A Method for Remote Estimation of Wattmeter’s Adjustment Gain

Nakutis, Žilvinas; Saunoris, Marius; Ramanauskas, Ramūnas; Daunoras, Vytautas; Lukočius, Robertas; Marčiulionis, P.

doi:10.1109/tim.2018.2857118

Cited by 12 publications

(21 citation statements)

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“…Both methods assume that all loads consuming power are monitored by individual meters. A new method for remote estimation of energy meter's adjustment factor was proposed in [3]. This method is aimed to determine the multiplicative correction factor for a separate energy meter using a remote reference energy meter.…”

Section: Introductionmentioning

confidence: 99%

“…The systematic error of the estimation was not yet investigated for wide range of electrical distribution networks. Usually, it is of interest to explore the worst-case error (WCE) possible in the real world electrical grid for any A new method for remote estimation of energy meter's adjustment factor was proposed in [3]. This method is aimed to determine the multiplicative correction factor for a separate energy meter using a remote reference energy meter.…”

Section: Introductionmentioning

confidence: 99%

“…Even though, it might be possible to derive an analytical expression of the error but searching for the maximum WCE value and the corresponding set of grid and load parameters might be a challenging nonlinear constrained optimization task. The goal of the research presented hereain is to determine the systematic WCE of an energy meter's remote adjustment gain estimation procedure according to the method described in [3]. The other constituent of the total error is a random error, which was already partially explored in [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…The goal of the research presented hereain is to determine the systematic WCE of an energy meter's remote adjustment gain estimation procedure according to the method described in [3]. The other constituent of the total error is a random error, which was already partially explored in [3,4]. The idea of a remote watthour meter's online adjustment gain estimation method [3] is quite new and dependence of its systematic error on circuit parameters is not investigated yet.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Analysis of the Systematic Error of a Remote Method for a Wattmeter Adjustment Gain Estimation in Smart Grids

et al. 2018

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Smart energy meters supporting bidirectional data communication enable novel remote error monitoring applications. This research targets characterization of the systematic worst-case error of the previously published remote watthour meter’s gain estimation method based on the comparison of synchronous measurements by the reference and meter under test. To achieve the research aim a methodology based on global maximization of the systematic error objective function assuming the typical low voltage electrical distribution network operation parameters ranges as defined by the standard recommendations for network design. To cross verify the reliability of the assessed solutions the suggested error analysis methodology was implemented utilizing two stochastic global extremum search techniques (genetic algorithms, pattern search) and the third one utilizing nonlinear programming solver. It was determined that the wattmeter adjustment gain worst-case error does not exceed 0.5% if the remote wattmeter monitored load power factor is larger than 0.1 and a network is designed according to the recommendation of the acceptable voltage drop less than 5%. For a load exhibiting power factor larger than cos φ = 0.9 the worst-case error was found to be less than 0.1%. It is concluded therefore that considering the systematic worst-case error the previously suggested remote wattmeter adjustment gain estimation method is suitable for remote error monitoring of Class 2 and Class 1 wattmeters.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%