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Publications (10 of 12) Show all publications
Baudette, M., Singh, R. S., Peric, V. S., Løvlund, S. & Vanfretti, L. (2016). ’In silico’ testing of a real-time PMU-based tool for power system mode estimation. In: 2016 IEEE Power and Energy Society General Meeting, PESGM 2016: . Paper presented at 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17 July 2016 through 21 July 2016 (pp. 1-5). IEEE Computer Society, Article ID 7741638.
Open this publication in new window or tab >>’In silico’ testing of a real-time PMU-based tool for power system mode estimation
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2016 (English)In: 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, IEEE Computer Society, 2016, p. 1-5, article id 7741638Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an overview of the software implementation of a real-time mode estimator application and its testing. The application was developed to estimate inter-area modes from both ambient and ring-down synchrophasor data from multiple phasor measurement units (PMU). The software application was implemented in LabVIEW using Statnett’s synchrophasor software development kit (S3DK), to receive real-time synchrophasor measurements. The different features of the application were tested using two types of experiments presented herein. The first experiment is performed using emulated signals from a simple linear model. The second experiment was designed to use a linearized representation of the KTH-Nordic32 power system model. These experiments are used to carry out quantitative analyses of the tool’s performance.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016
Series
IEEE Power and Energy Society General Meeting, ISSN 1944-9925
Keywords
Inter-area oscillations, Mode estimation, Phasor measurement units, Synchrophasors
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-199938 (URN)10.1109/PESGM.2016.7741638 (DOI)000399937902040 ()2-s2.0-85001967782 (Scopus ID)9781509041688 (ISBN)
Conference
2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17 July 2016 through 21 July 2016
Note

QC 20170119

Available from: 2017-01-19 Created: 2017-01-19 Last updated: 2024-03-15Bibliographically approved
Peric, V. (2016). Non-intrusive Methods for Mode Estimation in Power Systems using Synchrophasors. (Doctoral dissertation). Stockholm: KTH Royal Institute of Technology
Open this publication in new window or tab >>Non-intrusive Methods for Mode Estimation in Power Systems using Synchrophasors
2016 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Real-time monitoring of electromechanical oscillations is of great significance for power system operators; to this aim, software solutions (algorithms) that use synchrophasor measurements have been developed for this purpose. This thesis investigates different approaches for improving mode estimation process by offering new methods and deepening the understanding of different stages in the mode estimation process.

One of the problems tackled in this thesis is the selection of synchrophasor signals used as the input for mode estimation. The proposed selection is performed using a quantitative criterion that is based on the variance of the critical mode estimate. The proposed criterion and associated selection method, offer a systematic and quantitative approach for PMU signal selection. The thesis also analyzes methods for model order selection used in mode estimation. Further, negative effects of forced oscillations and non-white noise load random changes on mode estimation results have been addressed by exploiting the intrinsic power system property that the characteristics of electromechanical modes are predominately determined by the power generation and transmission network.

An improved accuracy of the mode estimation process can be obtained by intentionally injecting a probing disturbance. The thesis presents an optimization method that finds the optimal spectrum of the probing signals. In addition, the probing signal with the optimal spectrum is generated considering arbitrary time domain signal constraints that can be imposed by various probing signal generating devices.

Finally, the thesis provides a comprehensive description of a practical implementation of a real-time mode estimation tool. This includes description of the hardware, software architecture, graphical user interface, as well as details of the most important components such as the Statnett’s SDK that allows easy access to synchrophasor data streams.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. p. xiv, 166
Series
TRITA-EE, ISSN 1653-5146 ; 2016:07
Keywords
Synchrophasors, Phasor measurement units, system identification, mode estimation, electromechanical oscillations, prediction error, signal selection, experiment design, probing
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-182134 (URN)978-91-7595-853-8 (ISBN)
Public defence
2016-03-15, F3, Lindstedtsvägen 26, KTH, Stockholm, 13:00 (English)
Opponent
Supervisors
Projects
FP7 iTesla
Funder
EU, FP7, Seventh Framework Programme
Note

The Doctoral Degrees issued upon completion of the programme are issued by Comillas Pontifical University, Delft University of Technology and KTH Royal Institute of Technology. The invested degrees are official in Spain, the Netherlands and Sweden, respectively.

