Topology identification for multiple-bus DC MicroGrids via primary control perturbations

Marko Angjelichinoski, Cedomir Stefanovic, Petar Popovski, Anna Scaglione, Frede Blaabjerg

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citation (Scopus)

Resumé

We propose a Least Squares Estimation procedure for estimating the admittance matrix of multi-bus DC MicroGrids (MGs). In the proposed solution, the generators simultaneously inject training signals in the form of small deterministic perturbations of the primary droop control parameters and measure the related steady state deviations of the bus voltage. When the training signals meet sufficient excitation conditions seen in the number of injected perturbations, the admittance matrix can be uniquely identified. The measurements are collected and processed by a topology identification and monitoring system that produces unbiased estimate of the admittance matrix. The numerical evaluations show that the estimator can recover the admittance matrix of the MG with very high precision, proving its practical viability.
OriginalsprogEngelsk
Titel2017 IEEE Second International Conference on DC Microgrids (ICDCM)
ForlagIEEE
Publikationsdato2017
Sider202-206
ISBN (Elektronisk)978-1-5090-4479-5
DOI
StatusUdgivet - 2017
BegivenhedSecond IEEE International Conference on DC Microgrids, 2017 - NH Hotel Nurnberg City, Nurnberg, Tyskland
Varighed: 26 jun. 201729 jun. 2017
http://www.icdcm.co

Konference

KonferenceSecond IEEE International Conference on DC Microgrids, 2017
LokationNH Hotel Nurnberg City
LandTyskland
ByNurnberg
Periode26/06/201729/06/2017
Internetadresse

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Topology
Monitoring
Electric potential

Citer dette

Angjelichinoski, M., Stefanovic, C., Popovski, P., Scaglione, A., & Blaabjerg, F. (2017). Topology identification for multiple-bus DC MicroGrids via primary control perturbations. I 2017 IEEE Second International Conference on DC Microgrids (ICDCM) (s. 202-206). IEEE. https://doi.org/10.1109/ICDCM.2017.8001045
Angjelichinoski, Marko ; Stefanovic, Cedomir ; Popovski, Petar ; Scaglione, Anna ; Blaabjerg, Frede. / Topology identification for multiple-bus DC MicroGrids via primary control perturbations. 2017 IEEE Second International Conference on DC Microgrids (ICDCM). IEEE, 2017. s. 202-206
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title = "Topology identification for multiple-bus DC MicroGrids via primary control perturbations",
abstract = "We propose a Least Squares Estimation procedure for estimating the admittance matrix of multi-bus DC MicroGrids (MGs). In the proposed solution, the generators simultaneously inject training signals in the form of small deterministic perturbations of the primary droop control parameters and measure the related steady state deviations of the bus voltage. When the training signals meet sufficient excitation conditions seen in the number of injected perturbations, the admittance matrix can be uniquely identified. The measurements are collected and processed by a topology identification and monitoring system that produces unbiased estimate of the admittance matrix. The numerical evaluations show that the estimator can recover the admittance matrix of the MG with very high precision, proving its practical viability.",
author = "Marko Angjelichinoski and Cedomir Stefanovic and Petar Popovski and Anna Scaglione and Frede Blaabjerg",
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Angjelichinoski, M, Stefanovic, C, Popovski, P, Scaglione, A & Blaabjerg, F 2017, Topology identification for multiple-bus DC MicroGrids via primary control perturbations. i 2017 IEEE Second International Conference on DC Microgrids (ICDCM). IEEE, s. 202-206, Nurnberg, Tyskland, 26/06/2017. https://doi.org/10.1109/ICDCM.2017.8001045

Topology identification for multiple-bus DC MicroGrids via primary control perturbations. / Angjelichinoski, Marko; Stefanovic, Cedomir; Popovski, Petar; Scaglione, Anna; Blaabjerg, Frede.

2017 IEEE Second International Conference on DC Microgrids (ICDCM). IEEE, 2017. s. 202-206.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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T1 - Topology identification for multiple-bus DC MicroGrids via primary control perturbations

AU - Angjelichinoski, Marko

AU - Stefanovic, Cedomir

AU - Popovski, Petar

AU - Scaglione, Anna

AU - Blaabjerg, Frede

PY - 2017

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N2 - We propose a Least Squares Estimation procedure for estimating the admittance matrix of multi-bus DC MicroGrids (MGs). In the proposed solution, the generators simultaneously inject training signals in the form of small deterministic perturbations of the primary droop control parameters and measure the related steady state deviations of the bus voltage. When the training signals meet sufficient excitation conditions seen in the number of injected perturbations, the admittance matrix can be uniquely identified. The measurements are collected and processed by a topology identification and monitoring system that produces unbiased estimate of the admittance matrix. The numerical evaluations show that the estimator can recover the admittance matrix of the MG with very high precision, proving its practical viability.

AB - We propose a Least Squares Estimation procedure for estimating the admittance matrix of multi-bus DC MicroGrids (MGs). In the proposed solution, the generators simultaneously inject training signals in the form of small deterministic perturbations of the primary droop control parameters and measure the related steady state deviations of the bus voltage. When the training signals meet sufficient excitation conditions seen in the number of injected perturbations, the admittance matrix can be uniquely identified. The measurements are collected and processed by a topology identification and monitoring system that produces unbiased estimate of the admittance matrix. The numerical evaluations show that the estimator can recover the admittance matrix of the MG with very high precision, proving its practical viability.

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Angjelichinoski M, Stefanovic C, Popovski P, Scaglione A, Blaabjerg F. Topology identification for multiple-bus DC MicroGrids via primary control perturbations. I 2017 IEEE Second International Conference on DC Microgrids (ICDCM). IEEE. 2017. s. 202-206 https://doi.org/10.1109/ICDCM.2017.8001045