On the Impact of Measurement Errors on Loss Calculations in Distribution Grids

Abstract

Power or energy losses are an important metric to describe efficiency of distribution grids. They can also be relevant input metrics for fault and theft detection approaches. When considering low-voltage grids, power losses have to be obtained from distributed low-cost measurement devices, which leads to measurement inaccuracies. When calculating power losses, these measurement inaccuracies need to be taken into account. This paper presents first steps for obtaining unbiased estimators and confidence intervals of loss calculation taking into account statistical errors on input measurands. Smart meter measurements from a real low-voltage grid are used to show the validity of approximations that are useful for efficient and effective confidence interval calculation.

On the Calculation of Time Alignment Errors in Data Management Platforms for Distribution Grid Data

“…Future work will investigate the following directions: (1) Derive more robust fitting approaches for the MMP-GapT model using other discretization approaches for the measurement data; (2) analyze how to use the MMP-GapT model and online calculations of the Additive Alignment Error for quantification of total measurement errors in data management systems and observability applications, such as loss calculation [ 24 ], for distribution grids; (3) investigate a joint model of measurement errors and time alignment errors and its impact on data analytics applications in electrical distribution grids; (4) include consideration of incomplete measurement data in the online estimation procedures; (5) investigate the impact of the averaging period T on the time alignment error and on different data analytics applications (such as loss calculation), which utilize the measurement data. It is also expected that some theoretical limits can be obtained for a given for large T , and the practical application of such limit theorems may be investigated.…”