| 1. |
- Adib Murad, Ahsan, et al.
(författare)
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Equation-Based Modeling of FACTS using Modelica
- 2015
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 2. |
- Adib Murad, Ahsan, et al.
(författare)
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Equation-Based Modeling of Three-Winding and Regulating Transformers using Modelica
- 2015
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 3. |
- Aguilera, M., et al.
(författare)
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Experiences in power system multi-domain modeling and simulation with modelica & FMI : The case of gas power turbines and power systems
- 2018
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Ingår 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). - 9781538641057 ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 4. |
- Gómez, Francisco José, 1982-, et al.
(författare)
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A Modelica-based execution and simulation engine for automated power system model validation
- 2014
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Ingår i: Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES. ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 5. |
- Gómez, Francisco José, 1982-, et al.
(författare)
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Binding CIM and Modelica for Consistent Power System Dynamic Model Exchange and Simulation
- 2015
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Konferensbidrag (refereegranskat)abstract
- 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.
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| 6. |
- Gómez, Francisco José, 1982-, et al.
(författare)
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CIM-2-mod: A CIM to modelica mapping and model-2-model transformation engine
- 2019
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Ingår i: SoftwareX. - : Elsevier BV. - 2352-7110. ; 9, s. 161-167
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 7. |
- Gómez, Francisco José, 1982-, et al.
(författare)
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CIM-Compliant Power System Dynamic Model-to-Model Transformation and Modelica Simulation
- 2018
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Ingår i: IEEE Transactions on Industrial Informatics. - : IEEE. - 1551-3203 .- 1941-0050. ; 14:9, s. 3989-3996
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 8. |
- Gómez, Francisco José, 1982-, et al.
(författare)
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Multi-Domain Semantic Information and Physical Behavior Modeling of Power Systems and Gas Turbines Expanding the Common Information Model
- 2018
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Ingår i: IEEE Access. - : IEEE. - 2169-3536.
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Tidskriftsartikel (refereegranskat)abstract
- 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.
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| 9. |
- Gómez, Francisco José, 1982-
(författare)
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SEMANTIC INFORMATION AND PHYSICAL MULTI-DOMAIN MODELING AND SIMULATION FOR POWER SYSTEMS
- 2019
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- There are different reasons for combining different modeling languages and simulationlanguages: Exchange of more detailed information about power network components, theirparameters and, most importantly, mathematical equations describing their behavior andthe exchange of a mathematical description, using equation-based languages (e.g.:Modelica), allows models to be detached from the mathematical solver. This leads to thedevelopment of new APIs within software tools, which can handle standardized modelinglanguage used for model implementation. Furthermore, the mathematical description ofmodels and the integration of new simulation standards, such as the FMI, could helpavoiding ambiguities on how power system models are implemented, by providingadditional means for the exchange of the complete description of models or parts of amodel between software tools.The aim of this thesis is to provide a new approach for the development of powersystems modeling and simulation software tools. The thesis is focused on proposing newmethods, based on available information and simulation standards for the exchange,modeling, and simulation of power systems dynamic models; and to show a proof ofconcept of the feasibility of the proposed methods. To this aims, the Common InformationModel (CIM) for the modeling and exchange of power system information is studied.Furthermore, the equation-based language Modelica is described and proposed with theaim of complementing the use of the CIM for the modeling and simulation of thosedynamics models.The application of these standards lead to a different view on the modeling andsimulation of power dynamic network models. The conventional view is that of black boxmodeling. The implementation of network model components is strongly connected to thesimulation software tool used for steady-state and dynamics calculations. Thus, a modeleror test engineer only has access to the parameters of a model and relies on the softwarecapabilities to calculate the states and the behavior of that model. This thesis proposes adifferent view per the application of the white box modeling and simulation concept: fulldetail and transparency on the development of a mathematical description of power systemcomponents and discrete events. Moreover, the combination of information standards withequation-based standards to produce network models allows full access and manipulationof the complete model details. Finally, transparency regarding the implementation ofsoftware tools can support either information-based, equations-based languages orsimulation standards, which are suitable for simulation of dynamic network models.
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| 10. |
- Vanfretti, Luigi, 1981-, et al.
(författare)
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An open data repository and a data processing software toolset of an equivalent Nordic grid model matched to historical electricity market data
- 2017
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Ingår i: Data in Brief. - : Elsevier. - 2352-3409. ; 11, s. 349-357
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Tidskriftsartikel (refereegranskat)abstract
- 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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