On the Exploitation of Admittance Measurements for Wired Network Topology Derivation
The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Passerini, Federico [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
power line communications (PLCs) |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on instrumentation and measurement - New York, NY, 1963, 66(2017), 3, Seite 374-382 |
|---|---|
| Übergeordnetes Werk: |
volume:66 ; year:2017 ; number:3 ; pages:374-382 |
| Links: |
|---|
| DOI / URN: |
10.1109/TIM.2016.2636478 |
|---|
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| 520 | |a The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. | ||
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| 650 | 4 | |a Admittance | |
| 650 | 4 | |a power line communications (PLCs) | |
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| 650 | 4 | |a transmission line (TL) theory | |
| 650 | 4 | |a Topology | |
| 650 | 4 | |a smart microgrids (SMG) | |
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| 650 | 4 | |a distribution networks | |
| 650 | 4 | |a topology derivation | |
| 650 | 4 | |a Admittance measurement | |
| 650 | 4 | |a Network topology | |
| 700 | 1 | |a Tonello, Andrea M |4 oth | |
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10.1109/TIM.2016.2636478 doi PQ20170301 (DE-627)OLC1990767893 (DE-599)GBVOLC1990767893 (PRQ)c949-7a4fefa1e73203a1400427239b5baa5cb0ed426a9216c42724297102e1787ca50 (KEY)0079426020170000066000300374ontheexploitationofadmittancemeasurementsforwiredn DE-627 ger DE-627 rakwb eng 620 DNB 50.21 bkl 53.00 bkl Passerini, Federico verfasserin aut On the Exploitation of Admittance Measurements for Wired Network Topology Derivation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. DSL Admittance power line communications (PLCs) Transmission line measurements transmission line (TL) theory Topology smart microgrids (SMG) Estimation distribution networks topology derivation Admittance measurement Network topology Tonello, Andrea M oth Enthalten in IEEE transactions on instrumentation and measurement New York, NY, 1963 66(2017), 3, Seite 374-382 (DE-627)129358576 (DE-600)160442-9 (DE-576)014730863 0018-9456 nnns volume:66 year:2017 number:3 pages:374-382 http://dx.doi.org/10.1109/TIM.2016.2636478 Volltext http://ieeexplore.ieee.org/document/7797477 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_24 GBV_ILN_70 GBV_ILN_170 GBV_ILN_2014 GBV_ILN_2061 50.21 AVZ 53.00 AVZ AR 66 2017 3 374-382 |
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10.1109/TIM.2016.2636478 doi PQ20170301 (DE-627)OLC1990767893 (DE-599)GBVOLC1990767893 (PRQ)c949-7a4fefa1e73203a1400427239b5baa5cb0ed426a9216c42724297102e1787ca50 (KEY)0079426020170000066000300374ontheexploitationofadmittancemeasurementsforwiredn DE-627 ger DE-627 rakwb eng 620 DNB 50.21 bkl 53.00 bkl Passerini, Federico verfasserin aut On the Exploitation of Admittance Measurements for Wired Network Topology Derivation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. DSL Admittance power line communications (PLCs) Transmission line measurements transmission line (TL) theory Topology smart microgrids (SMG) Estimation distribution networks topology derivation Admittance measurement Network topology Tonello, Andrea M oth Enthalten in IEEE transactions on instrumentation and measurement New York, NY, 1963 66(2017), 3, Seite 374-382 (DE-627)129358576 (DE-600)160442-9 (DE-576)014730863 0018-9456 nnns volume:66 year:2017 number:3 pages:374-382 http://dx.doi.org/10.1109/TIM.2016.2636478 Volltext http://ieeexplore.ieee.org/document/7797477 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_24 GBV_ILN_70 GBV_ILN_170 GBV_ILN_2014 GBV_ILN_2061 50.21 AVZ 53.00 AVZ AR 66 2017 3 374-382 |
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10.1109/TIM.2016.2636478 doi PQ20170301 (DE-627)OLC1990767893 (DE-599)GBVOLC1990767893 (PRQ)c949-7a4fefa1e73203a1400427239b5baa5cb0ed426a9216c42724297102e1787ca50 (KEY)0079426020170000066000300374ontheexploitationofadmittancemeasurementsforwiredn DE-627 ger DE-627 rakwb eng 620 DNB 50.21 bkl 53.00 bkl Passerini, Federico verfasserin aut On the Exploitation of Admittance Measurements for Wired Network Topology Derivation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. DSL Admittance power line communications (PLCs) Transmission line measurements transmission line (TL) theory Topology smart microgrids (SMG) Estimation distribution networks topology derivation Admittance measurement Network topology Tonello, Andrea M oth Enthalten in IEEE transactions on instrumentation and measurement New York, NY, 1963 66(2017), 3, Seite 374-382 (DE-627)129358576 (DE-600)160442-9 (DE-576)014730863 0018-9456 nnns volume:66 year:2017 number:3 pages:374-382 http://dx.doi.org/10.1109/TIM.2016.2636478 Volltext http://ieeexplore.ieee.org/document/7797477 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_24 GBV_ILN_70 GBV_ILN_170 GBV_ILN_2014 GBV_ILN_2061 50.21 AVZ 53.00 AVZ AR 66 2017 3 374-382 |
