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  • 1.
    Adib Murad, Ahsan
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem.
    Gómez, Francisco José
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem.
    Vanfretti, Luigi
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem.
    Equation-Based Modeling of FACTS using Modelica2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper reports results of extending the iTesla Modelica Power System Library with the implementation of new Modelica models for power electronic-based FACTS (Flexible AC Transmission System) to be used in phasor time-domain simulations. To show the applicability of Modelica for modeling FACTS devices and power system simulation, a software-to-software validation is performed against the Power System Analysis Toolbox (PSAT), which is used as the reference software for validation. A quantitative and qualitative assessment of the validation results between PSAT and Modelica is given.

  • 2.
    Adib Murad, Ahsan
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem.
    Gómez, Francisco José
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem.
    Vanfretti, Luigi
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem. Statnett SF, Oslo.
    Equation-Based Modeling of Three-Winding and Regulating Transformers using Modelica2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The simulation of power transformer models is important when analyzing the dynamic behavior of power systems, in particular, when considering voltage magnitude or phase regulation controls. This paper reports results of extending the library of transformers in the iTesla Modelica Power Systems Library. Three transformer models have been implemented: a three-winding transformer, an under-load tap changing transformer (ULTC) and a phase shifting transformer (PST). An IEEE 14-Bus, power system test model was also implemented, both in Modelica and PSAT, to assess the performance of the models. Software-to-software validation is carried out against PSAT, a quantitative and qualitative assessment of the validation results between PSAT and Modelica is given.

  • 3. Aguilera, M.
    et al.
    Vanfretti, L.
    Gómez, Francisco José
    KTH.
    Experiences in power system multi-domain modeling and simulation with modelica & FMI: The case of gas power turbines and power systems2018Inngår i: 2018 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems, MSCPES 2018 - Held as part of CPS Week, Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2018, s. 1-6, artikkel-id 8405397Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The turbine-governor models that are currently used in studies of power systems include over-simplifications of turbomachinery elements. Due to the growing need to support intermittent energy resources with other energy sources like gas turbines, more detailed models including an explicit representation of the physical dynamics are attractive. In this paper, the advantages of the Modelica language and the FMI standard are considered to carry out modeling and multi-domain simulation of gas turbines with power grids, which can be used to evaluate scenarios of power variability. The work gathers preliminary results of the potential that FMUs offer to promote the exchange of turbine models by manufacturers and to conduct multi-domain simulations in several tools.

  • 4.
    Gómez, Francisco José
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Elkraftteknik.
    SEMANTIC INFORMATION AND PHYSICAL MULTI-DOMAIN MODELING AND SIMULATION FOR POWER SYSTEMS2019Doktoravhandling, monografi (Annet vitenskapelig)
    Abstract [en]

    There are different reasons for combining different modeling languages and simulation

    languages: Exchange of more detailed information about power network components, their

    parameters and, most importantly, mathematical equations describing their behavior and

    the exchange of a mathematical description, using equation-based languages (e.g.:

    Modelica), allows models to be detached from the mathematical solver. This leads to the

    development of new APIs within software tools, which can handle standardized modeling

    language used for model implementation. Furthermore, the mathematical description of

    models and the integration of new simulation standards, such as the FMI, could help

    avoiding ambiguities on how power system models are implemented, by providing

    additional means for the exchange of the complete description of models or parts of a

    model between software tools.

    The aim of this thesis is to provide a new approach for the development of power

    systems modeling and simulation software tools. The thesis is focused on proposing new

    methods, based on available information and simulation standards for the exchange,

    modeling, and simulation of power systems dynamic models; and to show a proof of

    concept of the feasibility of the proposed methods. To this aims, the Common Information

    Model (CIM) for the modeling and exchange of power system information is studied.

    Furthermore, the equation-based language Modelica is described and proposed with the

    aim of complementing the use of the CIM for the modeling and simulation of those

    dynamics models.

