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Publications (8 of 8) Show all publications
Rabuzin, T., Lavenius, J., Taylor, N. & Nordström, L. (2018). Bayesian Detection of Islanding Events Using Voltage Angle Measurements. In: 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018: . Paper presented at 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018; Aalborg; Denmark; 29 October 2018 through 31 October 2018. IEEE, Article ID 8587561.
Open this publication in new window or tab >>Bayesian Detection of Islanding Events Using Voltage Angle Measurements
2018 (English)In: 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018, IEEE, 2018, article id 8587561Conference paper, Published paper (Refereed)
Abstract [en]

The growing presence of distributed generation in power systems increases the risk for the unintentional creation of electrical islands. It is important to apply reliable and quick is landing protection methods. At the same time, the deployment of phasor measurement units facilitates the usage of data-oriented techniques for the development of new wide-area protection applications, one of which is islanding protection. This paper presents a Bayesian approach to detecting an islanding event, which utilizes measurements of voltage angles at the system's buses. A model of mixtures of probabilistic principal component analysers has been fitted to the data using a variational inference algorithm and subsequently used for islanding detection. The proposed approach removes the need for setting parameters of the probabilistic model. The performance of the method is demonstrated on synthetic power system measurements.

Place, publisher, year, edition, pages
IEEE, 2018
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-245971 (URN)10.1109/SmartGridComm.2018.8587561 (DOI)000458801500076 ()2-s2.0-85061060271 (Scopus ID)978-1-5386-7954-8 (ISBN)
Conference
2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2018; Aalborg; Denmark; 29 October 2018 through 31 October 2018
Note

QC 20190314

Available from: 2019-03-14 Created: 2019-03-14 Last updated: 2019-03-14Bibliographically approved
Baudette, M., Castro, M., Rabuzin, T., Lavenius, J., Bogodorova, T. & Vanfretti, L. (2018). OpenIPSL: Open-Instance Power System Library - Update 1.5 to "iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations". Software Quality Professional, 7, 34-36
Open this publication in new window or tab >>OpenIPSL: Open-Instance Power System Library - Update 1.5 to "iTesla Power Systems Library (iPSL): A Modelica library for phasor time-domain simulations"
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2018 (English)In: Software Quality Professional, ISSN 1522-0540, Vol. 7, p. 34-36Article in journal (Refereed) Published
Abstract [en]

This paper presents the latest improvements implemented in the Open-Instance Power System Library (OpenIPSL). The OpenIPSL is a fork from the original iTesla Power Systems Library (iPSL) by some of the original developers of the iPSL. This fork's motivation comes from the will of the authors to further develop the library with additional features tailored to research and teaching purposes. The enhancements include improvements to existing models, the addition of a new package of three phase models, and the implementation of automated tests through continuous integration.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV, 2018
Keywords
Modelica, Power systems, Simulation, Power system dynamics, Power system modeling
National Category
Environmental Engineering
Identifiers
urn:nbn:se:kth:diva-244166 (URN)10.1016/j.softx.2018.01.002 (DOI)000457139300007 ()
Note

QC 20190218

Available from: 2019-02-18 Created: 2019-02-18 Last updated: 2019-02-26Bibliographically approved
Lavenius, J. & Vanfretti, L. (2018). PMU-Based Estimation of Synchronous Machines' Unknown Inputs Using a Nonlinear Extended Recursive Three-Step Smoother. IEEE Access, 6, 57123-57136
Open this publication in new window or tab >>PMU-Based Estimation of Synchronous Machines' Unknown Inputs Using a Nonlinear Extended Recursive Three-Step Smoother
2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, p. 57123-57136Article in journal (Refereed) Published
Abstract [en]

