Abstract-Dynamic modeling and time-domain simulation for power systems is inconsistent across different simulation platforms, which makes it difficult for engineers to consistently exchange models and assess model quality. Therefore, there is a clear need for unambiguous dynamic model exchange. In this article, a possible solution is proposed by using open modeling equation-based Modelica tools. The nature of the Modelica modeling language supports model exchange at the "equation-level", this allows for unambiguous model exchange between different Modelica-based simulation tools without loss of information about the model. An example of power system dynamic model exchange between two Modelica-based software Scilab/Xcos and Dymola is presented. In addition, common issues related to simulation, including the extended modeling of complex controls, the capabilities of the DAE solvers and initialization problems are discussed. In order to integrate power system Modelica models into other simulation tools (MATLAB/Simulink), the utilization of the FMI Toolbox is investigated as well.
Abstract-Power system phasor time-domain simulation is often carried out through domain specific tools such as Eurostag, PSS/E, and others. While these tools are efficient, their individual sub-component models and solvers cannot be accessed by the users for modification. One of the main goals of the FP7 iTesla project [1] is to perform model validation, for which, a modelling and simulation environment that provides model transparency and extensibility is necessary.1 To this end, a power system library has been built using the Modelica language. This article describes the Power Systems library, and the software-to-software validation carried out for the implemented component as well as the validation of small-scale power system models constructed using different library components. Simulations from the Modelica models are compared with their Eurostag equivalents. Finally, due to its standardization, the Modelica language is supported by different modelling and simulation tools. This article illustrates how Modelica models can be shared across different simulation platforms without loss of information and maintaining consistency in simulation results.
Abstract-This paper discusses the possibility of providing voltage control-based ancillary services using thermostatically controlled loads (TCLs). The idea is to change the voltage at the point of common coupling in order to control power consumption of the TCLs through time. This allows to utilize the most common type of loads in the grid to provide ancillary services. These services differ from usual demand response strategies that operate on short to medium time scales. In this paper the authors propose a controller that regulate the power consumption by minimizing the power consumption error signal and by taking physical restrictions into account. Voltage restrictions arise due to the small window of voltage variability about the nominal value of the controlled voltage. In addition, capacitor bank switching interactions with motor and thermostatically controlled loads is discussed.
This work reports how the multi-domain physical modeling and simulation Modelica language has been employed to create a benchmark power grid and gas turbine model within the ITEA3 OpenCPS project. The modeling approach is not only shown to be useful to test the functionalities of the OpenCPS toolchains, but it also could give rise to potential applications in power system domain studies where the widely-accepted turbinegovernor models are not rich enough to represent the multi-domain system dynamics.
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