    The application of these standards lead to a different view on the modeling and

    simulation of power dynamic network models. The conventional view is that of black box

    modeling. The implementation of network model components is strongly connected to the

    simulation software tool used for steady-state and dynamics calculations. Thus, a modeler

    or test engineer only has access to the parameters of a model and relies on the software

    capabilities to calculate the states and the behavior of that model. This thesis proposes a

    different view per the application of the white box modeling and simulation concept: full

    detail and transparency on the development of a mathematical description of power system

    components and discrete events. Moreover, the combination of information standards with

    equation-based standards to produce network models allows full access and manipulation

    of the complete model details. Finally, transparency regarding the implementation of

    software tools can support either information-based, equations-based languages or

    simulation standards, which are suitable for simulation of dynamic network models.

  • 5.
    Gómez, Francisco José
    et al.
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Elkraftteknik.
    Aguilera, Miguel
    Instituto Costaricense de Electricidad (ICE), San José, Costa Rica.
    Vanfretti, Luigi
    Olsen, Svein Harald
    Statnett SF, Oslo, Norway.
    Multi-Domain Semantic Information and Physical Behavior Modeling of Power Systems and Gas Turbines Expanding the Common Information Model2018Inngår i: IEEE Access, E-ISSN 2169-3536Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The rapid increase of Intermittent Energy Resources (IER) there is a need to have dispatchable production available to ensure secure operation and increase opportunity for energy system flexibility. Gas turbine-based power plants offer flexible operation that is being improved with new technology advancements. Those plants provide in general, quick start together with significant ramping capability, which can be exploited to balance IERs. Consequently, to understand this potential source of flexibility, better models for gas turbines are required for power systems studies and analysis. In this work both the required semantic information and physical behavior models of such multi-domain systems are considered. First, UML class diagrams and RDF schemas based on the Common Information Model (CIM) standards are used to describe the semantic information of the electrical power grid. An extension that exploits the ISO 15926 standard is herein proposed to derive the multi-domain semantics required by integrated electrical power grid with detailed gas turbine dynamic models. Second, the Modelica language is employed to create the equation-based models which represent the behavior of a multi-domain physical system. A comparative simulation analysis between the power system domain model and the multi-domain model has been performed. Some differences between the turbine dynamics representation of the commonly used GGOV1 standard model and a more detailed gas turbine model are shown.

  • 6.
    Gómez, Francisco José
    et al.
    KTH, Skolan för elektroteknik och datavetenskap (EECS), Elkraftteknik.
    Vanfretti, Luigi
    Electric, Computer and Systems Engineering, Rensselear Polytechnique Institute, Troy, NY, USA.
    Aguilera, Miguel
    Instituto Costaricense de Electricidad (ICE), San José, Costa Rica.
    Olsen, Svein
    Statnett SF, Oslo, Norway.
    CIM-2-mod: A CIM to modelica mapping and model-2-model transformation engine2019Inngår i: SoftwareX, ISSN 2352-7110, Vol. 9, s. 161-167Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    New requirement on power systems analysis tools consider information exchange for both steady-state and system dynamics information. New European regulations on information exchange power system dynamic simulations now require coordinating TSOs operations under different scenarios, some of which require to assess the dynamic behavior of power systems under a vast array of contingencies. As a mean to comply with these regulations and to advance the state-of-the-art, this work describes the software architecture of a Model-To-Model (M2M) transformation tool to create power system dynamic models using Modelica components by linking it to data from the Common Information Model (CIM). This software architecture is conceived to combine the CIM standard language with the Modelica standardized language, and to provide a Free/LibreOpen Source Software (FLOSS) CIM-compliant unambiguous power system modeling solution considering both steady-state and dynamic model representations of the electrical grid.

  • 7.
    Gómez, Francisco José
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Vanfretti, Luigi
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem. Statnett SF, Oslo.
    Olsen, Svein
    Statnett SF, Oslo.
    A Modelica-based execution and simulation engine for automated power system model validation2014Inngår i: Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES, 2014, s. 1-6Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Power systems model information exchange and the simulation of user defined models is a challenge for Transmission System Operators (TSOs) due to the use of different simulation software with specific data format and models strongly coupled to the simulation software's numerical routines. The use of Open Source software for simulation and modelling can help to decouple power system models from simulation tools. This work describes the design of a software tool following the Free/Libre Open Source Software philosophy to simulate equation-based models and implement a standard data format for model information exchange.

