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MANGO Classes-Modelica Classes of the Norvegian Grid: for iTesla and Software-to-Software Validation
KTH, School of Electrical Engineering (EES), Electric Power Systems.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Recent eorts of collaboration between the European transmission system operators have led to

an increased interest in common research projects concerning power system analysis. The iTesla

project is an example of European collaboration that focus on developing common tools for the

simulation and analysis of large scale power systems. The work carried out during the thesis is a

part of the iTesla project in which Modelica has been selected as a common simulation platform.

The work encompasses the development of Modelica classes for power grid components used in

dierent Norwegian grid dynamic Models.

The simulation platform PSS/E is used as a reference software for the developed power system

models. In this thesis power system models have been implemented in Modelica. The perfor-

mance of these Modelica classes have been validated through comparing between the behavior of

the developed and reference models in dynamic simulations. The validation process simulating

several small scale power system models and a subset of the Norwegian grid model that have been

identically implemented in both simulation platforms. The results from the dynamic simulation

under dierent perturbation have been compared in accuracy to validate the work.

Place, publisher, year, edition, pages
2014. , 78 p.
EES Examensarbete / Master Thesis, XR-EE-EPS 2014:009
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-160906OAI: diva2:792171
Educational program
Master of Science - Electric Power Engineering
Available from: 2015-03-03 Created: 2015-03-03 Last updated: 2015-03-03Bibliographically approved

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