validate the Modelica implementation, obtaining consistency simulation results between both tools. This paper describes the methodology used to develop and to perform model-to-model validation of the newly implemented Modelica models.
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