A Short-term Power Fluctuations Averaging in Low Voltage AC Grid

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

doi:10.1109/amps.2017.8078347

Cited by 5 publications

(2 citation statements)

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“…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%

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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%

“…Based on the experimental data collected from typical buildings (office, multi-apartment block, private house), it was shown in [4] that this assumption is valid with a high probability, for instance, it is 90% probability that active power consumption is fluctuations are within 1% from its nominal value during the period of 3 s.…”

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confidence: 99%