This article presents an open data repository, the methodology to generate it and the associated data processing software developed to consolidate an hourly snapshot historical data set for the year 2015 to an equivalent Nordic power grid model (aka Nordic 44), the consolidation was achieved by matching the model׳s physical response w.r.t historical power flow records in the bidding regions of the Nordic grid that are available from the Nordic electricity market agent, Nord Pool.The model is made available in the form of CIM v14, Modelica and PSS/E (Siemens PTI) files. The Nordic 44 model in Modelica and PSS/E were first presented in the paper titled “iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations” (Vanfretti et al., 2016) [1] for a single snapshot. In the digital repository being made available with the submission of this paper (SmarTSLab_Nordic44 Repository at Github, 2016) [2], a total of 8760 snapshots (for the year 2015) that can be used to initialize and execute dynamic simulations using tools compatible with CIM v14, the Modelica language and the proprietary PSS/E tool are provided. The Python scripts to generate the snapshots (processed data) are also available with all the data in the GitHub repository (SmarTSLab_Nordic44 Repository at Github, 2016) [2].This Nordic 44 equivalent model was also used in iTesla project (iTesla) [3] to carry out simulations within a dynamic security assessment toolset (iTesla, 2016) [4], and has been further enhanced during the ITEA3 OpenCPS project (iTEA3) [5]. The raw, processed data and output models utilized within the iTesla platform (iTesla, 2016) [4] are also available in the repository. The CIM and Modelica snapshots of the “Nordic 44” model for the year 2015 are available in a Zenodo repository.

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This paper presents a tool to populate power flow results for phasor time-domain simulations with the Open Instance Power System Library (OpenIPSL). Our proposal takes advantage of the object-oriented philosophy of Modelica and introduces a data structure based on records to handle power flow data for a given network model. Such records constitute a user-friendly interface to change the guess values used to solve the initial condition of a dynamical simulation straightforwardly. Power flow calculations are carried out by the open-source Python library GridCal. We demonstrate the tool capabilities by generating power flow results for several grid models and comparing them with those obtained via proprietary tools such as PSS/E. Moreover, we provide tutorial materials to ease integrating the tool for a new/experienced OpenIPSL user.

In this paper the focus is on a particular type of converters that is the two-level VSC (DC/AC Voltage Source Converter). In this category the averaged model and the switching model of an half-bridge converter are considered. The half-bridge is a building block for multiphase and multilevel converters. The implementation of the two models of half-bridge converter using Modelica language is described with the structure of the package developed in Dymola. Different control strategies are introduced showing different behavior of the models in the simulations. The goals of this paper are several. First of all the modeling choice was to use Modelica for this type of work, that is traditionally carried out with domain specific tools, to show that it is possible to perform implementation and studies in the same field where traditional commercial softwares have been commonly and extensively used, with additional benefits that the language provides. In addition to that, this paper shows that the control design studies for an half-bridge converter, typically performed using averaged value models, can result in a set of control parameters values that are not successfully applicable to switching models of the same power electronic device.