  • 8.
    Gómez, Francisco José
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem.
    Vanfretti, Luigi
    KTH, Skolan för elektro- och systemteknik (EES), Elektriska energisystem. Statnett SF, Oslo.
    Olsen, Svein
    Statnett SF, Oslo.
    Binding CIM and Modelica for Consistent Power System Dynamic Model Exchange and Simulation2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The Common Information Model (CIM) is considered the most prominent data model for power systems information exchange between Transmission System Operators (TSO), facilitating coordination of TSO for steady-state operation. However, information exchange should also consider power systems dynamic models required to perform dynamic simulations so to coordinate TSOs operations under emergency conditions. This work describes the design and implementation of a mapping between CIM and Modelica. The Modelica models provide a strict mathematical representation of power system dynamic models using a standardized modeling language. The proposed solution combines both modeling languages, thus providing a CIM-compliant unambiguous power system model exchange and simulation solution considering both steady-state and dynamic models.

  • 9.
    Gómez, Francisco José
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Vanfretti, Luigi
    Renssellaer Polytechnic Institute, Troy, NY 12180, United States.
    Olsen, Svein
    Statnett SF, Oslo.
    CIM-Compliant Power System Dynamic Model-to-Model Transformation and Modelica Simulation2018Inngår i: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 14, nr 9, s. 3989-3996, artikkel-id 8231176Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    European regulations on information exchange have put new requirements on analysis tools, the main one being the adoption of the IEC Common Information Model (CIM) that may help interoperability across applications. This paper proposes the use of Model-Driven Software Engineering (MDSE) methods to meet these new requirements. Specifically, this paper shows how to apply Model-to-Model (M2M) transformations. The M2M method presented herein allows to work directly with the information and mathematical description and computer implementation of dynamic models, independent from specific analysis tools. The M2M method proposed requires the development of a mapping between CIM/UML and the Modelica language, which allows to derive Modelica models of physical power systems for dynamic simulations. 

  • 10. Leon, G.
    et al.
    Halat, M.
    Sabate, M.
    Heyberger, J. -B
    Gomez, Francisco José
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Vanfretti, L.
    Aspects of power system modeling, initialization and simulation using the Modelica language2015Inngår i: 2015 IEEE Eindhoven PowerTech, PowerTech 2015, IEEE conference proceedings, 2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    A medium sized power system, with a large number of devices, is fully modeled and simulated in Modelica. For this, new models for electrical components and mathematical blocks were developed in Modelica and the full system topology and parameters were taken from a reference system made in Eurostag. Initialization and time-domain simulations are performed in a Modelica simulation environment and the results obtained for the steady-state and the response to time-events are compared and validated with simulations performed in Eurostag.

  • 11.
    Vanfretti, Luigi
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Adib Murad, M. Ahsan
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Gómez, Francisco José
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    León, Gladys
    Grupo AIA.
    Machado, Silvia
    Grupo AIA.
    Heyberger, Jean-Baptiste
    RTE France.
    Petitrenaud, Sebastien
    RTE France.
    Towards automated power system model transformation for multi-TSO phasor time domain simulations using Modelica2017Inngår i: IEEE PES Innovative Smart Grid Technologies Conference Europe, IEEE, 2017, Vol. F126485, artikkel-id 7856341Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Transmission system operators in Europe describe their dynamic power system models using different simulation tools, and due to the de-facto modeling philosophy used, these descriptions are ambiguous between tools. In addition the current CIM standard for dynamic model exchange does not guarantee consistency when exchanging models. This poses a challenge to perform pan-European dynamic security assessment. This paper presents a method for transforming power system model descriptions typically used by TSOs into a consistent and unambiguous equation based modeling language. As a result, this method allows performing simulations in multiple tools supporting the standardized Modelica language. The transformation method is validated by steady state and dynamic simulations and comparing simulation outputs between a reference tool (PSS/E or Eurostag) and a Modelica tool. It is shown that the Modelica language can be used as a common language to provide unambiguous model descriptions consistent with those tools typically used by TSOs, without loss of information and maintaining simulation fidelity.

