Design and implementation of NMS using SNMP for AMI network device monitoring

Kim, Young Il; Park, So-Jeong; Jung, Nam-Jun; Choi, Moon-suk; Park, Byung-Seok

doi:10.1109/powercon.2016.7754021

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…For the conventional NMS, the communication condition of a target modem can be monitored from ping utility based on the internet protocol (IP) address. On the other hand, for the current NMS of KEPCO, each PLC modem can only access one-hop BPS signals between the modem and its parent based on the media access control address [17]. Hence, using such BPS signals, which are available from the given modem, is not sufficient to reflect the multiple modems in evaluating the communication path between the target modem and the DCU.…”

Section: Introductionmentioning

confidence: 99%

Statistical Learning for Service Quality Estimation in Broadband PLC AMI

Kim

Chung

2019

Energies

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In this paper, we propose a method to estimate communication performance for the advanced metering infrastructure that employs the power line communication (PLC) technology. Using bit-per-symbol signals from the PLC network management system, we estimate a PLC model quality in terms of packet success rate based on statistical learning. We also verify the accuracy of the estimations by comparing them with measured communication test results at test sites. Finally, from the packet success rate estimate, the qualities of services, such as meter readings and time-of-use pricing data downloading under several metering protocol sequences, are investigated through a mathematical analysis, and numerical results are provided.

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Section: Introductionmentioning

confidence: 99%