Modelica Driven Power System Modeling, Simulation and Validation

Le Qi · 2014

Power system simulation is an important tool for the planning and operation of electricpower systems. With the growth of large-scale power systems and penetration of newtechnologies, the complexity of power system simulation has increased. In this back-ground, achievement of valuable simulation results in the simulation has become one ofthe important research questions in electrical power engineering eld.The most eective solution of this question is to develop accurate models for the powersystem. However, the complexity and diversity of power system components make theaccurate modelling dicult while the simulation is time consuming. To cope with theproblem, 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 validationof the models are performed. To serve this purpose, dierent software environmentsare exploited depending on software used for the model development. Moreover, fourdierent-scale test systems are implemented, simulated and validated with the developedmodels. Through the investigation of the simulation results, the performances of Modelicain 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 measurementdata. This thesis also illustrates the application of Modelica on model exchange, and thecombination of Modelica and FMI technology on system identication.Finally, examples of application of the RaPId Toolbox on measurement-based powersystem identication are provided.

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