Title
A Method for Remote Estimation of Wattmeter’s Adjustment Gain
Abstract
A method for remote wattmeter (RW) adjustment is introduced in this paper. The estimated adjustment gain is intended for corrections of wattmeter’s indications. Currently, legal metrology regulations do not allow such type of adjustment of certified instruments in the field. However, the proposed adjustment could be applicable in the areas of private or industrial subaccounting, home automation, and so on. If the achievable uncertainty could be specified, the method might be suggested for the wattmeter’s calibration or verification. The implementation of remote adjustment becomes possible if both remote and reference wattmeters are connected to the same electrical grid and are equipped with a data communication channel. The main idea of the method is based on a temporary injection of the additional load at the location of remote device and acquisition of synchronized power readings by both reference and remote devices. The acquired readings are then processed to derive an adjustment gain of the RW. The proposed method aims to cancel an influence of the measurement unit propagating medium between the reference and remote devices. It is assumed that the characteristics of the medium are constant during the short period that is necessary to acquire readings. It is demonstrated that using the simulation of the proposed setup in the case of typical power losses in distribution lines, the adjustment gain can be estimated precisely. It is shown that in the case of remote measurement, the injected load power uncertainty can be reduced by averaging the acquired power samples.
Year
DOI
Venue
2018
10.1109/TIM.2018.2857118
IEEE Transactions on Instrumentation and Measurement
Keywords
Field
DocType
Wattmeters,Calibration,Estimation,Power measurement,Uncertainty,Metrology
Wattmeter,Units of measurement,Metrology,Communication channel,Electronic engineering,Home automation,Electrical grid,Calibration,Mathematics
Journal
Volume
Issue
ISSN
68
3
0018-9456
Citations 
PageRank 
References 
1
0.48
0
Authors
6