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Modelica Driven Power System Modeling, Simulation and 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]

Power system simulation is an important tool for the planning and operation of electric

power systems. With the growth of large-scale power systems and penetration of new

technologies, the complexity of power system simulation has increased. In this back-

ground, achievement of valuable simulation results in the simulation has become one of

the important research questions in electrical power engineering eld.

The most eective solution of this question is to develop accurate models for the power

system. However, the complexity and diversity of power system components make the

accurate modelling dicult while the simulation is time consuming. To cope with the

problem, powerful modelling language which can realize not only accurate model repre-

sentation, but increase computational eciency of model simulation is required.

In this thesis, power system modelling and simulation is achieved using an object-oriented,

equation-based modelling language, Modelica. Firstly, some essential component mod-

els in power systems are developed in Modelica. The software-to-software validation

of the models are performed. To serve this purpose, dierent software environments

are exploited depending on software used for the model development. Moreover, four

dierent-scale test systems are implemented, simulated and validated with the developed

models. Through the investigation of the simulation results, the performances of Modelica

in undertaking power system simulations are evaluated.

In addition, since imprecise parameter values in the models are also problematic for accu-

rate model representation, system identication is performed to obtain accurate parame-

ter values for the models. The parameters of a model are identied based on measurement

data. This thesis also illustrates the application of Modelica on model exchange, and the

combination of Modelica and FMI technology on system identication.

Finally, examples of application of the RaPId Toolbox on measurement-based power

system identication are provided.

Place, publisher, year, edition, pages
2014. , 128 p.
EES Examensarbete / Master Thesis, XR-EE-EPS 2014:015
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-160712OAI: diva2:791040
Educational program
Master of Science - Electric Power Engineering
Available from: 2015-02-26 Created: 2015-02-26 Last updated: 2015-02-26Bibliographically approved

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