2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA) 2019
DOI: 10.1109/sgsma.2019.8784661
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Three Phase State Estimation in Power Distribution Networks by Integrating IEEE-1588 with Smart Meters

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Cited by 5 publications
(7 citation statements)
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“…The other aspect which differentiates MSM from these existing PMUs in is its novel design. The MSM uses an unbundled technique, which enables the LCPMU hardware to be integrated with the existing utility smart meters at the LV level [30]. It also uses the IEEE‐1588 PTP for the time synchronisation purpose in the place of GPS (Global Positioning System).…”
Section: Proposed Architecturementioning
confidence: 99%
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“…The other aspect which differentiates MSM from these existing PMUs in is its novel design. The MSM uses an unbundled technique, which enables the LCPMU hardware to be integrated with the existing utility smart meters at the LV level [30]. It also uses the IEEE‐1588 PTP for the time synchronisation purpose in the place of GPS (Global Positioning System).…”
Section: Proposed Architecturementioning
confidence: 99%
“…A preliminary concept of MSM was presented by the authors in [30]. In this paper, full details of the proposed MSM implementation, including the IEEE‐1588 PTP time synchronisation testing is presented.…”
Section: Proposed Architecturementioning
confidence: 99%
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“…The nonlinear weighted least-squares (NWLS)-based three-phase state-estimation technique was employed in [28][29][30][31] for the monitoring of distribution grids. In [28], a three-phase state-estimation algorithm was proposed that used the aggregated smart-meter data of several LV grids for estimating the states of a MV grid.…”
Section: Introductionmentioning
confidence: 99%
“…However, the accuracy of the proposed method compared to that of a single-phase state-estimation algorithm is not evaluated. In [29], low-cost measurement devices instead of smart meters were used for three-phase state estimation. As the accuracy of those meters was relatively low, data collected from them could not be used for asset management.…”
Section: Introductionmentioning
confidence: 99%