Probabilistic analysis on measurement timescale in medium voltage grid

Author

Yu Xiang ; Cobben, J.F.G.

Author_Institution

Fac. of Electr. Eng., Eindhoven Univ. of Technol., Eindhoven, Netherlands

fYear

2013

fDate

1-3 Nov. 2013

Firstpage

52

Lastpage

57

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.

Keywords

Gaussian processes; Monte Carlo methods; data acquisition; power distribution; power grids; probability; random processes; Gaussian process; Monte Carlo method; data acquisition methods; household loads; measurement devices; measurement errors; measurement timescale problem; medium voltage distribution grid; probabilistic analysis; random variables; stochastic characteristics; Current measurement; Estimation error; Measurement uncertainty; Monte Carlo methods; Random variables; Time measurement; Voltage measurement; Gaussian Process; Monte Carlo method; measurement timescale; probabilistic approach;

fLanguage

English

Publisher

ieee

Conference_Titel

Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on

Conference_Location

Wroclaw

Print_ISBN

978-1-4799-2802-6

Type

conf

DOI

10.1109/EEEIC-2.2013.6737882

Filename

6737882