  • 12.
    Vanfretti, Luigi
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Baudette, Maxime
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Bogodorova, Tetiana
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Lavenius, Jan
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Gómez, Francisco José
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    RaPId: A modular and extensible toolbox for parameter estimation of Modelica and FMI compliant models2016Inngår i: SoftwareX, ISSN 2352-7110, Vol. 5, s. 144-149Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    This paper describes the Rapid Parameter Identification toolbox (RaPId), developed within the EU FP7 iTesla project. The toolbox was designed to carry out parameter identification on models developed using the Modelica language, focusing in particular on power system model identification needs. The toolbox has been developed with modularity and extensibility in mind, using Matlab/Simulink as a plug-in environment, where different tasks of the identification process are carried out. The identification process uses different optimization algorithms to improve the fitting of the model’s response to selected criteria. The modular architecture of RaPId gives users complete freedom to extend and adapt the software to their needs, e.g. to implement or link external solvers for simulation or optimization. The compatibility with Modelica models is brought by the use of technologies compliant with the Functional Mock-up Interface (FMI) standard.

  • 13.
    Vanfretti, Luigi
    et al.
    KTH.
    Murad, Mohammed Ahsan Adib
    KTH.
    Gómez, Francisco José
    KTH.
    Calibrating a VSC-HVDC Model for Dynamic Simulations using RaPId and EMTP Simulation Data2017Inngår i: 2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, IEEE , 2017Konferansepaper (Fagfellevurdert)
    Abstract [en]

    High Voltage Direct Current (HVDC) interconnections have seen an increased rate of deployment, in particular to exploit distant renewable energy sources. In order to design and understand their behavior, including their effect on the overall network, different computer tools are used for modeling and simulation of the HVDC model. This approach results in several challenges in modeling and simulation consistency, particularly for HVDC systems. To address some of these issues the standardized modeling language Modelica is used in this paper to model a VSC (Voltage Source Converter) HVDC and its high-level controllers, for phasor-time domain studies. The use of Modelica-tools that support the FMI standard for model exchange allows to utilize the model in different environments. In this work, the FMI standard is used to import the VSC-HVDC model into the RaPId toolbox environment, allowing to calibrate the VSC-HVDC phasor time domain model against reference waveform generated from its corresponding EMTP-RV model. Model calibration is carried out through different parameter identification methodologies investigated in the paper. The calibration approach and the RaPId Toolbox used to implement it can be of broader interest for researchers involved in power system model validation, particularly those working with field measurements.

  • 14.
    Vanfretti, Luigi
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Murad, Mohammed Ahsan Adib
    Gómez, Francisco José
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Calibration and Sensitivity Analysis of Upper Level VSC-HVDC Controls2017Inngår i: 2017 IEEE Manchester PowerTech, Powertech 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, artikkel-id 7981028Konferansepaper (Fagfellevurdert)
    Abstract [en]

    High Voltage Direct Current (HVDC) interconnections have seen an increased rate of deployment, in particular to exploit distant renewable energy sources. In order to design and understand their behavior, including their effect on the overall network, different computer tools are used for modeling and simulation. This approach results in several challenges in modeling and simulation consistency, particularly for HVDC systems. In this paper, to address some of these issues, the standardized Modelica modeling language is used to model a VSC (Voltage Source Converter)-based HVDC and its upper-level controllers, suitable for dynamic analyses. The use of Modelica-tools that support the FMI standard for model-exchange allows to utilize the model in different environments. In this work, the FMI standard is used to import the VSC-HVDC model into the RaPId toolbox environment, thus allowing to calibrate the VSC-HVDC phasor model against reference waveform generated from its corresponding EMTP-RV model. Model calibration is carried out through parameter identification and a sensitivity analysis is carried out to interpret the identification results.

  • 15.
    Vanfretti, Luigi
    et al.
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Olsen, Svein
    Statnett SF, Oslo.
    Arava, Venkata Satya Narasinham
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Laera, Giuseppe
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Bidadfar, Ali
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Rabuzin, Tin
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Lavenius, Jan
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Baudette, Maxime
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Gómez, Francisco José
    KTH, Skolan för elektro- och systemteknik (EES), Elkraftteknik.
    Jakobsen, Sigurd H.
    Norwegian University of Science and Technology, Trondheim, Norway.
    An open data repository and a data processing software toolset of an equivalent Nordic grid model matched to historical electricity market data2017Inngår i: Data in Brief, E-ISSN 2352-3409, Vol. 11, s. 349-357Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    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.

1 - 15 of 15
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