Conference article

Modelica Implementation and Software-to-Software Validation of Power System Component Models Commonly used by Nordic TSOs for Dynamic Simulations

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

Download articlehttp://dx.doi.org/10.3384/ecp15119105

Published in: 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

Show more +

Published: 2015-11-25

ISBN: 978-91-7685-900-1

ISSN: 1650-3686 (print), 1650-3740 (online)

Abstract

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.

Keywords

Modelica; Simulation; Software validation; Power systemstion

References

Tetiana Bogodorova, Marc Sabate, Gladys Leon, Luigi Vanfretti, Milenko Halat, Jean-Baptiste Heyberger, and Patrick Panciatici. A modelica power system library for phasor timedomain simulation. In 2013 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE), pages 1–5, 2013.

Dassault Systemes. Dymola, 2015. http://www.3ds.com/productsservices/catia/products/dymola/.

Peter Fritzson. Principles of object-oriented modeling and sim-ulation with Modelica 2.1. John Wiley & Sons, 2003.

IEC 61970-301. Energy management system application program interface (EMS-API) - Part 301: Common information model (CIM) base, 2013.

Prabha Kundur, Neal J Balu, and Mark G Lauby. Power system stability and control, volume 7. McGrawhill New York, 1994.

Modelica Association. Modelica Language Specification, 2014a. https://modelica.org/documents.

Modelica Association. FMI for Model Exchange and Co-Simulation Specification, July 2014b. https://www.fmistandard.org/downloads.

R. Rogersten, L. Vanfretti, Wei Li, Lidong Zhang, and P. Mitra. A quantitative method for the assessment of vsc-hvdc controller simulations in emt tools. In 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), pages 1–5, Oct 2014.

Richard P. Schulz. Synchronous machine modeling. IEEE publication 75, 1975.

Siemens PTI Inc. PSSE User Manual v30.2, Siemens Power Transmission & Distribution. Power Technologies International, 2005.

L. Vanfretti,W. Li, T. Bogodorova, and P. Panciatici. Unambiguous power system dynamic modeling and simulation using Modelica tools. In 2013 IEEE PES General Meeting, pages 21–25, 2013.

Citations in Crossref