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10.1109/TIM.2016.2636478 doi PQ20170301 (DE-627)OLC1990767893 (DE-599)GBVOLC1990767893 (PRQ)c949-7a4fefa1e73203a1400427239b5baa5cb0ed426a9216c42724297102e1787ca50 (KEY)0079426020170000066000300374ontheexploitationofadmittancemeasurementsforwiredn DE-627 ger DE-627 rakwb eng 620 DNB 50.21 bkl 53.00 bkl Passerini, Federico verfasserin aut On the Exploitation of Admittance Measurements for Wired Network Topology Derivation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. DSL Admittance power line communications (PLCs) Transmission line measurements transmission line (TL) theory Topology smart microgrids (SMG) Estimation distribution networks topology derivation Admittance measurement Network topology Tonello, Andrea M oth Enthalten in IEEE transactions on instrumentation and measurement New York, NY, 1963 66(2017), 3, Seite 374-382 (DE-627)129358576 (DE-600)160442-9 (DE-576)014730863 0018-9456 nnns volume:66 year:2017 number:3 pages:374-382 http://dx.doi.org/10.1109/TIM.2016.2636478 Volltext http://ieeexplore.ieee.org/document/7797477 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_24 GBV_ILN_70 GBV_ILN_170 GBV_ILN_2014 GBV_ILN_2061 50.21 AVZ 53.00 AVZ AR 66 2017 3 374-382 |
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10.1109/TIM.2016.2636478 doi PQ20170301 (DE-627)OLC1990767893 (DE-599)GBVOLC1990767893 (PRQ)c949-7a4fefa1e73203a1400427239b5baa5cb0ed426a9216c42724297102e1787ca50 (KEY)0079426020170000066000300374ontheexploitationofadmittancemeasurementsforwiredn DE-627 ger DE-627 rakwb eng 620 DNB 50.21 bkl 53.00 bkl Passerini, Federico verfasserin aut On the Exploitation of Admittance Measurements for Wired Network Topology Derivation 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. DSL Admittance power line communications (PLCs) Transmission line measurements transmission line (TL) theory Topology smart microgrids (SMG) Estimation distribution networks topology derivation Admittance measurement Network topology Tonello, Andrea M oth Enthalten in IEEE transactions on instrumentation and measurement New York, NY, 1963 66(2017), 3, Seite 374-382 (DE-627)129358576 (DE-600)160442-9 (DE-576)014730863 0018-9456 nnns volume:66 year:2017 number:3 pages:374-382 http://dx.doi.org/10.1109/TIM.2016.2636478 Volltext http://ieeexplore.ieee.org/document/7797477 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_24 GBV_ILN_70 GBV_ILN_170 GBV_ILN_2014 GBV_ILN_2061 50.21 AVZ 53.00 AVZ AR 66 2017 3 374-382 |
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On the Exploitation of Admittance Measurements for Wired Network Topology Derivation |
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On the Exploitation of Admittance Measurements for Wired Network Topology Derivation |
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Passerini, Federico |
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10.1109/TIM.2016.2636478 |
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on the exploitation of admittance measurements for wired network topology derivation |
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On the Exploitation of Admittance Measurements for Wired Network Topology Derivation |
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The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. |
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The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. |
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The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of power line communications networks it is helpful to implement data routing strategies, while in power distribution networks and smart microgrids it is required for grid monitoring and for power flow management. In this paper, we use the transmission line theory to shed new light and to show how the topological properties of a wired network can be found exploiting admittance measurements at the nodes. An analytic proof is reported to show that the derivation of the topology can be done in complex networks under certain assumptions. We also analyze the effect of the network background noise on admittance measurements. In this respect, we propose a topology derivation algorithm that works in the presence of noise. We finally analyze the performance of the algorithm in a setup that is typical of power line distribution networks. |
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On the Exploitation of Admittance Measurements for Wired Network Topology Derivation |
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