Probabilistic analysis on measurement timescale in medium voltage grid

Abstract

The paper presents a probabilistic approach to evaluate the errors due to measurement timescale in medium voltage distribution grid. Three common data acquisition methods by measurement devices are shown, and two kinds of measurement errors due to timescale are defined. Based on Gaussian Process, the stochastic characteristics of household loads are discussed, which are important random variables influencing the grid. A probabilistic approach with Monte Carlo method is presented to evaluate the measurement errors due to timescale problem. Finally, a case study on a simplified grid is given.