Knowledge of the synchronous machines' control input signals and internal states can provide valuable insight to system operators for assessing security margins and the stability of the power system. For example, during disturbances in a stressed power system, it can be of great value to monitor the performance of the machine's control system, e.g., the response of the field voltage, mechanical power, and the field current. As there are often no real-time power plant measurements available to power system operators, internal states, and unknown inputs of generator units would need to be estimated from synchrophasor measurements. This paper proposes a new estimation algorithm, the nonlinear extended recursive three-step smoother (NERTSS), to simultaneously estimate the states and the unknown inputs of the synchronous machine using data from phasor measurement units. These quantities can then be used to monitor the performance of the machine's controls. The case studies presented in the paper compare the estimation performance of the NERTSS with the extended Kalman filter with unknown inputs (EKF-UI) when noisy synchrophasor measurements are used. The simulation results show that the proposed estimation method compares favorably with respect to the EKF-UI in terms of the achieved estimation accuracy.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2018
Keywords
Synchronous generator, Kalman filters, phasor measurement units, power system operation, state estimation, unknown input estimation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-238936 (URN)10.1109/ACCESS.2018.2873572 (DOI)000448993100001 ()2-s2.0-85054504932 (Scopus ID)
Note

QC 20181114

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-16Bibliographically approved
Vanfretti, L., Olsen, S., Arava, V. S., Laera, G., Bidadfar, A., Rabuzin, T., . . . Jakobsen, S. H. (2017). An open data repository and a data processing software toolset of an equivalent Nordic grid model matched to historical electricity market data. Data in Brief, 11, 349-357
Open this publication in new window or tab >>An open data repository and a data processing software toolset of an equivalent Nordic grid model matched to historical electricity market data
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2017 (English)In: Data in Brief, E-ISSN 2352-3409, Vol. 11, p. 349-357Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Electrical power systems; Electric power transmission; Smart grid; Power system modeling and simulation; Power system dynamics; Dynamic simulations; Power flow; Common Information Model (CIM); Modelica; Historical market data; Modeling; Simulation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-204928 (URN)10.1016/j.dib.2017.02.021 (DOI)2-s2.0-85013906901 (Scopus ID)
Projects
iTESLAOpenCPS
Note

QC 20170509

Available from: 2017-04-04 Created: 2017-04-04 Last updated: 2018-02-26Bibliographically approved
Vanfretti, L., Baudette, M., Bogodorova, T., Lavenius, J. & Gómez, F. J. (2016). RaPId: A modular and extensible toolbox for parameter estimation of Modelica and FMI compliant models. SoftwareX, 5, 144-149
Open this publication in new window or tab >>RaPId: A modular and extensible toolbox for parameter estimation of Modelica and FMI compliant models
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2016 (English)In: SoftwareX, ISSN 2352-7110, Vol. 5, p. 144-149Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2016
Keywords
FMI; Modelica; Model validation; System identification
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-204927 (URN)10.1016/j.softx.2016.07.004 (DOI)
Projects
iTESLA
Note

QC 20170519

Available from: 2017-04-04 Created: 2017-04-04 Last updated: 2017-05-19Bibliographically approved
Zhang, M., Baudette, M., Lavenius, J., Løvlund, S. & Vanfretti, L. (2015). Modelica Classes of the Norwegian Grid for iTesla and SW-to-SW Validation. In: : . Paper presented at The 56th Conference on Simulation and Modelling (SIMS 56), 7-9 October 2015, Linköping.
Open this publication in new window or tab >>Modelica Classes of the Norwegian Grid for iTesla and SW-to-SW Validation
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2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Following the European network of transmission systemoperators for electricity (ENTSO-E) R&D Road Map,efforts of collaboration between the European transmissionsystem operators (TSO) have led to common researchprojects concerning power system operation suchas iTesla. iTesla aims to develop a common toolbox tosupport the future operation of pan-European power grid.This toolbox was developed to use Modelica models.

The work presented here encompasses the developmentof Modelica classes for power gird componentsused by Nordic TSOs to model the Nordic synchronousgrid. The performance of these Modelica models havebeen validated through different test cases implementedin both Power System Simulator for Engineering (PSS/E) as domain-specific tool and a Modelica simulation environment.The results from dynamic simulations with thepresence of different perturbations have been compared tothe PSS/E reference to validate the Modelica implementation,reaching almost identical records between simulationresults from both tools.