QC 20160218

Available from: 2016-02-18 Created: 2016-02-16 Last updated: 2022-06-23Bibliographically approved
Perić, V. S., Bombois, X. & Vanfretti, L. (2016). Optimal Signal Selection for Power System Ambient Mode Estimation Using a Prediction Error Criterion. IEEE Transactions on Power Systems, 31(4), 2621-2633
Open this publication in new window or tab >>Optimal Signal Selection for Power System Ambient Mode Estimation Using a Prediction Error Criterion
2016 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 31, no 4, p. 2621-2633Article in journal (Refereed) Published
Abstract [en]

This paper formulates an optimality criterion for the selection of synchrophasor signals to be used in ambient mode estimators. This criterion, which is associated with each measured signal and each dominant mode, is defined as the asymptotic variance of the corresponding estimated mode damping ratio. The value of the criterion is computed directly from an estimated autoregressive moving average (ARMA) model. Because the online computation of the defined criterion (for each measured signal in the system) may be computationally expensive, a fast pre-selection method for initial signal ranking is formulated. The pre-selection method is used to effectively determine a set of the candidate signals for which the formal criterion is evaluated in a second stage. The methodology is illustrated using synthetic measurements from the KTH Nordic 32 and the IEEE 39-bus test systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016
Keywords
Mode estimation, mode meter, PMU placement, prediction error, signal selection
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-188035 (URN)10.1109/TPWRS.2015.2477490 (DOI)000375774200012 ()2-s2.0-84943168177 (Scopus ID)
Note

QC 20160627

Available from: 2016-06-27 Created: 2016-06-03 Last updated: 2022-06-22Bibliographically approved
Peric, V., Bombois, X. & Vanfretti, L. (2016). Optimal Signal Selection for Power System Ambient Mode Estimation Using a Prediction Error Criterion. In: 2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM): . Paper presented at IEEE-Power-and-Energy-Society General Meeting (PESGM), JUL 17-21, 2016, Boston, MA. IEEE
Open this publication in new window or tab >>Optimal Signal Selection for Power System Ambient Mode Estimation Using a Prediction Error Criterion
2016 (English)In: 2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), IEEE , 2016Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2016
Series
IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-209137 (URN)000399937900236 ()978-1-5090-4168-8 (ISBN)
Conference
IEEE-Power-and-Energy-Society General Meeting (PESGM), JUL 17-21, 2016, Boston, MA
Note

QC 20170619

Available from: 2017-06-19 Created: 2017-06-19 Last updated: 2022-06-27Bibliographically approved
Perić, V. S., Bogodorova, T., Mete, A. N. & Vanfretti, L. (2015). Model order selection for probing-based power system mode estimation. In: 2015 IEEE Power and Energy Conference at Illinois, PECI 2015: . Paper presented at 2015 IEEE Power and Energy Conference at Illinois, PECI 2015, 20 February 2015 through 21 February 2015.
Open this publication in new window or tab >>Model order selection for probing-based power system mode estimation
2015 (English)In: 2015 IEEE Power and Energy Conference at Illinois, PECI 2015, 2015Conference paper, Published paper (Refereed)
Abstract [en]

The paper discusses model order selection for probing mode estimation algorithms. Four methods are analyzed and compared: 1) Residual analysis based model order selection, 2) Model order selection based on singular values, 3) Akaike Information Criterion, and 4) Variance-Accounted-For (VAF) as a measure of optimal fitting between measured data and model response. The methods are assessed using synthetic PMU measurements from the simulation of the KTH Nordic 32 Test system and the IEEE test system with 50 generators and 145 buses.

