High‐resolution and low‐complexity dynamic topology estimation for PLC networks assisted by impulsive noise source detection

Zhang, Chao; Zhu, Xu; Huang, Yi; Liu, Gan

doi:10.1049/iet-com.2015.0454

Cited by 12 publications

(6 citation statements)

References 27 publications

(72 reference statements)

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“…The proposed technique can tackle some limitations of the existing plug-and-play topology estimation techniques for PLC networks, namely [7], [8], [9], [10], but at the same time introduces some challenges, as discussed below.…”

Section: A Relation With Existing Solutions and Contributionmentioning

confidence: 99%

“…Dimension of the network: a problem of the existing two step techniques [7], [8], [9], [10], is that the topology is inferred only if each node (or the main node in the case of FDR and TFDR) knows the distance between itself and any other node of the network. Moreover, the multipath propagation and the strong attenuation of the high frequency signals limit the maximum distance that can be sensed.…”

Section: A Relation With Existing Solutions and Contributionmentioning

confidence: 99%

“…Some recent proposals [7], [8], [9], [10] aim to estimate the PLC network topology as plug-and-play solutions (i.e., no historical data is considered), by using a two-step procedure. First, the channel response is sensed at different frequencies to estimate the distances between the nodes.…”

Section: Introductionmentioning

confidence: 99%

“…However, the FDR reliability is limited by the maximum observable distance and the number of branches. Some better performance is achieved using Time Frequency Domain Reflectometry [8]. In [9], it is assumed that all the nodes of the network are equipped with a PLC modem.…”

Section: Introductionmentioning

confidence: 99%

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On the Exploitation of Admittance Measurements for Wired Network Topology Derivation

Passerini

Tonello

2017

IEEE Trans. Instrum. Meas.

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Abstract-The knowledge of the topology of a wired network is often of fundamental importance. For instance, in the context of Power Line Communications (PLC) networks it is helpful to implement data routing strategies, while in power distribution networks and Smart Micro Grids (SMG) 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 using values that are typical of power line distribution networks.

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Section: A Relation With Existing Solutions and Contributionmentioning

confidence: 99%

Section: A Relation With Existing Solutions and Contributionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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On the Exploitation of Admittance Measurements for Wired Network Topology Derivation

Passerini

Tonello

2017

IEEE Trans. Instrum. Meas.

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“…Moreover, the PLC network topology is the same as that of the electrical grid which utilizes it. Hence, as a side product, PLC can also be exploited to get topology estimates, which may then be a valuable information to certain smart grid algorithms [20,55].…”

Section: Communication Infrastructurementioning

confidence: 99%

Smart Grid for the Smart City

Bonetto

Rossi

2016

Designing, Developing, and Facilitating Smart Cities

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Modern cities are becoming more and more dependent on the reliability and efficiency of the electrical distribution infrastructure. In the past few years, a great effort has been devoted to the creation of an integrated infrastructure that combines a resilient power distribution system, distributed generation devices based on renewables (as, for example, photovoltaic panels and wind turbines), a reliable and secure communication system, and real-time energy pricing policies. The resulting infrastructure is called smart grid and constitutes the backbone of the smart city. As noted in [22], "The smart city is all about how the city "organism" works together as an integrated whole and survives when put under extreme conditions" and, moreover: "the energy infrastructure is arguably the single most important feature in any city. If unavailable for a significant enough period of time, all other functions will eventually cease." Hence, developing and implementing a fully functional smart grid infrastructure is a priority for future smart cities.In order to implement a smart grid, at least the following three technical domains must cooperate, namely: (i) power electronics, (ii) information and communication technology (ICT), and (iii) economics.From a power electronics standpoint, the diffusion of distributed energy resources (DERs) poses a number of interesting challenges that the future power distribution grid must face to evolve into a smart power distribution grid. On the one hand, the presence of grid connected DERs (i.e., DC power generators connected to the main power distribution system through grid-tie inverters or capacitor banks) must be carefully handled to maintain acceptable electrical power quality. In particular, voltage sags (overvoltages) due to the switch off (on) of groups of DERs must be avoided. Moreover, harmonic distortion must be minimized, since it is one of the major factors degrading the overall power quality [18]. On the other hand, if the presence

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