Keywords
Modelica, Simulation, Software validation, Power systems
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-171201 (URN)
Conference
The 56th Conference on Simulation and Modelling (SIMS 56), 7-9 October 2015, Linköping
Note

QC 20151104

Available from: 2015-07-20 Created: 2015-07-20 Last updated: 2015-11-04Bibliographically approved
Lavenius, J., Vanfretti, L. & Taranto, G. N. (2015). Performance Assessment of PMU-Based Estimation Methods of Thevenin Equivalents for Real-Time Voltage Stability Monitoring. In: 2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015): . Paper presented at IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC), JUN 10-13, 2015, Rome, ITALY (pp. 1977-1982). IEEE
Open this publication in new window or tab >>Performance Assessment of PMU-Based Estimation Methods of Thevenin Equivalents for Real-Time Voltage Stability Monitoring
2015 (English)In: 2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015), IEEE , 2015, p. 1977-1982Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates the performance of different methods for calculating the Thevenin equivalent parameters based using only data obtained from real-time synchrophasor measurements. Estimating the parameters from data affected by noisy measurements, transients, and continuously varying power system parameters may yield Thevenin equivalents that do not reflect the actual voltage stability of the system. The paper proposes using a total least squares method to take into account errors in the model from time-varying Thevenin parameters and noise. The paper reviews two different methods for Thevenin equivalent estimation proposed in the literature. The suitability of the three methods described in the paper is tested in case studies, where the performance of the methods are tested with both noise-free and noisy data. The papers also investigates effect of changes in the power consumptions at other buses on the Thevenin parameters seen from the monitored load bus.

Place, publisher, year, edition, pages
IEEE, 2015
Keywords
Least squares approximations, Synchrophasor applications, Voltage instability detection, Wide Area Monitoring Systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-180383 (URN)000366654400333 ()2-s2.0-84943163044 (Scopus ID)978-1-4799-7992-9 (ISBN)
Conference
IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC), JUN 10-13, 2015, Rome, ITALY
Note

QC 20160115

Available from: 2016-01-15 Created: 2016-01-13 Last updated: 2016-02-25Bibliographically approved
Perninge, M., Lavenius, J. & Vanfretti, L. (2013). Approximating a post-contingency stable operation region in parameter space through time-domain simulation. In: Proceedings of IREP Symposium: Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid, IREP 2013. Paper presented at 2013 IREP Symposium on Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid, IREP 2013; Rethymno, Greece, 25-30 August 2013. IEEE
Open this publication in new window or tab >>Approximating a post-contingency stable operation region in parameter space through time-domain simulation
2013 (English)In: Proceedings of IREP Symposium: Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid, IREP 2013, IEEE , 2013Conference paper, Published paper (Refereed)
Abstract [en]

Operating criteria for power systems, such as the (N - 1)-criterion, are often based on evaluating whether the system is vulnerable to a specific set of contingencies. Therefore, a major part of power system security is concerned with establishing regions in parameter space where the system is vulnerable to specific contingencies. In this article we exploit the possibility of using Monte Carlo simulations to build an approximation of the region, in parameter space, where the power system will remain stable following a given contingency.

Place, publisher, year, edition, pages
IEEE, 2013
Series
Proceedings of IREP Symposium: Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid, IREP 2013
National Category
Energy Systems Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-139133 (URN)10.1109/IREP.2013.6629361 (DOI)2-s2.0-84890506546 (Scopus ID)9781479901999 (ISBN)
Conference
2013 IREP Symposium on Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid, IREP 2013; Rethymno, Greece, 25-30 August 2013
Funder
StandUp, 76156
Note

QC 20140109

Available from: 2014-01-09 Created: 2014-01-07 Last updated: 2016-04-19Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0988-7624

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