Keywords
Akaike Information Criterion (AIC), Model order selection, Probing mode estimation, Variance-Accounted-For, Energy management, Energy resources, Akaike information criterion, IEEE test systems, Mode estimation, Model-order selection, PMU measurements, Residual analysis, Singular values, Algorithms
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-167394 (URN)10.1109/PECI.2015.7064883 (DOI)000380464400006 ()2-s2.0-84928024680 (Scopus ID)9781479979493 (ISBN)
Conference
2015 IEEE Power and Energy Conference at Illinois, PECI 2015, 20 February 2015 through 21 February 2015
Note

QC 20150528

Available from: 2015-05-28 Created: 2015-05-22 Last updated: 2022-06-23Bibliographically approved
Peric, V. S., Baudette, M., Vanfretti, L., Gjerde, J. O. & Løvlund, S. (2014). Implementation and testing of a real-time mode estimation algorithm using ambient PMU data. In: 2014 Clemson University Power Systems Conference, PSC 2014: . Paper presented at 2014 Clemson University Power Systems Conference, PSC 2014; Clemson, SC; United States; 11 March 2014 through 14 March 2014 (pp. 6808116). IEEE Computer Society
Open this publication in new window or tab >>Implementation and testing of a real-time mode estimation algorithm using ambient PMU data
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2014 (English)In: 2014 Clemson University Power Systems Conference, PSC 2014, IEEE Computer Society, 2014, p. 6808116-Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a software implementation of a real-time power system mode estimator application which uses ambient synchrophasor data. The software is built using Statnett's Synchrophasor Software Development Kit (SDK) as a platform for fast prototyping of real-time synchrophasor applications. The SDK extracts synchrophasor data received in the IEEE C.37.118 protocol and provides them as LabVIEW signals. These signals are preprocessed and mode frequencies and damping ratios are calculated by Yule-Walker's method. The implemented LabVIEW software employs state machine logics which enables modifications and upgrades to the algorithm.

Place, publisher, year, edition, pages
IEEE Computer Society, 2014
Keywords
Mode estimation, Mode meters, State machine, Synchrophasors
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-146695 (URN)10.1109/PSC.2014.6808116 (DOI)000352000600025 ()2-s2.0-84901266223 (Scopus ID)978-1-4799-3960-2 (ISBN)
Conference
2014 Clemson University Power Systems Conference, PSC 2014; Clemson, SC; United States; 11 March 2014 through 14 March 2014
Note

QC 20140616

Available from: 2014-06-16 Created: 2014-06-13 Last updated: 2022-06-23Bibliographically approved
Perić, V. S. & Vanfretti, L. (2014). Power System Ambient Mode Estimation Considering Spectral Load Properties. In: 2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION: . Paper presented at IEEE PES General Meeting, JUL 27-31, 2014, National Harbor, MD. IEEE
Open this publication in new window or tab >>Power System Ambient Mode Estimation Considering Spectral Load Properties
2014 (English)In: 2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, IEEE, 2014Conference paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2014
Series
IEEE Power and Energy Society General Meeting PESGM, ISSN 1944-9925
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-271146 (URN)000501547600035 ()978-1-4799-6415-4 (ISBN)
Conference
IEEE PES General Meeting, JUL 27-31, 2014, National Harbor, MD
Note

QC 20200320

Available from: 2020-03-20 Created: 2020-03-20 Last updated: 2024-03-15Bibliographically approved
Peric, V. S. & Vanfretti, L. (2014). Power-System Ambient-Mode Estimation Considering Spectral Load Properties. IEEE Transactions on Power Systems, 29(3), 1133-1143
Open this publication in new window or tab >>Power-System Ambient-Mode Estimation Considering Spectral Load Properties
2014 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 29, no 3, p. 1133-1143Article in journal (Refereed) Published
Abstract [en]

