A Panacea to Inherent BPL Technology Deficiencies by Deploying Broadband over Power Lines (BPL) Connections with Multi-Hop Repeater Systems

This paper investigates the possibility of detecting the hook style energy theft in the overhead low-voltage (OV LV) power grids when the smart grid conveniences are available. On the basis of the broadband over power lines (BPL) technology and the proposed method of the detection of the hook style energy theft (HS-DET method), a plethora of different scenarios concerning the hook style energy theft is considered so that the performance of HS-DET method can be assessed. The impact of OV LV BPL topologies, hook characteristics and measurement differences on the performance of HS-DET method is mainly assessed through appropriate metrics, such as derivative metrics of percent error sum (PES). Finally, appropriate contour plots against the hook style energy theft are proposed revealing the efficiency of HS-DET method against any relevant threat in any conditions.

Section: Bpl Signal Transmission and Couplingmentioning

confidence: 99%

Detection of Energy Theft in Overhead Low-Voltage Power Grids – The Hook Style Energy Theft in the Smart Grid Era

Lazaropoulos

2018

“…In accordance with [6], Weibull and Wald channel attenuation statistical distributions perform the best capacity estimations in OV MV and UN MV power grid types regardless of the examined BPL topology class and the applied coupling scheme when EMI policies committed to the broadband character of BPL technology are adopted (e.g., FCC Part 15 of [23]). When EMI policies less protective to the BPL technology are adopted (e.g., German Reg TP NB30 and the BBC / NATO Proposal of [13], [24], [25]), a more complex situation occurs in terms of the most suitable channel attenuation statistical distribution for the capacity estimations while the number of unsuccessful estimations significantly increases in all the cases examined. In this paper, it is investigated the potential of using only one channel attenuation statistical distribution, say, the Empirical channel attenuation statistical distribution, instead of trying to identify the best channel attenuation statistical distribution by taking into consideration each time the current operation settings.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Statistical Hybrid Model Performance in Overhead and Underground Medium Voltage Broadband over Power Lines Channels by Adopting Empirical Channel Attenuation Statistical Distribution

Lazaropoulos

2019

Statistical hybrid model is a statistical channel model suitable for the broadband over power lines (BPL) networks while it is based on the statistical processing of channel attenuation and capacity values of preassumed BPL topology classes. One of the key operation elements of the statistical hybrid model, which affects its results fidelity, is the selection of the appropriate channel attenuation statistical distribution among a set of well-known channel attenuation statistical distributions (i.e., such as Gaussian, Lognormal, Wald, Weibull and Gumbel distributions). The selection of the appropriate channel attenuation statistical distribution becomes a hard task since it depends on a number of factors such as the power grid type-either overhead (OV) or underground (UN) power grid-, the representative distribution BPL topology of the examined class, the applied electromagnetic interference (EMI) policies and the used coupling scheme type. The contribution of this paper is to identify the conditions whether the Empirical channel attenuation statistical distribution can act as the default distribution of statistical hybrid model (modified statistical hybrid model) thus replacing the required comparison analysis prior to the selection of the aforementioned distributions of the initial statistical hybrid model. The evaluation comparison is based on the already applied metrics of capacity percentage change and average absolute capacity percentage change.

“…The channel transfer function matrix depends on the frequency, the power grid type, the physical properties of the cables and the geometry of the MTL configuration [1], [3], [44], [47].…”

Section: Bpl Signal Transmissionmentioning

confidence: 99%

“…Indeed, for the same power grid type and coupling scheme, the SE differences among the different applied coupling schemes remain now relatively low. In contrast with CS1 module [1], [8], [47], CS2 module allows the WtW and PtP coupling schemes to present approximately the same SE results with the WtG and StP coupling schemes, respectively. Here it should be reminded the better EMC performance of WtW and PtP coupling schemes [15], [33].…”

Section: Se Without Measurement Differencesmentioning

confidence: 99%

Smart Energy and Spectral Efficiency (SE) of Distribution Broadband over Power Lines (BPL) Networks – Part 1: The Impact of Measurement Differences on SE Metrics

Lazaropoulos¹

2018

This paper assesses the impact of measurement differences on the spectral efficiency (SE) of distribution broadband over power lines (BPL) networks when CS2 module is applied. The broadband performance of distribution BPL networks is investigated in the 3-88 MHz frequency range when appropriate injected power spectral density limits (IPSD limits) and uniform additive white Gaussian noise (AWGN) PSD levels from the BPL literature are assumed. The impact of measurement differences on SE of the distribution BPL networks is here assessed through appropriate SE metrics. These SE metrics assessing this impact are detailed in order to act as the benchmark metrics of the countermeasures techniques against measurement differences of the companion paper.