Existing mode meter algorithms were derived with the assumption that load variations are accurately represented by white noise or an integral of white noise, which may not be satisfied in actual power systems. This paper proposes a mode meter algorithm which relaxes this assumption by explicitly taking into account spectral load characteristics. These characteristics can be either measured or estimated using the inverse of the existing power system model. The method is developed assuming an autoregressive moving average (ARMA) model of the system and incorporating estimated correlations between loads as inputs and synchrophasor measurements as outputs. Performances of the proposed method are compared with the Yule-Walker and N4SID methods using simulated synchrophasor data obtained from the KTH Nordic 32 test system. Finally, the effects of measurement noise on the proposed method are analyzed, as well as the effects of model uncertainty when the power system model is used to determine spectral load characteristics. It is shown that the proposed algorithm increases accuracy in mode estimates when the loads are described with nonwhite noise.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2014
Keywords
Forced oscillations, load spectrum, mode estimation, mode meter, synchrophasors
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-145813 (URN)10.1109/TPWRS.2013.2292331 (DOI)000335399100013 ()2-s2.0-84899640490 (Scopus ID)
Funder
StandUp
Note

QC 20140604

Available from: 2014-06-04 Created: 2014-06-02 Last updated: 2022-06-23Bibliographically approved
Vanfretti, L., Aarstrand, V. H., Almas, M. S., Peric, V. S. & Gjerde, J. O. (2013). A Software Development Toolkit for Real-Time Synchrophasor Applications. In: 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013: . Paper presented at 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013; Grenoble, France, 16-20 June 2013.
Open this publication in new window or tab >>A Software Development Toolkit for Real-Time Synchrophasor Applications
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2013 (English)In: 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013, 2013Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a software development toolkit for Wide Area Monitoring Systems. By using this development toolkit, a researcher is able to manipulate synchrophasor data in the LabView environment, which enables fast software prototyping and testing. This toolkit makes full scale testing in real-time easier for researchers, liberating them of complex and time consuming synchrophasor data handling. The toolkit exploits the IEEE C37.118.2 – 2011 protocol making it independent of any specific equipment and their manufacturers. An application of the development kit is demonstrated in a laboratory environment with a specially designed experimental setup composed of a real-time digital simulator and four phasor measurement units (PMUs).

Keywords
Wide Area Monitoring Systems, softwared evelopment toolkit, PMU applications, real time hardware-in-the-loop simulation
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-128596 (URN)10.1109/PTC.2013.6652191 (DOI)000387091900112 ()2-s2.0-84890885987 (Scopus ID)9781467356695 (ISBN)
Conference
2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013; Grenoble, France, 16-20 June 2013
Note

QC 20130916

Available from: 2013-09-13 Created: 2013-09-13 Last updated: 2024-01-18Bibliographically approved
Vanfretti, L., Bengtsson, S., Peric, V. S. & Gjerde, J. O. (2013). Spectral estimation of low-frequency oscillations in the Nordic grid using ambient synchrophasor data under the presence of forced oscillations. In: 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013: . Paper presented at 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013; Grenoble, France, 16-20 June 2013 (pp. 6652190). IEEE conference proceedings
Open this publication in new window or tab >>Spectral estimation of low-frequency oscillations in the Nordic grid using ambient synchrophasor data under the presence of forced oscillations
2013 (English)In: 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013, IEEE conference proceedings, 2013, p. 6652190-Conference paper, Published paper (Refereed)
Abstract [en]

Spectral analysis applied to synchrophasor data can provide valuable information about lightly damped low-frequency modes in power systems. This paper demonstrates application of two non-parametric spectral estimators focusing on mode frequency estimation. The first one is the well-known Welch spectral estimator whereas the application of Multitaper method is proposed here. In addition, the paper discusses mode estimator tuning procedures and the estimators' performances in the presence of 'forced' oscillations. The validity of the proposed application of the non-parametric estimators and tuning procedures is verified through both simulated data and PMU data originating from the high-voltage grid of the Nordic power system. Special attention is given to the analysis of the behaviour of different low frequency modes present in the Nordic grid, including that of forced oscillations.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013
Keywords
forced oscillations, Inter-area oscillations, mode estimation, mode meter, Nordic Grid, Nordic Power System, PMU, power system parameter estimation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-139121 (URN)10.1109/PTC.2013.6652190 (DOI)000387091900111 ()2-s2.0-84890874294 (Scopus ID)9781467356695 (ISBN)
Conference
2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013; Grenoble, France, 16-20 June 2013
Note

QC 20140113

Available from: 2014-01-13 Created: 2014-01-07 Last updated: 2022-06-23Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-6044-4813

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